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Article

Azolo[1,5-a]pyrimidines and Their Condensed Analogs with Anticoagulant Activity

by
Konstantin V. Savateev
1,*,
Victor V. Fedotov
1,
Vladimir L. Rusinov
1,
Svetlana K. Kotovskaya
1,
Alexandr A. Spasov
2,
Aida F. Kucheryavenko
2,
Pavel M. Vasiliev
2,
Vadim A. Kosolapov
2,
Victor S. Sirotenko
2,
Kseniya A. Gaidukova
2 and
Georgiy M. Uskov
2
1
Department of Organic and Biomolecular Chemistry, Ural Federal University Named after the First President of Russia B.N. Eltsin, Mira St. 19, 620002 Yekaterinburg, Russia
2
Department of Pharmacology and Bioinformatics, Volgograd State Medical University, Pavshikh Bortsov Sq. 1, 400131 Volgograd, Russia
*
Author to whom correspondence should be addressed.
Molecules 2022, 27(1), 274; https://doi.org/10.3390/molecules27010274
Submission received: 2 December 2021 / Revised: 27 December 2021 / Accepted: 29 December 2021 / Published: 2 January 2022
(This article belongs to the Section Medicinal Chemistry)

Abstract

:
Hypercytokinemia, or cytokine storm, is one of the severe complications of viral and bacterial infections, involving the release of abnormal amounts of cytokines, resulting in a massive inflammatory response. Cytokine storm is associated with COVID-19 and sepsis high mortality rate by developing epithelial dysfunction and coagulopathy, leading to thromboembolism and multiple organ dysfunction syndrome. Anticoagulant therapy is an important tactic to prevent thrombosis in sepsis and COVID-19, but recent data show the incompatibility of modern direct oral anticoagulants and antiviral agents. It seems relevant to develop dual-action drugs with antiviral and anticoagulant properties. At the same time, it was shown that azolo[1,5-a]pyrimidines are heterocycles with a broad spectrum of antiviral activity. We have synthesized a new family of azolo[1,5-a]pyrimidines and their condensed polycyclic analogs by cyclocondensation reactions and direct CH-functionalization and studied their anticoagulant properties. Five compounds among 1,2,4-triazolo[1,5-a]pyrimidin-7-ones and 5-alkyl-1,3,4-thiadiazolo[3,2-a]purin-8-ones demonstrated higher anticoagulant activity than the reference drug, dabigatran etexilate. Antithrombin activity of most active compounds was confirmed using lipopolysaccharide (LPS)-treated blood to mimic the conditions of cytokine release syndrome. The studied compounds affected only the thrombin time value, reliably increasing it 6.5–15.2 times as compared to LPS-treated blood.

1. Introduction

Hypercytokinemia, or cytokine storm, is one of the severe complications of viral and bacterial infections, including COVID-19 caused by SARS-CoV-2. Activation of immune cells leads to damage of the endothelium of pulmonary vessels and, consequently, disrupts its protective functions, namely decreases the release of nitric oxide and PGI2, which suppress the activation and adhesion of leukocytes. Thrombin generation leads to the formation of fibrin, activation of platelets and endothelial cells through PAR-1 receptors, and increased production of von Willebrand factor (VWF); aggravates inflammation, causing activation of P-selectin; and activates leukocytes and smooth endothelial muscles, releasing multiple cytokines [1]. As a result, systemic endothelial dysfunction and sepsis-induced coagulopathy are associated with an increased risk of death, due to venous (about 70% of patients in critical condition) or arterial thromboembolic events, and, much less often, to hemorrhagic complications [2,3,4]. Disseminated intravascular coagulation (DIC) and systemic disorders lead to multiple organ failure, a characteristic of severe COVID-19. Anticoagulants hold one of the central positions among the means to prevent thrombosis in these conditions [5]. However, the use of currently available direct anticoagulants in COVID-19 is limited due to safety issues [6]. Therefore, the search for and development of novel pharmacological agents that reduce the thrombogenic potential of blood via coagulation and platelet activation management remain important and urgent tasks. Drugs that combine anticoagulant, antiviral, and/or antibacterial activity to reduce the risk of sepsis-induced coagulopathy and arterial thromboembolism are of special interest. At the same time, heterocyclic derivatives of the azoloazine nature and their condensed derivatives are known for their broad range of biological activity [7] (Figure 1). In particular, it was shown that these compounds have a pronounced protective effect against septic shock and influenza virus in vivo [7,8].
Consequently, we consider the study of azoloazine heterocycles as potential anticoagulant agents for the treatment of cytokine storm and, in particular, DIC promising and very relevant in the modern epidemic situation. Therefore, in the present paper, we propose a synthesis of the new derivatives of the azoloazine series: 6-ethoxycarbonyl- and 6-nitro-azolo[1,5-a]pyrimidines and 3-nitrobenzimidazo[1,2-a]pyrimidines and their structural analogs, polycyclic thiadiazolo[3,2-a]purines and benzimidazo[1,2-a]-1,2,3-triazolo[4,5-e]pyrimidines. The obtained compounds have been evaluated for their anticoagulant effect by in vitro/in vivo experiments. Additionally, the most important structural fragments responsible for this type of activity were identified based on iterative neural network pharmacophore analysis.

2. Results

2.1. Chemistry

It was shown previously that the nitro group plays an essential role in the azoloazine series for pronounced antiviral/antiseptic effect [7]. Considering this and structural similarity between nitro and ethoxycarbonyl fragments, we synthesized a series of a new azolo[1,5-a]pyrimidines 3a–l by the reaction of commercially available aminoazoles 1a–h and carbonyl-containing synthetic equivalents (e.g., diethyl ethoxymethylenemalonate 2a and ethyl ethoxymethylenenitroacetate 2b). A cyclocondensation of 3-R-5-amino-1,2,4-triazoles 1a–f with diethyl ethoxymethylenemalonate 2a was carried out at the reflux for 4 h in glacial acetic acid to form the target 6-ethoxycarbonyltriazolo[1,5-a]pyrimidines 3a–f with excellent yields (75–85%). (Scheme 1).
On the contrary, the condensation of aminoazoles 1a–h with ethyl ethoxymethylenenitroacetate 2b in similar conditions leads to acylation products of the starting aminoazoles 1a–h. At the same time, the desired 6-nitroazolo[1,5-a]pyrimidines 3g–l were obtained with good yields (60–75%) when using an equimolar pyridine/acetic acid mixture as solvent (Scheme 2). It should be noted that the corresponding products 3h–l were isolated as pyridinium salts, except for compound 3g. This can be explained by the fact that 6-nitroazolo[1,5-a]pyrimidines are strong NH acids due to the electron-withdrawing effect of the nitrogroup on the heterocyclic system, while 2-(pyridin-3-yl)-6-nitrotriazolo[1,5-a]pyrimidine 3g can exist as a zwitterion with minus charge at pyrimidine-nitrogen and plus charge at pyridine-nitrogen atoms.
An analog of azolopyrimidine 3k with C5-methyl substituent was obtained by a two-step procedure. Initially, condensation of aminoazole 1e with ethyl acetoacetate was carried out to form triazolopyrimidine 4 with good yield (80%). The following nitration of derivative 4 by nitric and sulfuric acids mixture led to the target dinitrotriazolo[1,5-a]pyrimidine 3m (Scheme 3).
Different salts of 2-(fur-2-yl)-6-nitrotriazolo[1,5-a]pyrimidin-7-one 3n–q were obtained on the basis of heterocycle 3i to establish the effect of the cation on anticoagulant activity and improve solubility in aqueous media (Scheme 4).
In addition to azolo[1,5-a]pyrimidines 3a–q, some condensed polycyclic systems were obtained. First of all, 5-alkylthiadiazolo[3,2-a]purines 6a–c were synthesized starting from 5-alkylamino-6-nitrothiadiazolo[3,2-a]pyrimidin-7-ones 5a–c by one-pot reduction of the nitro group and subsequent annulation of the imidazole fragment in the Fe-AcOH-HC(OEt)3 system (Scheme 5).
In addition, 3-Nitrobenzimidazo[1,2-a]pyrimidin-4(10H)-one 8 as structural analog of corresponding 6-nitroazolopyrimidine 3n was obtained by a similar procedure, starting from aminobenzimidazole 7 (Scheme 6).
Finally, a pathway to C4-modified benzo[4,5]imidazo[1,2-a][1,2,3]triazolo[4,5-e]pyrimidines 13a–e, 14a was revealed by means of CH functionalization. It was found that the reaction of benzimidazoazapurines 10a,b with C-nucleophiles in CF3COOH proceeded smoothly with the formation of stable σH-adducts 11a–e, 12b as trifluoroacetates.
The following oxidation by K3[Fe(CN)6] (2 equiv.) in the basic solution of KOH (2 equiv.) led to the formation of SNH (nucleophilic substitution of hydrogen) products 13a–e, 14b with good yields (59–67%) (Scheme 7).
The purity and structure of all heterocycles were established by IR, 1H and 13C NMR, and elemental analysis (see Supplementary Materials).

2.2. Anticoagulant Activity of the Target Compounds In Vitro

Firstly, we studied direct oral anticoagulant drugs used in clinical practice—thrombin (IIa factor) inhibitor dabigatran etexilate (Boehringer Ingelheim Pharma GmbH and Co., Ingelheim am Rhein, Germany) and Xa factor inhibitor apixaban (Bristol Myers Squibb Manufacturing Company, Manati, Puerto Rico). The effect on coagulogram parameters was determined with in vitro experiments. We observed that dabigatran etexilate and apixaban at a concentration of 100 μM significantly increased the activated partial thromboplastin time (APTT) by 1.7 and 2.9 times relative to control, respectively (Table 1). Dabigatran etexilate in the studied concentration increased thrombin time (TT) by 6.3 times, which corresponds to the mechanism of its anticoagulant action—a disruption of the final stage of coagulation, while slightly increasing prothrombin time. Another anticoagulant drug apixaban increased prothrombin time (PT) by 4.6 times, which reflects the external activation pathway of the blood coagulation system and also indicates anticoagulant activity.
The study of the target azolo[1,5-a]pyrimidine derivatives and their condensed analogs was performed analogously, as an influence on the parameters of coagulogram of rabbit blood. The results are summarized in Table 1. It was shown that compound 3n has the greatest ability to prolong thrombin time, exceeding the comparison drug dabigatran etexilate by 2.1 times. Compounds 3a and 3m were 1.9 times superior to dabigatran etexilate; 3k was superior by 1.6 times. Compound 6c was comparable in activity to dabigatran etexilate. Other substances also significantly prolonged thrombin time relative to control, but to a lesser extent than the comparison drug. None of the studied compounds affected the prothrombin time, unlike apixaban.
In order to expand the understanding of the possibility of using the most active substance 3n as a drug substance, an in silico assessment of its main pharmacokinetic parameters was carried out. The values of intestinal absorption (IA), volume of distribution (VD), and total clearance (Cl) were found using the pkCSM online resource [9]. The half-life t1/2 was determined using the ADMET utility of IT Microcosm system [8]. The following values of the indicated pharmacokinetic parameters were obtained: IA = 90.0%; VD = 0.106 L/kg; Cl = 4.539 mL/min/kg; t1/2 = 8–9 h.

2.3. Iterative Neural Network Pharmacophore Analysis

To identify the pharmacophore, an integral structural fragment that provides a high level of FIIa (thrombin serine proteases) inhibitory activity of the tested compounds, an iterative pharmacophore analysis was carried out using artificial neural networks, implemented according to the following scheme:
I.
Preprocessing of the source data.
Structures of all tested compounds (3a–14a) (Table 1) were characterized with a matrix of QL descriptors of the 2nd rank of the 5th type using the IT Microcosm system [8]. This type of QL descriptor contains designations of two simple fragments of the structure of the compound (structural descriptors), which, due to electron donor or electron acceptor properties, can ensure the interaction of the molecule with the biological target; an example is the descriptor {NH2… > NH}. Paths between two structural descriptors can only pass through carbon chains. Based on the obtained QL descriptor matrix, with the addition of experimental values of FIIa inhibitory activity (TT values from Table 1), an initial training sample was formed, which was then used in the neural network modeling procedure.
II.
Iterative neural network modeling.
Per Kolmogorov’s theorem [10] using a two-layer artificial neural network, a dependence of any complexity can be approximated, and it was necessary to ensure that signals from many input neurons were convoluted into a small number of intermediate images. Therefore, in the present work, the architecture of a two-layer perceptron with a narrow throat MLP k-m-1 was used in neural network modeling of regression dependence, where the number of input neurons k >> m of the number of hidden neurons. Calculations were performed using the Statistica package [11]. Iterative training of networks with selection of sensitive neurons was performed according to the following algorithm:
  • In the standard mode of the Statistica program, the initial dataset was divided into training, test, and validation sets in a 70/15/15% ratio. A total of 100 networks were trained with the automatic selection of 25 neural networks with high values of correlation coefficients.
  • Out of 25 optimal neural networks one best performing network was picked manually according to the set of three values of the correlation coefficients.
  • For the selected best neural network, sensitivity analysis of the input neurons was performed. The dimensionless sensitivity index Sens was calculated, which reflects the relative contribution of each neuron to the formation of the final signal of the output neuron.
  • If during sensitivity analysis neurons with Sens < 1.0 were found, they were removed from the initial training sample, and iterative neural network modeling was carried out, starting from step 1 of this scheme.
  • Otherwise, the process of iterative training of networks was completed, and for the best neural network, the overall accuracy of the prediction was assessed on the complete data set.
  • In the best neural network, the most sensitive input neurons with Sens ≥ 1.1 were identified, which corresponds to the QL descriptors most significantly affecting the level of FIIa-inhibitory activity of the studied compounds.
III.
Post-processing of the data obtained.
  • Superposition of the significant QL descriptors found in stage II derive the pharmacophore, which provides a high level of FIIa-inhibitory activity of the tested compounds.
  • Analysis of entry of the constructed pharmacophore into the structure of the most active compounds was performed.
The best performing neural network was obtained after seven iterations, during which a total of about 1000 neural networks were trained and analyzed. The main characteristics of the results of each iteration are shown in Table 2.
For the best neural network model obtained as a result of the seventh iteration, the correlation coefficient on the combined dataset was R = 0.853 (p < 5 × 10−7).
Five types of QL descriptors that correspond to neurons with Sens ≥ 1.1 and significantly affect the level of FIIa-inhibitory activity of new compounds were elucidated: {-N= … =O}, Sens = 1.22; {-N= … CycAr06}, Sens = 1.27; {-N= … CycAr05}, Sens = 1.23; {-N< … =O}, Sens = 1.10; {-CH3 … >C(<)}, Sens = 1.10. The combination of these binding points forms a pharmacophore that provides a high level of FIIa-inhibitory activity of the tested compounds (Figure 2).
Incorporation of the constructed pharmacophore into the structures of the three most active compounds and dabigatran etexilate is shown in Table 3.
The structure of compound 3a includes a complete pharmacophore of nine entries of five types of QL descriptors of a high level of FIIa-inhibitory activity, compound 3m contains seven entries of four types of QL descriptors of this pharmacophore, and in the structure of the compound 3n, only six entries of three types of QL descriptors are present.
The structure of dabigatran also includes a complete pharmacophore with 18 entries of five types of QL descriptors of a high level of FIIa-inhibitory activity, and almost all of the found pharmacophore fragments occur in its molecule several times.
It is advisable to use the obtained data for the directed modification of the structure of the leading compounds in order to increase their activity. For example, the structure of dabigatran includes the pharmacophore fragment {CH3 … > C (<)}, which is absent in the structure of compound 3n. Thus, it should be expected that the introduction of a sufficiently long aliphatic substituent (n-propyl, n-butyl, etc.) into the 3n structure will lead to an increase in the anticoagulant activity of the modified compound.

2.4. Anticoagulant Activity after LPS Treatment

Sepsis is known as one of the severe complications of various microbial and viral infections, including COVID-19 caused by SARS-CoV-2, characterized by thromboinflammation [1]. Normally, this so-called immunocoagulation is a part of innate immunity and can serve as the first line of defense against infection. It is known that coagulation can be activated by external and internal pathways, resulting in fibrin formation. Preclinical and clinical studies have confirmed the pathological role of tissue factor, the initiator of the external pathway, in the development of endotoxemia [12,13]. It has been experimentally shown that exogenous lipopolysaccharide (LPS) can cause the expression and release of tissue factor on the surface of cells and lead to septic death of mice [14,15]. In addition, hypercytokinemia, which is observed during sepsis, causes not only activation of clotting factors, but also suppresses anticoagulant pathways, for example, the antithrombin system, activated protein C, and tissue factor inhibitor, thereby leading to DIC syndrome and fibrin deposition in blood vessels and tissues [16].
In this regard, compounds 3a, 3k, 3m, 3n, which demonstrated the greatest antithrombin activity in the in vitro experiment, were investigated further for their effect on the parameters of coagulogram of rabbit blood treated with LPS to mimic conditions of hypercytokinemia (Table 4). Coagulation parameters of LPS-treated blood did not change, except for APTT, which was significantly lengthened by 1.2 times compared to the intact blood sample. At the same time, the reference drugs dabigatran etexilate and apixaban reliably prolonged APTT by 2.6 and 2.8 times, respectively. In addition, treatment with dabigatran etexilate significantly increased thrombin time by 1.8 times, and treatment with apixaban by 1.4 times. The studied compounds had a significant effect only on the thrombin time, reliably exceeding the control values of LPS-treated blood by 6.5–15.2 times.
As compounds 3a and 3n showed the greatest anticoagulant effect on LPS-treated blood, we determined their half-maximum effective concentrations (IC50) on intact and LPS-treated blood. As shown in Table 5, the potency of compounds 3a and 3n as the effect on thrombin time of intact blood exceeds the comparison drug by 1.8 and 1.6 times, respectively.

2.5. An Animal Study of Anticoagulant Activity

Compounds 3a and 3n, which demonstrated in vitro activity comparable to the reference drug dabigatran etexilate in the blood of intact animals both under conditions of hypercytokinemia and without, were studied in in vivo experiments on rats in doses equimolar to the dabigatran etexilate after a single intragastric administration. Parameters of the obtained coagulograms in experiments using animals blood at various time points are presented in Table 6.
We observed that compound 3a did not affect the thrombin time 1, 2, and 4 h after intragastral administration. However, compound 3n reliably prolonged this parameter by 1.4 times after 4 h only.
In addition, the efficiency of these compounds was investigated using thromboelastography analysis, and the results are shown in Table 7.
The reference drug dabigatran etexilate prolonged the time to the first evidence of clot formation by 3.6 times, increased the K value by 6.7 times, reduced the rate of clot formation by 4.4 times, and also reduced the maximum strength of the clot by 1.8 times relative to control values. Compounds 3a and 3n in doses equimolar to dabigatran during 4 h of observation did not have a significant effect on the time of formation of the first filaments of fibrin, the rate of clot formation, or the maximum amplitude. Compound 3n 4 h after administration significantly increased the time from the beginning of clot formation until it reached an amplitude of 20 mm.
As the next step of the study, the ability of compounds 3a and 3n to affect coagulogram parameters in rats was assessed at 2× and 4× increased dose (of the dose equimolar to dabigatran etexilate), and results are shown in Table 8.
With a dose of 3n increased by two times (11.6 mg/kg), a significant prolongation of thrombin time was observed 1, 2, and 4 h after intragastric administration. A further 3n dose increase to 23.2 mg/kg resulted in the highest anticoagulant activity, comparable to 12 mg/kg dabigatran in terms of thrombin time, while other parameters of the TEG remained unaffected. Compound 3a in a dose increased by two times did not affect any of the investigated parameters of the coagulogram.
Thromboelastography dose-elevating study of compound 3a showed that the compound did not affect the parameters of the thromboelastogram, which corresponds to the data obtained in the rat blood coagulogram study (Table 9).
Compound 3n in a dose 11.6 mg/kg (compared to the equimolar dose to dabigatran etexilate) showed the greatest activity 4 h after administration, as it prolonged the time to the first fibrin filaments formation by 1.9 times, increased the K value by 3.6 times, reduced the rate of clot formation by 2.5 times, and also reduced the maximum strength of the clot by 1.4 times relative to the control values.
With a further increase in the dose of the compound 3n to 23.2 mg/kg, an anticoagulant effect was reliably observed 1 h after intragastric administration. After 4 h, TEG showed a statistically significant 4.1 times reduced rate of clot formation and 1.9 times reduced clot strength, which is comparable to the effect of dabigatran etexilate.

2.6. Acute Toxicity

After intraperitoneal injection of compound 3N in doses of 200–500 mg/kg, no mortality was observed in rats within 72 h.

2.7. Tail Bleeding Time (TBT)

Due to the pronounced anticoagulant activity and low toxicity (<500 mg/kg), compound 3n was chosen to study its effect on bleeding time prolongation and was studied in a bleeding time model. As a result of this study test, the compound was shown to prolong bleeding time insignificantly compared to the control group and to be comparable to the reference drug dabigatran etexilate (Table 10).

3. Materials and Methods

3.1. Chemistry

Commercial reagents were obtained from Sigma-Aldrich, Acros Organics, or Alfa Aesar (Sigma-Aldrich, St Louis, MO, USA) and used without any further purification. All workup and purification procedures were carried out using analytical grade solvents. One-dimensional 1H and 13C NMR spectra were acquired on a Bruker DRX-400 instrument (Karlsruhe, Germany) (400 and 101 MHz, respectively), utilizing CDCl3 and DMSO-d6 as solvent and as an external reference. The following abbreviations are used for multiplicity of NMR signals: s—singlet, d—doublet, t—triplet, q—quartet, dd—double of doublets, m—multiplet, br—broaded. IR spectra were recorded on a Bruker Alpha spectrometer equipped with a ZnSe ATR accessory. Elemental analysis was performed on a PerkinElmer PE 2400 (Waltham, MA, USA) elemental analyzer. Melting points were determined on a Stuart SMP3 (Staffordshire, UK) and are uncorrected. The monitoring of the reaction progress was performed by using TLC on Sorbfil plates (Imid LTD, Russia, Krasnodar) eluent is CHCl3. Heterocycles 3b, 3d, 3e, 7, 10a, 10b were synthesized in accordance with literature data: 3b [17], 3d, 3e [18], 7 [19], 10a, 10b [20]. All synthesized compounds are >95% pure by elemental analysis.
General procedure for the synthesis of 2-R-6-ethoxycarbonyl-1,2,4-triazolo[1,5-a]pyrimidin-7-ones (3a, 3f).
A suspension of 0.0030 mol (1 equiv.) of the corresponding 3-R-5-amino-1,2,4-triazole 1a, 1f and 0.0032 mol (1.07 equiv.) of diethyl ethoxymethylenemalonate 2a in 6.0 mL of glacial AcOH was stirred at reflux (130 °C oil bath temperature) for 5 h. The reaction mixture was cooled to 25 °C, and the obtained precipitate was filtered off and washed with 10 mL of i-PrOH to give the analytical pure product.
2,6-Diethoxycarbonyl-1,2,4-triazolo[1,5-a]pyrimidin-7-one (3a): White powder (1.04 g, yield 75%), m.p. 266–267 °C. FT-IR (neat) νmax (cm−1): 1764 (C=O), 1732 (C=O), 1642 (C=O). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 1.29 (3H, t, J = 7.1 Hz, OCH2CH3), 1.34 (3H, t, J = 7.1 Hz, OCH2CH3), 4.26 (2H, q, J = 7.1 Hz, OCH2CH3), 4.39 (2H, q, J = 7.1 Hz, OCH2CH3), 8.72 (1H, s, H-2). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 14.0, 14.2, 60.5, 61.7, 102.9, 147.7, 150.9, 152.8, 153.6, 159.3, 162.9. Anal. Calcd. for C11H12N4O5: C 47.15, H 4.32, N 19.99; found: C 47.22, H 4.29, N 20.09.
2-(Thien-2-yl)-6-ethoxycarbonyl-1,2,4-triazolo[1,5-a]pyrimidin-7-one (3f): White powder (0.74 g, yield 85%), m.p. > 300 °C. FT-IR (neat) νmax (cm−1): 1739 (C=O), 1699 (C=O), 1630 (C=O). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 1.28 (3H, t, J = 7.2 Hz, OCH2CH3), 4.25 (2H, q, J = 7.2 Hz, OCH2CH3), 7.22 (1H, t, J = 4.0 Hz, H-4′), 7.74–7.80 (2H, m, H-3′, H-5′), 8.63 (1H, s, H-5). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 14.2, 60.2, 102.4, 128.1, 128.3, 129.1, 132.7, 147.9, 151.9, 153.0, 157.5, 163.3. Anal. Calcd. for C12H10N4O3S: C 49.65 H 3.47 N 19.30; found: C 49.37 H 3.48 N 19.34.
General procedure for the synthesis of 6-nitroazolo[1,5-a]pyrimidin-7-ones (3g–l): Ethyl ethoxymethylenenitroacetate 2b (0.01 mol, 1 equiv.) was added to a stirred solution of the corresponding 5-amino-1,2,4-triazole 1b, 1d–h or 3-phenyl-4-cyano-5-aminopyrazole 1g (0.01 mol, 1 equiv.) in a mixture of pyridine (8.5 mL) and glacial acetic acid (6.0 mL) and the resulting solution was stirred at reflux (145 °C oil bath temperature) for 6 h. The obtained precipitate was filtered off and washed with of EtOH.
2-(Pyridin-3-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one (3g): Pale yellow powder (1.81 g, yield 70%), m.p. > 300 °C. FT-IR (neat) νmax (cm−1): 1675 (C=O), 1583 (NO2), 1264 (NO2). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 7.48 (1H, dd, J = 8.0, 4.4 Hz, H-5′), 8.47 (1H, d, J = 8.0 Hz, H-4′), 8.61 (1H, d, J = 4.4 Hz, H-6′), 8.99 (1H, s, H-2′), 9.30 (1H, c, H-5). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 123.2, 123.9, 127.0, 134.0, 147.6, 150.7, 151.0, 153.5, 159.0, 160.1. Anal. Calcd. for C10H6N6O3: C 46.52, H 2.34, N 32.55; found: C 46.59, H 2.20, N 32.58.
Pyridinium 2-phenyl-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one (3h): Yellow powder (0.92 g, yield 70%), m.p. > 300 °C. FT-IR (neat) νmax (cm−1): 1680 (C=O), 1629 (NO2), 1280 (NO2). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 7.51 (3H, m, H-3′, H-4′, H-5′), 7.93 (2H, m, H-2′, H-6′), 8.13 (2H, d, J = 8.0 Hz, H-3′′, H-5′′), 8.43 (1H, m, H-4′′), 8.85 (2H, d, J = 5.6 Hz, H-2′′, H-6′′), 9.07 (1H, s, H-5). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 123.7, 126.5 (2C), 126.6 (2C), 128.8 (2C), 130.0, 130.6, 143.6 (2C), 144.5, 150.4, 152.0, 157.4, 161.5. Anal. Calcd. for C16H12N6O3: C 57.14, H 3.60, N 24.99; found: 57.01, H 3.85, N 24.80.
Pyridinium 2-(fur-2-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one (3i): Yellow powder (0.65 g, yield 60%), m.p. 225–226 °C. FT-IR (neat) νmax (cm−1): 1683 (C=O), 1616 (NO2), 1289 (NO2). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 6.63 (1H, dd, J = 3.6, 1.6 Hz, H-4′), 7.08 (1H, d, J = 3.6 Hz, H-3′), 7.78 (1H, d, J = 1.6 Hz, H-5′), 7.85 (2H, t, J = 6.8 Hz, H-3′′, H-5′′), 8.33 (1H, t, J = 6.8 Hz, H-4′′), 8.84 (2H, d, J = 4.8 Hz, H-2′′, H-6′′), 9.04 (1H, s, H-5). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 111.0, 111.9, 123.6, 126.7, 143.3, 143.4, 144.6, 144.8, 144.9, 146.1, 150.3, 152.3, 155.1, 157.4. Anal. Calcd. for C14H10N6O4: C 51.54, H 3.09, N 25.76; found: 51.48, H 3.10, N 25.80.
Pyridinium 2-(thien-2-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one (3j): Yellow powder (2.22 g, yield 65%), m.p. > 300 °C. FT-IR (neat) νmax (cm−1): 1670 (C=O), 1527 (NO2), 1280 (NO2). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 7.16 (1H, dd, J = 4.8, 4.8 Hz, H-4′), 7.58 (1H, d, J = 4.8 Hz, H-3′), 7.75 (1H, d, J = 4.8 Hz, H-5′), 7.83 (2H, m, H-3′′, H-5′′), 8.31 (1H, t, J = 8.0 Hz, H-4′′), 8.81 (2H, d, J = 5.6 Hz, H2′′, H-6′′), 9.05 (1H, s, H-5). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 123.6, 126.7 (2C), 127.4, 128.1, 128.4, 133.7, 143.5 (2C), 144.6, 150.3, 152.3, 157.5, 158.2. Anal. Calcd. for C14H10N6O3S: C 49.12, H 2.94, N 24.55; found: C 49.01, H 3.01, N 24.60.
Pyridinium 2-(5-nitrofur-2-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one (3k): Brown powder (1.39 g, yield 75%), m.p. 282–284 °C. FT-IR (neat) νmax (cm−1): 3046, 3138, 1693 (C=O), 1605 (NO2), 1540 (NO2), 1305 (NO2), 1335 (NO2). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 7.11 (1H, d, J = 3.2 Hz, H-4′), 7.85 (1H, d, J = 4.8 Hz, H-3′), 7.99 (2H, t, J = 6.4 Hz, H-3′′, H-5′′), 8.50 (1H, t, J = 8.0 Hz, H-4′′), 8.91 (2H, d, J = 4.8 Hz, H2′′, H-6′′), 9.07 (1H, s, H-5). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 114.0, 115.1, 124.1, 127.2, 143.9, 145.2, 148.9, 150.8, 152.3, 153.9, 154.0, 159.0. Anal. Calcd. for C14H9N7O6: C 45.29 H 2.44 N 26.41; found: C 45.45 H 2.45 N 26.59.
Pyridinium 2-phenyl-3-cyano-6-nitropyrazolo[1,5-a]pyrimidin-7-one (3l): Yellow crystals (1.30 g, yield 60%), m.p. 249–251 °C. FT-IR (neat) νmax (cm−1): 2217 (CN), 1675 (C=O), 1548 (NO2), 1282 (NO2). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 7.57 (3H, m, H-3′, H-4′, H-5′), 8.00 (4H, m, H-2′′, H3′′, H-5′′, H-6′′), 8.50 (1H, t, J = 8.0 Hz, H-4′′), 8.88 (2H, д, J = 6.0 Hz, H-2′, H-6′), 8.93 (1H, s, H-5). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 78.6, 114.9, 123.1, 126.7 (2C), 127.1 (2C), 129.0 (2C), 129.9, 131.0, 142.5 (2C), 146.0, 150.1, 151.5, 153.6, 155.4.Anal. Calcd. for C18H12N6O3: C 60.00, H 3.36, N 23.32; found: C 59.82, H 3.39, N 23.20.
2-(5-Nitrofur-2-yl)-5-methyl-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one (3m): First, 2.02 mL (0.016 mol, 1.23 equiv.) of ethyl acetoacetate was added to a suspension of 2.00 g (0.013 mol, 1 equiv.) of 3-(fur-2-yl)-5-amino-1,2,4-triazole 1e in 10 mL of glacial AcOH. The resulting mixture was stirred for 2.5 h at reflux (130 °C oil bath temperature). The reaction mixture was cooled to 25 °C, and the obtained precipitate was filtered off, washed with 10 mL of i-PrOH, and air dried to give 2.16 g of 4. This solid was dissolved in 20 mL of 94% H2SO4 at 25 °C. Then, 1.98 mL (0.031 mol) of 70% HNO3 was added to the resulting solution, maintaining the temperature of the reaction mixture at 5–10 °C. The reaction mixture was stirred for 3 h at 25 °C. The resulting mixture was poured into ice water. The solid product formed was collected by filtration and washed with H2O. Yellow powder (1.53 g, yield 50%), m.p. > 300 °C. FT-IR (neat) νmax (cm−1): 1729 (C=O), 1640 (NO2), 1346 (NO2), 1314 (NO2). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 2.58 (3H, s, CH3) 7.47 (1H, d, J = 4.0 Hz, H-3), 7.75 (1H, d, J = 4.0 Hz, H-4′). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 18.3, 114.4, 114.8, 127.8, 146.6, 149.4, 150.8, 152.2, 152.9, 153.3. Anal. Calcd. for C10H6N6O6*3H2O: C 33.34, H 3.36, N 23.33; found: C 33.44, H 3.42, N 23.14.
2-(Fur-2-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one sodium salt (3n): First, 6.55 g (0.020 mol, 1 equiv.) of pyridinium 2-(fur-2-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one 3i was added to the solution of 1.28 g (0.032 mol, 1.6 equiv.) of NaOH in 65 mL H2O. The resulting suspension was refluxed for 10 min and cooled to 25 °C. The solid product formed was collected by filtration and recrystallized from H2O. Yellow crystals (3.88 g, yield 60%), m.p. 259–261 oC. FT-IR (neat) νmax (cm−1): 3358 (H2O), 1661 (C=O), 1539 (NO2), 1256 (NO2). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 6.66 (1H, dd, H-4′), 7.10 (1H, d, H-3′), 7.83–7.89 (1H, br.m, H-5′), 9.01 (1H, s, H-5). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 110.9, 111.9, 123.2, 144.5, 146.4, 150.9, 153.5, 155.6, 158.7. Anal. Calcd. for C9H4N5O4Na*H2O: C 37.64 H 2.11 N 24.39; found: C 37.73 H 2.09 N 24.42.
2-(Fur-2-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one ammonium salt (3o): A mixture of 1.00 g (0.0031 mol) of 2-(fur-2-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one pyridinium 3i and 10 mL of 25% ammonia aqueous solution was refluxed for 1 h. The reaction mixture was cooled to 25 °C. The formed solid product was collected by filtration and washed with of H2O. Gray powder (0.49 g, yield 60%), m.p. > 300 °C. FT-IR (neat) νmax (cm−1): 3181 (NH4), 1667 (C=O), 1536 (NO2), 1250 (NO2). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 6.63–6.69 (1H, m, H-4′), 7.05–7.11 (1H, m, H-3′), 7.15 (4H, t, NH4), 7.86 (1H, s, H-5′), 9.01 (1H, s, H-5). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 110.8, 111.9, 123.2, 144.5, 146.5, 150.8, 153.5, 155.5, 158.7. Anal. Calcd. for C9H8N6O: C 40.91, H 3.05, N 31.81; found: C 41.00, H 3.10, N 31.99.
2-(Fur-2-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one morpholinic salt (3p): A suspension of 0.67 g (0.0021 mol, 1 equiv.) of 2-(fur-2-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one pyridinium 3i in 5 mL H2O was acidified with 37% HCl to pH ~1. The formed precipitate was collected by filtration, washed with H2O, and air dried. The resulting solid was suspended in 8 mL of H2O, and 0.18 mL (0.0021 mol, 1 equiv.) of morpholine was added. The resulting mixture was heated until a clear solution was formed. The reaction mixture was cooled to 25 °C. The solid product formed was collected by filtration and washed with EtOH. Yellow powder (0.35 g, yield 65%), m.p. 204–205 oC. FT-IR (neat) νmax (cm−1): 3408 (NH2), 1670 (C=O), 1534 (NO2), 1244 (NO2). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 3.13 (4H, m, 2хCH2), 3.75 (4H, m, 2хCH2), 6.63-6.69 (1H, m, H-4′), 7.05-7.11 (1H, m, H-3′), 7.86 (1H, s, H-5′), 8.71 (2H, br. s, NH2), 9.01 (1H, s, H-5). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 43.0, 63.3, 110.8, 111.9, 123.2, 144.4, 146.5, 150.7, 153.4, 155.4, 158.7. Anal. Calcd. for C13H14N6O5: C 46.71, H 4.22, N 25.14; found: C 46.95, H 4.11, N 25.30.
2-(Fur-2-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one l-argininium salt (3q): A suspension of 0.67 g (0.0021 mol, 1 equiv.) of 2-(fur-2-yl)-6-nitro-1,2,4-triazolo[1,5-a]pyrimidin-7-one pyridinium 3i in 5 mL H2O was acidified with 37% HCl to pH ~1.The formed precipitate was collected by filtration, washed with H2O, and air dried. The resulting solid was added to a solution of 0.36 g (0.0021 mol, 1 equiv.) l-arginine in 5 mL of H2O. The resulting mixture was heated until a clear solution was formed. The reaction mixture was cooled to 25 °C. The solid product was collected by filtration and washed with EtOH. Yellow powder (0.57 g, yield 65%), m.p. 229–230 °C. FT-IR (neat) νmax (cm−1): 3107 (NH2), 1664 (C=O), 1619 (C=O), 1534 (NO2), 1247 (NO2). 1H NMR (400 MHz, DMSO-d6) δ (ppm) 1.46–1.71 (4H, br. m, 2×CH2), 1.70–1.83 (1H, br.m, CH), 3.10 (2H, br.m, CH2), 3.34 (2H, br.m, NH2), 6.62-6.70 (1H, m, H-4′), 7.07 (1H, d, J = 3. Hz, H-3′), 7.53 (5H, br. s, NH, 2×NH2), 7.86 (1H, s, H-5′), 9.00 (1H, s, H-5). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 24.8, 28.2, 53.6, 110.7, 111.9, 123.2, 144.4, 146.5, 150.7, 153.4, 155.4, 157.2, 158.7, 172.42. Anal. Calcd. for C15H19N9O6: C 42.76, H 4.54, N 29.92; found: C 42.90, H 4.33, N 29.99.
General procedure for the synthesis of 3-R-[1,3,4]thiadiazolo[3,2-a]purin-9(3H)-one (6a-c): Fe dust (5.6 g; 0.1 mol, 10 equiv.) was added to a stirred solution of the corresponding 5-alkylamino-6-nitro-[1,3,4]thiadiazolo[3,2-a]pyrimidin-7-one (0.01 mol, 1 equiv.) 5a-c in a mixture of 45 mL of glacial AcOH and 45 mL of triethyl orthoformate. The mixture was stirred at reflux (145 °C oil bath temperature) for 7 h. The reaction mixture was cooled to 25 °C and filtered. The filtrate was evaporated to dryness at 45 °C in a vacuum, and 100 mL of H2O was added to the residue. The precipitate formed was filtered off and air dried.
3-(4-Hydroxyphenylethyl)-[1,3,4]thiadiazolo[3,2-a]purin-8-one (6a): Yellow powder (2.50 g, yield 80%), m.p. 234–235 °C. FT-IR (neat) νmax (cm−1): 3100, 2743, 1689, 1504, 1376, 1281. 1H NMR (400 MHz, DMSO-d6) δ (ppm) 3.00 (2H, t, J = 7.2 Hz, NCH2CH2), 4.33 (2H, t, J = 7.2 Hz, NCH2CH2), 6.62 (2H, d, J = 8.0 Hz, H-3′, H-5′), 6.91 (2H, d, J = 8.0 Hz, H-2′, H-6′), 7.80 (1H, s, H-6), 9.23 (1H, s, H-2), 11.77 (1H, s, OH). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 34.4, 45.0, 115.2 (2C), 119.8, 127.7, 129.6 (2C), 140.9, 147.1, 147.9, 152.2, 156.0, 157.7. Anal. Calcd. for C14H11N5O2S: C 53.67, H 3.54, N 22.35; found: C 53.65, H 3.61, N 22.22.
3-(Cyclopropyl)-[1,3,4]thiadiazolo[3,2-a]purin-8-one (6b): White powder (2.50 g, yield 80%), m.p. 272–274 °C. FT-IR (neat) νmax (cm−1): 3077, 1709, 1531, 1488, 1315, 1233. 1H NMR (400 MHz, DMSO-d6) δ (ppm) 1.13 (4H, d, J = 4.0 Hz, (CH2)2), 3.45-3.51 (1H, m, NCH), 8.00 (1H, s, H-6), 9.24 (1H, s, H-2). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 5.4, 25.3, 120.0, 140.5, 146.7, 149.0, 151.9, 157.4. Anal. Calcd. for C9H7N5OS: C 46.34, H 3.03, N 30.03; found: C 46.29, H 2.98, N 30.19.
5-[4-(Diethoxymethyloxy)butyl]thiadiazolo[3,2-a]purin-8-one (6c): White powder (2.57 g, yield 70%), m.p. 145–147 °C. FT-IR (neat) νmax (cm−1): 3056, 1705, 1534, 1491, 1367, 1180. 1H NMR (400 MHz, DMSO-d6) δ (ppm) 1.08 (6H, t, J = 8.0 Hz, 2xCH3), 1.46–1.52 (2H, m, CH2), 1.83–1.89 (2H, m, CH2), 3.43–3.49 (6H, m, 3×OCH2), 4.18 (2H, t, J = 8.0 Hz, NCH2), 5.10 (1H, s, OCH), 8.16 (1H, s, H-6), 9.26 (1H, s, H-2). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 14.9 (2C), 26.1, 26.4, 43.2, 58.9, 62.5, 111.9, 119.9, 140.9, 147.1, 148.0, 152.1, 157.6. Anal. Calcd. for C15H21N5O4S: C 49.03 H 5.76 N 19.06; found: C 49.04 H 5.70 N 19.00.
3-Nitrobenz[4,5]imidazo[1,2-a]pyrimidin-4(1H)-one sodium salt (9): First, 1.15 g (0.005 mol, 1 equiv.) of 3-nitrobenz[4,5]imidazo[1,2-a]pyrimidin-4(1H)-one 8 was added to a stirred solution of the 0.20 g (0.005 mol, 1 equiv.) of NaOH in 20 mL of H2O. The resulting mixture was heated until a clear solution was formed. The reaction mixture was cooled to 25 °C. The solid product formed was collected by filtration and washed with EtOH. Yellow powder (1.01 g, yield 80%), m.p. > 300 °C. FT-IR (neat) νmax (cm−1): 3109, 1692, 1611, 1547, 1450, 1297. 1H NMR (400 MHz, DMSO-d6) δ (ppm) 7.23 (1H, d, J = 7.6 Hz, H-7), 7.35 (1H, t, J = 7.7 Hz, H-8), 7.61 (1H, t, J = 8.0 Hz, H-6), 8.42 (1H, t, J = 8.1 Hz, H-9), 9.05 (1H, s, H-2). 13C{1H} NMR (100 MHz, DMSO-d6) δ (ppm) 115.2, 118.0, 120.8 120.9, 124.2, 129.8, 143.5, 154.2, 154.35, 154.43. Anal. Calcd. for C10H5N4NaO3: C 47.63, H 2.00, N 22.22; found: C 47.65, H 1.98, N 22.19.
General procedure for the synthesis of 2-(p-tolyl)-4-(R)-2H-benz[4,5]imidazo[1,2-a][1,2,3] triazolo[4,5-e]pyrimidines (13a–e, 14a): To a stirred solution of 0.30 g (0.001 mol, 1 equiv.) of 2-(p-tolyl)-2H-benz[4,5]imidazo[1,2-a][1,2,3]triazolo[4,5-e]pyrimidine 10a, 10b in 5 mL of CF3COOH, the corresponding nucleophilic agent 0.001 mol (1 equiv.) NuH was added. The resulting solution was stirred at 25 °C for 5 h. The reaction mixture was concentrated under reduced pressure, 10 mL of 1,4-dioxane was added to the residue, and then a solution of 0.66 g (0.002 mol) of K3[Fe (CN)6] and 0.11 g (0.002 mol, 2 0.001 mol (1 equiv.) of KOH in 20 mL H2O was added. The resulting mixture was stirred for 5 h at 25 °C and extracted with CHCl3 (2 × 20 mL). The combined organic layer was dried over anhydrous Na2SO4 and concentrated under reduced pressure. The residue was purified by column chromatography on silica gel 60 using CHCl3 as eluent to give the corresponding pure product.
2-(p-Tolyl)-4-(2,3,4-trimethoxyphenyl)-2H-benz[4,5]imidazo[1,2-a][1,2,3]triazolo[4,5-e]pyrimidine (13a): Yellow powder (0.27 g, yield 57%), m.p. 226–228 °C. FT-IR (neat) νmax (cm−1): 2935, 1631, 1593, 1479, 1292, 1094. 1H NMR (400 MHz, CDCl3) δ (ppm) 2.44 (3H, s, CH3), 3.95 (3H, s, OCH3), 3.99 (3H, s, OCH3), 4.13 (3H, s, OCH3), 6.89 (1H, d, J = 8.8 Hz, H-5′), 7.34 (2H, d, J = 8.3 Hz, H-3′′, H-5′′), 7.54–7.59 (2H, m, H-8, H-9), 7.74 (1H, d, J = 8.8 Hz, H-6′), 8.02–8.10 (1H, m, H-10), 8.18 (2H, d, J = 8.2 Hz, H-2′′, H-6′′), 8.32–8.39 (1H, m, H-7). 13C{1H} NMR (100 MHz, CDCl3) δ (ppm) 21.3, 56.3, 61.0, 62.4, 107.4, 113.2, 119.9 (2C), 120.9, 122.8, 124.0, 125.3, 126.9, 127.9, 130.3 (2C), 130.9, 137.5, 139.8, 142.7, 144.0, 145.8, 150.3 153.5, 156.2, 156.7. Anal. Calcd. for C26H22N6O3: C 66.94, H 4.75, N 18.02; found: C 67.15, H 4.83, N 17.86.
2-(p-Tolyl)-4-(3,4-trimethoxyphenyl)-2H-benz[4,5]imidazo[1,2-a][1,2,3]triazolo[4,5-e]pyrimidine (13b): Yellow powder (0.27 g, yield 62%), m.p. 257–259 °C. FT-IR (neat) νmax (cm−1): 2933, 1678, 1631, 1598, 1482, 1271. 1H NMR (400 MHz, CDCl3) δ (ppm) 2.44 (3H, s, CH3), 3.97 (3H, s, OCH3), 4.03 (3H, s, OCH3), 6.97 (1H, d, J = 8.5 Hz, H-5′), 7.33 (2H, d, J = 8.3 Hz, H-3′′, H-5′′), 7.47-7.55 (2H, m, H-8, H-9), 7.98 (1H, d, J = 7.7 Hz, H-10), 8.16 (2H, d, J = 8.0 Hz, H-2′′, H-6′′), 8.25 (1H, d, J = 7.6 Hz, H-7), 8.39 (1H, s, H-2′), 8.66 (1H, d, J = 8.4 Hz, H-2′). 13C{1H} NMR (100 MHz, CDCl3) δ (ppm) 21.3, 56.0, 56.1, 110.6, 111.0, 113.0, 119.5 (2C), 120.4, 123.7, 124.9, 125.3, 127.4, 127.8, 129.5, 130.2 (2C), 137.0, 139.8, 143.7, 146.9, 149.3, 149.9, 153.1, 153.7. Anal. Calcd. for C25H20N6O2: C 68.80, H 4.62, N 19.25; found: C 68.96, H 4.63, N 19.12.
2-(p-Tolyl)-4-(thien-2-yl)-2H-benz[4,5]imidazo[1,2-a][1,2,3]triazolo[4,5-e]pyrimidine (13c): Orange powder (0.25 g, yield 65%), m.p. > 300 °C. FT-IR (neat) νmax (cm−1): 3045, 1694, 1628, 1539, 1407, 1344. 1H NMR (400 MHz, CDCl3) δ (ppm) 2.48 (3H, s, CH3), 7.31 (1H, dd, J = 5.0, 3.8 Hz, H-3′), 7.39 (2H, d, J = 8.2 Hz, H-3′′, H-5′′), 7.50–7.58 (2H, m, H-8, H-9), 7.74 (1H, dd, J = 5.0, 1.2 Hz, H-4′), 7.99–8.04 (1H, m, H-10), 8.25 (2H, d, J = 8.4 Hz, H-2′′, H-6′′), 8.29–8.33 (1H, m, H-7), 8.77 (1H, dd, J = 3.8, 1.2 Hz, H-2′). 13C{1H} NMR (100 MHz, CDCl3) δ (ppm) 21.4, 113.0, 119.8 (2C), 120.8, 123.9, 125.4, 128.1, 128.6, 128.9, 130.3 (2C), 133.5, 134.0, 137.2, 140.0, 140.1, 144.1, 145.9, 149.7, 150.0. Anal. Calcd. for C21H14N6S: C 65.95, H 3.69, N 21.97; found: C 65.86, H 3.63, N 22.05.
2-(p-Tolyl)-4-(1-Methyl-1H-pyrrol-2-yl)-2H-benz[4,5]imidazo[1,2-a][1,2,3]triazolo[4,5-e]pyrimidine (13d): Yellow powder (0.22 g, yield 59%), m.p. > 300 °C. FT-IR (neat) νmax (cm−1): 3080, 1626, 1548, 1437, 1405, 1219. 1H NMR (400 MHz, CDCl3) δ (ppm) 2.46 (3H, s, CH3), 4.36 (3H, s, NCH3), 6.36 (1H, dd, J = 4.0, 2.4 Hz, H-4′), 7,01 (1H, d, J = 2.4 Hz, H-3′), 7.36 (2H, d, J = 8.2 Hz, H-3′′, H-5′′), 7.45–7.54 (2H, m, H-8, H-9), 7.94 (1H, d, J = 7.5 Hz, H-10), 8.08 (1H, d, J = 1.7 Hz, H-5′), 8.21 (2H, d, J = 8.5 Hz, H-2′′, H-6′′), 8.25 (1H, d, J = 7.7 Hz, H-7). 13C{1H} NMR (100 MHz, CDCl3) δ (ppm) 21.3, 39.6, 109.9, 112.8, 119.7 (2C), 120.0, 122.2, 123.4, 125.2, 126.9, 128.0, 129.1, 130.2 (2C), 132.7, 137.3, 139.7, 143.5, 145.7, 148.0, 150.2. Anal. Calcd. for C22H17N7: C 69.64, H 4.52, N 25.84; found: C 69.53, H 4.59, N 25.76.
2-(p-Tolyl)-4-(1-naphthalene-2-ol)-2H-benz[4,5]imidazo[1,2-a][1,2,3]triazolo[4,5-e]pyrimidine (13e): Orange powder (0.29 g, yield 67%), m.p. > 300 °C. FT-IR (neat) νmax (cm−1): 3041, 2951, 1623, 1433, 1339, 1274. 1H NMR (400 MHz, CDCl3) δ (ppm) 2.35 (3H, s, CH3), 7.20–7.39 (6H, m), 7.47–7.53 (2H, m, H-8, H-9), 7.77 (1H, d, J = 6.9 Hz, H-10), 7.88 (1H, d, J = 9.0 Hz, H-3′), 7.92–8.00 (3H, m), 8.24–8.32 (1H, m, H-7), 11.79 (1H, s, OH). 13C{1H} NMR (100 MHz, CDCl3) δ (ppm) 21.4, 112.3, 113.3, 119.8, 120.0 (2C), 120.8, 124.3, 124.4, 125.8, 126.2, 126.5, 128.0, 128.4, 129.1, 130.3, 130.4 (2C), 132.0, 135.1, 137.2, 140.3, 143.8, 146.2, 148.7, 158.7. Anal. Calcd. for C27H18N6O: C 73.29, H 4.10, N 18.99; found: C 73.35, H 4.16, N 18.82.
8,9-Difluor-2-(p-Tolyl)-4-(2,3,4-trimethoxyphenyl)-2H-benz[4,5]imidazo[1,2-a][1,2,3]triazolo[4,5-e]pyrimidine (14a): Yellow powder (0.32 g, yield 63%), m.p. 270–272 °C. FT-IR (neat) νmax (cm−1): 2947, 1644, 1596, 1509, 1289, 1100. 1H NMR (400 MHz, CDCl3) δ (ppm) 2.47 (3H, s, CH3), 3.95 (3H, s, OCH3), 4.00 (3H, s, OCH3), 4.13 (3H, s, OCH3), 6.89 (1H, d, J = 8.7 Hz, H-5′), 7.38 (2H, d, J = 8.2 Hz, H-3′′, H-5′′), 7.76 (1H, d, J = 8.7 Hz, H-6′), 7.87 (1H, t, J = 8.7 Hz, H-10), 8.15–8.24 (3H, m, H-7, H-2′′, H-6′′). 13C{1H} NMR (100 MHz, CDCl3) δ (ppm) 21.4, 56.3, 61.0, 62.3, 101.3 (d, J = 23.4 Hz), 107.4, 108.3 (d, J = 20.4 Hz), 119.9 (2C), 122.5, 123.0 (d, J = 11.2 Hz), 127.0, 130.4 (2C), 130.7, 137.3, 139.7 (d, J = 11.2 Hz), 140.1, 142.7, 145.3, 148.7 (dd, J = 245.7, 14.7 Hz), 149.8 (dd, J = 243.0, 12.6 Hz), 151.4, 153.5, 156.3, 157.0. Anal. Calcd. for C26H20F2N6O3: C 62.15, H 4.01, N 16.73; found: C 62.27, H 4.16, N 16.59.

3.2. Biology

3.2.1. Animals

All animal procedures were carried out under the generally accepted ethical standards for the manipulations on animals adopted by the European Convention for the Protection of Vertebrate Animals used for Experimental and Other Scientific Purposes (1986) and taking into account the International Recommendations of the European Convention for the Protection of Vertebrate Animals Used for Experimental Research (1997). The study was approved by the Local Ethics Committee of the Volgograd State Medical University (registration No. IRB 00005839 IORG 0004900, OHRP), Certificate No. 2021/056, 15 June 2021. All sections of this study adhere to the ARRIVE Guidelines for reporting animal research [21]. The experiments were carried out on 10 male Chinchilla rabbits weighing 3.0–3.5 kg and 95 outbred albino male rats weighing 250–270 g. Animals were kept under standard vivarium conditions (22–24 °C, 40–50% humidity, ambient light) during the study.

3.2.2. In Vitro Anticoagulant Assay

The study was performed on platelet-poor plasma (PPP) stabilized with a 3.8% sodium citrate solution in a ratio of 9:1, according to the method in [22]. Dabigatran etexilate (Boehringer Ingelheim Pharma GmbH and Co., Ingelheim am Rhein, Germany) was used as a reference drug. Test compounds and the reference drug were evaluated at a concentration of 100 μM. Effect on rabbit blood coagulogram in vitro was determined chronometrically with a SOLAR hemocoagulometer (Belarus, Minsk) using commercial kits (Technology-Standard, Russia, Barnaul) as per the manufacturer’s instructions. The following parameters were determined: activated partial thromboplastin time, and thrombin and prothrombin time. Hypercytokinemia conditions were modeled by incubation of whole blood with S. typhimurium LPS (Sigma Aldrich, St. Louis, MO, USA) at a final concentration of 20 ng/mL and subsequent preparation of PPP. Compounds that showed high dose-dependent prolongation of thrombin time under conditions of LPS-treatment and without were assessed for IC50 values using the regression analysis method in the Microsoft Excel 2007 program (Microsoft Corporation, Albuquerque, NM, USA).

3.2.3. Anticoagulant Assay in Animals

The most active compounds were studied in vivo on male rats after a single intragastric administration in a volume of no more than 2 mL. Distilled water was used as a vehicle. In all experiments, control animals were injected with a vehicle in an equivalent volume.
The reference drug dabigatran etexilate was administered to rats 2 h before the study at a 12 mg/kg dose (equivalent to the human dose, taking into account the interspecies conversion factor). The compounds were administered in doses equimolar to the dose of dabigatran etexilate, and the efficacy was assessed 1, 2, and 4 h after administration. Depending on the activity, the doses of the compounds under study were increased by two and four times.
Blood was taken from the inferior vena cava of rats anesthetized with 400 mg/kg chloral hydrate intraperitoneally. To stabilize the blood, a 3.8% aqueous solution of sodium citrate (pH 6.0) was used in a ratio of 9:1. Coagulogram parameters of platelet-poor plasma were measured with a SOLAR coagulometer according to the methods described above.
In addition, the assessment of the parameters of hemostasis in rats was carried out by the method of thromboelastography [23]. The following parameters were measured: R—time to formation of the first fibrin filaments; K—time from R until the clot reaches 20 mm; α-Angle—the tangent of the curve made as the K is reached; MA—maximum amplitude characterizing the functional activity of platelets and clot strength.

3.2.4. Acute Toxicity

Acute toxicity of the most active compounds was determined on 10 white nonlinear male mice, weighing 20–22 g, with intraperitoneal administration. The deaths of animals were recorded within two weeks.

3.2.5. Tail Bleeding Time (TBT) Model

These models are the most widely used approach for assessing hemostasis in mice. Bleeding time was determined on 10 white nonlinear male mice, weighing 20–22 g, with intragastrical administration. A scalpel was used to transect the tail at a predetermined distance from the tip (1–5 mm) [24]. The bleeding tail stump is immersed in normal saline warmed to 37 °C, and time to cessation of bleeding is determined.

3.2.6. Statistical Analysis

Biological data were analyzed with 1-way ANOVA using Bonferroni’s multiple comparison correction using the Microsoft Excel 2007 spreadsheet editor, STATISTICA 5.0 (StatSoft, Inc., Palo Alto, CA, USA) for Windows, and Prism 5.0 (GraphPad Inc. San Diego, CA, USA). Data were presented as M + m, where m is SEM. Changes were statistically significant if p < 0.05. The calculation of ED50 (effective dose that prolongs thrombus formation time by 50%) was performed using linear regression analysis.

4. Conclusions

A series of 23 novel azolo[1,5-a]pyrimidine derivatives and their condensed analogs were evaluated in vitro for anticoagulant properties. We have identified five active compounds that significantly prolong thrombin time, outperforming the reference drug dabigatran etexilate. Antithrombin activity of most active compounds was confirmed using LPS-treated blood to mimic conditions of cytokine release syndrome. The studied compounds affected only the thrombin time value, reliably increasing it 6.5–15.2 times as compared to LPS-treated blood. IC50 values were determined for the two most active compounds 3a and 3n in the presence and in the absence of LPS. It was shown that the potency of compounds 3a and 3n exceeded dabigatran etexilate by 1.8 and 1.6 times, respectively, in normal blood, and by 1.2 times after LPS treatment. Most active compounds were also evaluated in animal experiments after a single intragastric administration to rats in doses equimolar to dabigatran etexilate. Compound 3a did not change the parameters of the coagulogram 4 h after administration, while 3n 4 h after administration prolonged the thrombin time by 1.4 times. Doubling the dose of compound 3a also failed to show detectable anticoagulant effects in vivo. Increased dose of compound 3n by two times had an antithrombin effect, increasing thrombin time by 3.3 times after 1, 2, and 4 h, which is comparable to the activity of dabigatran etexilate. After administration of 4 times increased dose of compound 3n, we also observed an antithrombin effect comparable to the effect of dabigatran etexilate 1 h after intragastric administration. All the data obtained were confirmed by thromboelastography, which renders compound 3n a promising anticoagulant agent. Compounds 3n and 3m in animal experiments were inactive, while compound 3n had a pronounced anticoagulant activity, but was inferior to the reference drug dabigatran etexilate. Due to the pronounced anticoagulant activity and low toxicity (<500 mg/kg), compound 3n was chosen to study its effect on bleeding time prolongation and was studied in a bleeding time model. As a result of this study test, the compound was shown to prolong bleeding time insignificantly compared to the control group and to be comparable to the reference drug dabigatran etexilate.
Most active compounds were subjected to pharmacophore analysis by iterative neural network modeling. As a result, five types of QL descriptors significantly affecting the level of FIIa-inhibitory activity were identified, which correspond to neurons with Sens ≥ 1.1: {-N= … =O}, Sens = 1.22; {-N= … CycAr06}, Sens = 1.27; {-N= … CycAr05}, Sens = 1.23; {-N< … =O}, Sens = 1.10; and {-CH3 … >C(<)}, Sens = 1.10. The combination of these binding points forms a pharmacophore that provides a high level of FIIa-inhibitory activity of the tested compounds. The identified pharmacophore is also present in the structure of dabigatran, and almost all of the found pharmacophore fragments occur in its molecule several times.

Supplementary Materials

The following are available online, Figures NMR and IR Spectra of compounds 3, 6, 9, 13, and 14.

Author Contributions

Synthesis, K.V.S. and V.V.F.; iterative neural network pharmacophore analysis, P.M.V.; studying of the anticoagulant activity, A.F.K., V.A.K., V.S.S., K.A.G. and G.M.U.; methodology, V.L.R., S.K.K. and A.A.S.; writing—original draft preparation, K.V.S., V.V.F., K.A.G. and G.M.U.; writing—review and editing, A.F.K., P.M.V., V.A.K. and V.S.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded within the framework of the grant agreement as government subsidies from the federal budget in accordance with paragraph 4 of article 78.1 of the Budget Code of the Russian Federation (Moscow, 1 October 2020, No. 075-15-2020-777).

Institutional Review Board Statement

All animal procedures were carried out under the generally accepted ethical standards for manipulations on animals adopted by the European Convention for the Protection of Vertebrate Animals Used for Experimental and Other Scientific Purposes (1986) and taking into account the International Recommendations of the European Convention for the Protection of Vertebrate Animals Used for Experimental research (1997). The study was approved by the Local Ethics Committee of the Volgograd State Medical University (registration No. IRB 00005839 IORG 0004900, OHRP), Certificate No. 2021/056, 15 June 2021. All sections of this study adhere to the ARRIVE Guidelines for reporting animal research [20].

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within article.

Acknowledgments

The team of authors would like to thank the Laboratory for Comprehensive Research and Expert Evaluation of Organic Materials under the direction of O. S. Eltsov.

Conflicts of Interest

The authors declare no conflict of interest.

Sample Availability

Samples of the compounds 3–14 are available from the authors.

References

  1. Mitchell, W.B. Thromboinflammation in COVID-19 Acute Lung Injury. Paediatr. Respir. Rev. 2020, 35, 20–24. [Google Scholar] [CrossRef]
  2. Llitjos, J.-F.; Leclerc, M.; Chochois, C.; Monsallier, J.-M.; Ramakers, M.; Auvray, M.; Merouani, K. High Incidence of Venous Thromboembolic Events in Anticoagulated Severe COVID-19 Patients. J. Thromb Haemost. 2020, 18, 1743–1746. [Google Scholar] [CrossRef]
  3. Klok, F.A.; Kruip, M.J.H.A.; van der Meer, N.J.M.; Arbous, M.S.; Gommers, D.; Kant, K.M.; Kaptein, F.H.J.; van Paassen, J.; Stals, M.A.M.; Huisman, M.V.; et al. Confirmation of the High Cumulative Incidence of Thrombotic Complications in Critically Ill ICU Patients with COVID-19: An Updated Analysis. Thromb Res. 2020, 191, 148–150. [Google Scholar] [CrossRef]
  4. Lodigiani, C.; Iapichino, G.; Carenzo, L.; Cecconi, M.; Ferrazzi, P.; Sebastian, T.; Kucher, N.; Studt, J.-D.; Sacco, C.; Bertuzzi, A.; et al. Venous and Arterial Thromboembolic Complications in COVID-19 Patients Admitted to an Academic Hospital in Milan, Italy. Thromb Res. 2020, 191, 9–14. [Google Scholar] [CrossRef] [PubMed]
  5. Tang, N.; Bai, H.; Chen, X.; Gong, J.; Li, D.; Sun, Z. Anticoagulant Treatment Is Associated with Decreased Mortality in Severe Coronavirus Disease 2019 Patients with Coagulopathy. J. Thromb Haemost. 2020, 18, 1094–1099. [Google Scholar] [CrossRef]
  6. Testa, S.; Prandoni, P.; Paoletti, O.; Morandini, R.; Tala, M.; Dellanoce, C.; Giorgi-Pierfranceschi, M.; Betti, M.; Danzi, G.B.; Pan, A.; et al. Direct Oral Anticoagulant Plasma Levels’ Striking Increase in Severe COVID-19 Respiratory Syndrome Patients Treated with Antiviral Agents: The Cremona Experience. J. Thromb Haemost. 2020, 18, 1320–1323. [Google Scholar] [CrossRef] [PubMed]
  7. Savateev, K.V.; Ulomsky, E.N.; Butorin, I.I.; Charushin, V.N.; Rusinov, V.L.; Chupakhin, O.N. Azoloazines as A2a Receptor Antagonists. Structure–Activity Relationship. Russ. Chem. Rev. 2018, 87, 636–669. [Google Scholar] [CrossRef]
  8. Vassiliev, P.M.; Spasov, A.A.; Kosolapov, V.A.; Kucheryavenko, A.F.; Gurova, N.A.; Anisimova, V.A. Consensus Drug Design Using IT Microcosm. In Application of Computational Techniques in Pharmacy and Medicine; Gorb, L., Kuz’min, V., Muratov, E., Eds.; Challenges and Advances in Computational Chemistry and Physics; Springer: Dordrecht, The Netherlands, 2014; pp. 369–431. ISBN 978-94-017-9257-8. [Google Scholar]
  9. Pires, D.E.V.; Blundell, T.L.; Ascher, D.B. pkCSM: Predicting small-molecule pharmacokinetic properties using graph-based signatures. J. Med. Chem 2015, 58, 4066–4072. [Google Scholar] [CrossRef]
  10. Kůrková, V. Kolmogorov’s Theorem and Multilayer Neural Networks. Neural Net. 1992, 5, 501–506. [Google Scholar] [CrossRef]
  11. Hilbe, J.M. Statistica 7. Am. Stat. 2007, 61, 91–94. [Google Scholar] [CrossRef]
  12. Wu, C.; Lu, W.; Zhang, Y.; Zhang, G.; Shi, X.; Hisada, Y.; Grover, S.P.; Zhang, X.; Li, L.; Xiang, B.; et al. Inflammasome Activation Triggers Blood Clotting and Host Death through Pyroptosis. Immunity 2019, 50, 1401–1411.e4. [Google Scholar] [CrossRef] [PubMed]
  13. Pawlinski, R.; Pedersen, B.; Schabbauer, G.; Tencati, M.; Holscher, T.; Boisvert, W.; Andrade-Gordon, P.; Frank, R.D.; Mackman, N. Role of Tissue Factor and Protease-Activated Receptors in a Mouse Model of Endotoxemia. Blood 2004, 103, 1342–1347. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Zhang, H.; Zeng, L.; Xie, M.; Liu, J.; Zhou, B.; Wu, R.; Cao, L.; Kroemer, G.; Wang, H.; Billiar, T.R.; et al. TMEM173 Drives Lethal Coagulation in Sepsis. Cell Host Microbe 2020, 27, 556–570.e6. [Google Scholar] [CrossRef] [PubMed]
  15. Yang, X.; Cheng, X.; Tang, Y.; Qiu, X.; Wang, Y.; Kang, H.; Wu, J.; Wang, Z.; Liu, Y.; Chen, F.; et al. Bacterial Endotoxin Activates the Coagulation Cascade through Gasdermin D-Dependent Phosphatidylserine Exposure. Immunity 2019, 51, 983–996.e6. [Google Scholar] [CrossRef] [PubMed]
  16. Levi, M.; van der Poll, T. Coagulation and Sepsis. Thromb Res. 2017, 149, 38–44. [Google Scholar] [CrossRef]
  17. Novinson, T.; Springer, R.H.; O’Brien, D.E.; Scholten, M.B.; Miller, J.P.; Robins, R.K. 2-(Alkylthio)-1,2,4-Triazolo [1,5-a] Pyrimidines as Adenosine Cyclic 3′,5′-Monophosphate Phosphodiesterase Inhibitors with Potential as New Cardiovascular Agents. J. Med. Chem. 1982, 25, 420–426. [Google Scholar] [CrossRef]
  18. Aghazadeh Tabrizi, M.; Baraldi, P.G.; Ruggiero, E.; Saponaro, G.; Baraldi, S.; Poli, G.; Tuccinardi, T.; Ravani, A.; Vincenzi, F.; Borea, P.A.; et al. Synthesis and Structure Activity Relationship Investigation of Triazolo [1,5-a] Pyrimidines as CB2 Cannabinoid Receptor Inverse Agonists. Eur. J. Med. Chem. 2016, 113, 11–27. [Google Scholar] [CrossRef]
  19. Fedotov, V.V.; Ulomskiy, E.N.; Gorbunov, E.B.; Eltsov, O.S.; Voinkov, E.K.; Savateev, K.V.; Drokin, R.A.; Kotovskaya, S.K.; Rusinov, V.L. 3-Nitropyrimido [1,2-a] Benzimidazol-4-Ones: Synthesis and Study of Alkylation Reaction. Chem. Heterocycl. Comp. 2017, 53, 582–588. [Google Scholar] [CrossRef]
  20. Fedotov, V.V.; Ulomsky, E.N.; Belskaya, N.P.; Eltyshev, A.K.; Savateev, K.V.; Voinkov, E.K.; Lyapustin, D.N.; Rusinov, V.L. Benzimidazoazapurines: Design, Synthesis and Photophysical Study. J. Org. Chem. 2021, 86, 8319–8332. [Google Scholar] [CrossRef]
  21. Du Sert, N.P.; Ahluwalia, A.; Alam, S.; Avey, M.T.; Baker, M.; Browne, W.J.; Clark, A.; Cuthill, I.C.; Dirnagl, U.; Emerson, M.; et al. Reporting Animal Research: Explanation and Elaboration for the ARRIVE Guidelines 2.0. PLoS Biol. 2020, 18, e3000411. [Google Scholar] [CrossRef]
  22. Spasov, A.A.; Kucheryavenko, A.F.; Gaidukova, K.A.; Kosolapov, V.A.; Zhukovskaya, O.N. Antiplatelet Activity of New Derivatives of Benzimidazole Containing Sterically Hindered Phenolic Group in Their Structure. Res. Results Pharmacol. 2020, 6, 1–9. [Google Scholar] [CrossRef] [Green Version]
  23. Niemi, T.T.; Kuitunen, A.H. Artificial Colloids Impair Haemostasis. An in Vitro Study Using Thromboelastometry Coagulation Analysis. Acta Anaesthesiol. Scand. 2005, 49, 373–378. [Google Scholar] [CrossRef] [PubMed]
  24. Greene, T.K.; Schiviz, A.; Hoellriegl, W.; Poncz, M.; Muchitsch, E.M. Towards a standardization of the murine tail bleeding model. J. Thromb Haemost. 2010, 12, 2820–2822. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Examples of biologically active azoloazines.
Figure 1. Examples of biologically active azoloazines.
Molecules 27 00274 g001
Scheme 1. Synthesis of 6-ethoxycarbonyltriazolo[1,5-a]pyrimidin-7-ones 3a–f.
Scheme 1. Synthesis of 6-ethoxycarbonyltriazolo[1,5-a]pyrimidin-7-ones 3a–f.
Molecules 27 00274 sch001
Scheme 2. Synthesis of 6-nitroazolo[1,5-a]pyrimidin-7-ones 3g–l.
Scheme 2. Synthesis of 6-nitroazolo[1,5-a]pyrimidin-7-ones 3g–l.
Molecules 27 00274 sch002
Scheme 3. Two-step synthesis of dinitrotriazolopyrimidin-7-one 3m.
Scheme 3. Two-step synthesis of dinitrotriazolopyrimidin-7-one 3m.
Molecules 27 00274 sch003
Scheme 4. A series of water-soluble heterocycles 3n–q.
Scheme 4. A series of water-soluble heterocycles 3n–q.
Molecules 27 00274 sch004
Scheme 5. One-pot method for 5-alkylthiadiazolo[3,2-a]purin-8-ones 6a–c.
Scheme 5. One-pot method for 5-alkylthiadiazolo[3,2-a]purin-8-ones 6a–c.
Molecules 27 00274 sch005
Scheme 6. Synthesis of 3-nitrobenzimidazopyrimidinesodium salt 9.
Scheme 6. Synthesis of 3-nitrobenzimidazopyrimidinesodium salt 9.
Molecules 27 00274 sch006
Scheme 7. CH functionalization of the benzimidazoazapurines 10a,b.
Scheme 7. CH functionalization of the benzimidazoazapurines 10a,b.
Molecules 27 00274 sch007
Figure 2. Pharmacophore that defines a high level of FIIa-inhibitory activity of novel compounds.
Figure 2. Pharmacophore that defines a high level of FIIa-inhibitory activity of novel compounds.
Molecules 27 00274 g002
Table 1. Effect of derivatives of azolo[1,5-a]pyrimidines and their condensed analogs on the parameters of the coagulogram of rabbit blood in vitro at a concentration of 100 μM (M ± m, n = 5). APTT—activated partial thromboplastin time; TT—thrombin time; PT—prothrombin time.
Table 1. Effect of derivatives of azolo[1,5-a]pyrimidines and their condensed analogs on the parameters of the coagulogram of rabbit blood in vitro at a concentration of 100 μM (M ± m, n = 5). APTT—activated partial thromboplastin time; TT—thrombin time; PT—prothrombin time.
No.CompoundCoagulogram Parameter
APTT, Sec.TT, Sec.PT, Sec.
Control47.2 ± 0.311.7 ± 0.114.6 ± 0.1
1.Dabigatran etexilate79.6 ± 4.6 *69.5 ± 4.5 *16.7 ± 0.2
2.Apixaban137.5 ± 2.8 *#14.6±0.1 *67.8 ± 2.5 *#
3.3a65.3 ± 3.7108.7 ± 9.9 *#13.9 ± 0.4
4.3b63.7 ± 4.837.9 ± 1.6 *10.8 ± 0.5
5.3c51.8 ± 1.329.1 ± 3.4 *11.0 ± 0.2
6.3d58.8 ± 1.933.7 ± 2.1 *11.6 ± 0.2
7.3e58.0 ± 1.930.3 ± 3.5 *9.9 ± 0.1
8.3f50.8 ± 1.728.4 ± 1.3 *10.1 ± 0.8
9.3g63.2 ± 1.830.1 ± 2.7 *10.4 ± 0.4
10.3h50.4 ± 3.029.1 ± 0.6 *10.1 ± 0.5
11.3j51.8 ± 1.431.0 ± 4.3 *10.4 ± 0.7
12.3k50.6 ± 2.1 *97.9 ± 19.1 *13.9 ± 0.4
13.3l61.1 ± 4.128.5 ± 2.8 *10.0 ± 0.6
14.3m63.9 ± 0.6134.8 ± 10.4 *#14.3 ± 0.6
15.3n55.5 ± 0.8146.7 ± 5.2 *#13.8 ± 0.1
16.3o52.9 ± 1.031.7 ± 3.9 *10.9 ± 0.7
17.3p58.0 ± 4.034.8 ± 3.2 *10.4 ± 0.3
18.3q59.5 ± 1.934.8 ± 3.3 *10.6 ± 0.2
19.6a60.3 ± 2.830.7 ± 4.9 *10.1 ± 0.4
20.6b52.4 ± 1.833.4 ± 5.5 *10.5 ± 0.2
21.6c64.9 ± 2.7 *64.5 ± 9.1 *13.9 ± 0.2
22.963.4 ± 4.053.2 ± 9.1 *11.9 ± 0.6
23.13a62.7 ± 8.837.0 ± 4.0 *10.8 ± 0.7
24.13b63.7 ± 2.035.6 ± 1.2 *10.8 ± 0.5
25.13c53.1 ± 1.641.6 ± 1.9 *10.3 ± 0.4
26.13d58.1 ± 1.040.5 ± 3.6 *10.2 ± 0.1
27.13e51.8 ± 2.939.3 ± 1.7 *11.5 ± 0.6
28.14a64.7 ± 5.840.0 ± 1.8 *11.3 ± 0.9
Notes: *—(p ≤ 0.05) changes are statistically significant vs. control, 1-way ANOVA; #—(p ≤ 0.05) changes are statistically significant vs. dabigatran etexilate, 1-way ANOVA.
Table 2. Neural networks were obtained after iterative modeling.
Table 2. Neural networks were obtained after iterative modeling.
No.
Iteration
Network ArchitectureCorrelation Coefficient
TrainingTestValidation
1MLP126-9-1BFGS65ExpTanh0.7820.9990.997
2MLP102-10-1BFGS29ExpIdent0.7810.9990.999
3MLP 85-8-1BFGS23ExpTanh0.7810.9990.999
4MLP 71-6-1BFGS23ExpTanh0.7820.9990.985
5MLP 67-11-1BFGS23LogistTanh0.7820.9990.829
6MLP 66-11-1BFGS25TanhIdent0.7810.9990.980
7MLP 65-4-1BFGS56ExpTanh0.7820.9990.983
Notes: MLP—multilayer perceptron; k-m-1—the number of input, hidden, and output neurons; BFGSN—algorithm for finding the minimum error function; Exp, Tanh, Ident, Logist—activation functions of the hidden and output layers of neurons, exponential, hyperbolic tangent, identical, logistic, respectively.
Table 3. Entry of the identified pharmacophore into structures of the most active FIIa inhibitors and dabigatran etexilate.
Table 3. Entry of the identified pharmacophore into structures of the most active FIIa inhibitors and dabigatran etexilate.
Molecules 27 00274 i001 Molecules 27 00274 i002 Molecules 27 00274 i003
3n3a3m
{-N= … CycAr06}—1
{-N= … CycAr05}—4
{-N< … =O}—1
Total—6
{-N= … =O}—2
{-N= … CycAr06}—1
{-N= … CycAr05}—2
{-N< … =O}—2
{-CH3 … >C(<)}—2
Total—9
{-N= … CycAr06}—1
{-N= … CycAr05}—4
{-N< … =O}—1
{CH3 … >C(<)}—1
Total—7
Molecules 27 00274 i004
Dabigatranetexilate
{-N= … =O}—2
{-N= … CycAr06}—3
{-N= … CycAr05}—1
{-N< … =O}—3
{-CH3 … >C(<)}—9
Total—18
Table 4. Effect of compounds on the parameters of coagulogram of rabbit blood treated with LPS in vitro in a concentration of 100 μM (M ± m, n = 5).
Table 4. Effect of compounds on the parameters of coagulogram of rabbit blood treated with LPS in vitro in a concentration of 100 μM (M ± m, n = 5).
CompoundParameters of Coagulogram
APTT, Sec.TT, Sec.PT, Sec.
Control47.18 ± 0.3411.65 ± 0.0614.60 ± 0.10
LPS control56.28 ± 1.60 *13.131 ± 1.6315.10 ± 0.07
Dabigatran etexilate145.33 ± 25.17 *#125.45 ± 1.54 *#16.77 ± 0.20
Apixaban156.3 ± 7.5 *#15.5 ± 0.1 *97.0 ± 5.3 *#
3a65.73 ± 2.50 *141.62 ± 12.55 *#16.38 ± 0.35 *
3k51.52 ± 2.26116.9316 ± 16.79 *#15.75 ± 0.74
3m62.27 ± 1.07 *85.05 ± 4.99 *#15.75 ± 0.19
3n61.43 ± 0.49 *199.82 ± 4.39 *#$15.20 ± 0.15
Notes: *—(p < 0.05) changes are statistically significant vs. control, 1-way ANOVA; #—(p < 0.05) changes are statistically significant vs. LPS-control, 1-way ANOVA; $—(p < 0.05) changes are statistically significant vs. dabigatran etexilate, 1-way ANOVA.
Table 5. IC50 of compounds 3a and 3n of thrombin time prolongation with and without LPS in vitro.
Table 5. IC50 of compounds 3a and 3n of thrombin time prolongation with and without LPS in vitro.
Compound∆% of Thrombin Time Prolongation Relative to ControlIC50, µM
100 µM10 µM1 µM
Dabigatran etexilate493.6 ± 4.5 *302.0 ± 0.3 *42.3 ± 0.624
3a829.1 ± 10.0 *$326.9 ± 1.5 *40.6 ± 0.813
3n1154.1 ± 5.2 *$477.1 ± 3.4 *$48.0 ± 1.315
Compound∆% of thrombin time prolongation relative to control + LPSIC50, µM
100 µM10 µM1 µM
Dabigatran etexilate + LPS855.4 ± 1.5 #292.0 ± 0.6 #51.7 ± 0.511
3a + LPS978.6 ± 12.6 #298.3 ± 4.2 #66.6 ± 1.291
3n + LPS1421.8 ± 4.4 #$446.6 ± 6.2 #$70.6 ± 1.013
Notes: *—(p < 0.05) changes are statistically significant vs. control, 1-way ANOVA; #—(p < 0.05) changes are statistically significant vs. LPS-control, 1-way ANOVA; $—(p < 0.05) changes are statistically significant vs. dabigatranetexilate, 1-way ANOVA.
Table 6. Effect of compounds 3a and 3n in equimolar dabigatran etexilate doses on the coagulogram of rats with a single intragastric administration (M ± m, n = 5).
Table 6. Effect of compounds 3a and 3n in equimolar dabigatran etexilate doses on the coagulogram of rats with a single intragastric administration (M ± m, n = 5).
SampleDose, mg/kgTime, hCoagulogram Parameters
APTT, Sec.TT, Sec.PT, Sec.
Control 38.3 ± 1.757.7 ± 3.828.1 ± 1.4
Dabigatran etexilate12.0 12 #137.53 ± 2.79 *637.4 ± 5.1 *31.20 ± 1.17
3a5.4 $132.2 ± 0.840.9 ± 6.024.9 ± 0.8
237.2 ± 1.260.7 ± 6.026.4 ± 0.4
433.3 ± 0.764.8 ± 3.427.7 ± 0.7
3n5.8 $127.9 ± 2.368.6 ± 3.429.3 ± 1.3
228.5 ± 1.365.5 ± 6.128.4 ± 1.6
427.0 ± 2.778.5 ± 1.6 *31.2 ± 1.2
Notes: 1—dose obtained by recalculation using the interspecies coefficient; $—dose, equimolar to 12.0 mg/kg of dabigatran etexilate; *—p < 0.05) changes are statistically significant vs. control, 1-way ANOVA; #—time to reach the maximum plasma concentration of dabigatran etexilate. n—number of experimental animals.
Table 7. Effect of compounds 3a and 3n on thromboelastogram (TEG) of rats with a single intragastric administration (M ± m, n = 5).
Table 7. Effect of compounds 3a and 3n on thromboelastogram (TEG) of rats with a single intragastric administration (M ± m, n = 5).
SampleDose, mg/kgTime, hTEG Parameters
R, minK, minαAngle, Deg.MA, RU
Control 6.4 ± 0.92.5 ± 0.161.5 ± 2.365.5 ± 1.2
Dabigatran etexilate12.0 12 #22.8 ± 3.3 *16.8 ± 2.8 *14.1 ± 3.1 *37.1 ± 7.9 *
3a5.4 $17.3 ± 0.62.9 ± 0.455.2 ± 3.568.2 ± 1.9
26.9 ± 0.23.5 ± 0.351.7 ± 2.166.2 ± 0.3
49.2 ± 1.02.7 ± 0.554.6 ± 6.166.2 ± 0.1
3n5.8 $16.1 ± 1.62.4 ± 0.862.8 ± 7.666.1 ± 5.1
25.4 ± 0.43.2 ± 0.554.3 ± 2.763.7 ± 2.5
47.9 ± 0.511.6 ± 3.2 *37.3 ± 7.846.9 ± 9.1
Notes: 1—dose obtained by recalculation using the interspecies coefficient; $—dose, equimolar to 12.0 mg/kg of dabigatran etexilate; *—(p < 0.05) changes are statistically significant vs. control, 1-way ANOVA; #—time to reach the maximum plasma concentration of dabigatran etexilate; n—number of experimental animals; R—time to formation of the first fibrin filaments; K—time from R until the clot reaches 20mm; αAngle—the tangent of the curve made as the K is reached; MA—maximum amplitude characterizing the functional activity of platelets and clot strength.
Table 8. Effect of compounds 3a and 3n on the coagulogram of rats after a single intragastric administration at various intervals in increased doses (M ± m, n = 5 ).
Table 8. Effect of compounds 3a and 3n on the coagulogram of rats after a single intragastric administration at various intervals in increased doses (M ± m, n = 5 ).
SampleDose, mg/kgTime, hCoagulogram Parameters
APTT, Sec.TT, Sec.PT, Sec.
Control 38.3 ± 1.757.7 ± 3.828.1 ± 1.4
Dabigatran etexilate12.0 12 #140.1 ± 8.1 *637.4 ± 5.1 *30.5 ± 0.8
3a10.8135.9 ± 0.366.5 ± 11.029.1 ± 1.9
235.8 ± 1.567.2 ± 5.625.8 ± 0.6
435.4 ± 1.457.9 ± 6.426.2 ± 1.6
3n11.6137.0 ± 0.8194.4 ± 19.8 *25.4 ± 1.3
232.3 ± 0.2186.9 ± 2.522.9 ± 4.4
436.1 ± 1.2198.3 ± 26.7 *28.7 ± 1.4
23.2131.6 ± 1.5655.6 ± 2.1 *29.3 ± 0.6
231.7 ± 0.7116.5 ± 13.7 *20.9 ± 0.3
434.4 ± 0.795.6 ± 25.821.8 ± 0.9
Notes: 1—dose obtained by recalculation using the interspecies coefficient; *—(p < 0.05) changes are statistically significant vs. control, 1-way ANOVA; #—time to reach the maximum plasma concentration of dabigatran etexilate; n—number of experimental animals.
Table 9. Effect of compounds 3a and 3n on the TEG of rats after a single intragastric administration at various intervals in an increased doses (M ± m, n = 5).
Table 9. Effect of compounds 3a and 3n on the TEG of rats after a single intragastric administration at various intervals in an increased doses (M ± m, n = 5).
SampleDose, mg/kgTime, hTEG Parameters
R, minK, minαAngle, Deg.MA,
RU
Control 6.4 ± 0.92.5 ± 0.161.5 ± 2.365.5 ± 1.2
Dabigatran etexilate12.0 12 #22.8 ± 3.3 *16.8 ± 2.8 *14.1 ± 3.1 *37.1±7.9 *
3a10.818.1 ± 0.62.3 ± 0.160.3 ± 0.169.6 ± 2.3
25.9 ± 0.41.8 ± 0.367.3 ± 0.469.5 ± 3.3
45.9 ± 0.62.3 ± 0.561.1 ± 3.173.3 ± 2.3
3n11.616.2 ± 1.14.6 ± 1.141.5 ± 7.652.8 ± 2.5
28.7 ± 0.36.2 ± 0.4 *32.3 ± 1.5 *50.3 ± 1.3
411.9 ± 1.0 *8.9 ± 0.9 *24.5 ± 1.2 *46.7 ± 1.6 *
23.2113.6 ± 1.5 *9.2 ± 0.9 *29.0 ± 2.8 *45.1 ± 3.6 *
29.0 ± 0.01 *5.0 ± 1.837.4 ± 6.7 *53.5 ± 3.6
420.1 ± 8.418.1 ± 7.314.9 ± 6.4 *34.5 ± 2.9 *
Notes: 1—dose obtained by recalculation using the interspecies coefficient; *—(p < 0.05) changes are statistically significant vs. control, 1-way ANOVA; #—time to reach the maximum plasma concentration of dabigatran etexilate; n—number of experimental animals.
Table 10. Bleeding times in mice.
Table 10. Bleeding times in mice.
SampleDose, mg/kgTBT, s
Control 288.3 ± 29.7
Dabigatran etexilate12.0268.5 ± 17.0
3n23.2313.0 ± 11.4
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Savateev, K.V.; Fedotov, V.V.; Rusinov, V.L.; Kotovskaya, S.K.; Spasov, A.A.; Kucheryavenko, A.F.; Vasiliev, P.M.; Kosolapov, V.A.; Sirotenko, V.S.; Gaidukova, K.A.; et al. Azolo[1,5-a]pyrimidines and Their Condensed Analogs with Anticoagulant Activity. Molecules 2022, 27, 274. https://doi.org/10.3390/molecules27010274

AMA Style

Savateev KV, Fedotov VV, Rusinov VL, Kotovskaya SK, Spasov AA, Kucheryavenko AF, Vasiliev PM, Kosolapov VA, Sirotenko VS, Gaidukova KA, et al. Azolo[1,5-a]pyrimidines and Their Condensed Analogs with Anticoagulant Activity. Molecules. 2022; 27(1):274. https://doi.org/10.3390/molecules27010274

Chicago/Turabian Style

Savateev, Konstantin V., Victor V. Fedotov, Vladimir L. Rusinov, Svetlana K. Kotovskaya, Alexandr A. Spasov, Aida F. Kucheryavenko, Pavel M. Vasiliev, Vadim A. Kosolapov, Victor S. Sirotenko, Kseniya A. Gaidukova, and et al. 2022. "Azolo[1,5-a]pyrimidines and Their Condensed Analogs with Anticoagulant Activity" Molecules 27, no. 1: 274. https://doi.org/10.3390/molecules27010274

APA Style

Savateev, K. V., Fedotov, V. V., Rusinov, V. L., Kotovskaya, S. K., Spasov, A. A., Kucheryavenko, A. F., Vasiliev, P. M., Kosolapov, V. A., Sirotenko, V. S., Gaidukova, K. A., & Uskov, G. M. (2022). Azolo[1,5-a]pyrimidines and Their Condensed Analogs with Anticoagulant Activity. Molecules, 27(1), 274. https://doi.org/10.3390/molecules27010274

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