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Molecular Dynamics Simulations: Advances and Applications

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Computational and Theoretical Chemistry".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 39286

Special Issue Editors


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Guest Editor
Center for Chemistry and Faculty of Pharmacy, University of Coimbra Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal
Interests: physical chemistry of membranes; membrane lateral organization; lipid–protein interaction; lipid–drug interaction; molecular dynamics simulations; fluorescence spectroscopy; Förster resonance energy transfer
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Guest Editor
Department of Chemistry, Center for Chemistry, University of Coimbra R. Larga, 3004-535 Coimbra, Portugal
Interests: molecular dynamics simulations; lipid membranes; fluorescent probes; drug–membrane interactions; free energy profiles; drug permeation; protein–ligand interaction; antioxidant-membrane interactions; food fats
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear colleagues,

Molecular dynamics (MD) simulations have led to great advances in many scientific disciplines, such as chemical physics, materials science, and biophysics. This computational methodology has demonstrated high relevance in the detailed characterization of biomolecular systems, including complementarity with experimental data, optimization of the design of experiments, and prediction of relevant properties for chemical systems that are expensive or difficult to handle experimentally. Among many applications, it has been employed to characterize disease development processes and used in the initial stages of drug design and development.

The application of MD simulations to the characterization of biomolecular systems is very broad, encompassing the characterization of membrane structure and organization, membrane permeability, lipid–protein interactions, lipid–drug interactions, protein–ligand interactions, and protein structure and dynamics. In this context, MD simulations have been used to obtain both detailed atomic-scale and coarse-grained level information that can span systems of complexity ranging from a few molecules to an entire organelle.

MD simulations, boosted by an increasing computational power, have evolved to a level that makes them completely suited to the characterization of many properties of molecular and supramolecular systems, such as their preferred organization and free energies of molecular processes. This is accompanied by the emergence of a variety of software packages and tools that were developed to aid parameterization for different force fields. In addition, important manipulation and analysis tools have been developed, increasing the possibilities for building and characterizing new and diverse systems. The development and application of enhanced sampling methods have also been of high importance for the type of information obtained. Knowledge obtained from MD simulations can be of a qualitative or quantitative nature.

In this Special Issue, we invite investigators to contribute original research articles and review articles on all aspects of molecular dynamics simulations. Potential topics include but are not limited to the following:

- Applications of MD simulations to material sciences and chemical engineering;

- Atomistic, coarse-grained, and multiscale MD simulations;

- Characterization of the interaction and permeation of drug-like molecules in lipid membranes;

- Cutting-edge methodologies for the study of biomolecular systems;

- Protein–ligand interactions with implications for disease development and control;

- Quantum mechanics/molecular mechanics approaches to simulations of chemical and biological systems;

- Software, force fields, and diverse tools to deal with biomolecular systems.

Prof. Dr. Luís M.S. Loura
Dr. Hugo A. L. Filipe
Guest Editors

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • Molecular dynamics simulations
  • Biomacromolecules
  • Enhanced sampling techniques
  • Force field development
  • Lipid–drug interaction
  • Materials science and engineering
  • Membrane structure and organization
  • Protein structure and dynamics
  • Protein–ligand interaction
  • Quantum mechanics/molecular mechanics
  • Software development and benchmark

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Published Papers (8 papers)

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Editorial

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3 pages, 191 KiB  
Editorial
Molecular Dynamics Simulations: Advances and Applications
by Hugo A. L. Filipe and Luís M. S. Loura
Molecules 2022, 27(7), 2105; https://doi.org/10.3390/molecules27072105 - 24 Mar 2022
Cited by 73 | Viewed by 9264
Abstract
Molecular dynamics (MD) simulations have led to great advances in many scientific disciplines, such as chemical physics, materials science, and biophysics [...] Full article
(This article belongs to the Special Issue Molecular Dynamics Simulations: Advances and Applications)

Research

Jump to: Editorial

19 pages, 2420 KiB  
Article
Interactions between Rhodamine Dyes and Model Membrane Systems—Insights from Molecular Dynamics Simulations
by Nisa Magalhães, Guilherme M. Simões, Cristiana Ramos, Jaime Samelo, Alexandre C. Oliveira, Hugo A. L. Filipe, João P. Prates Ramalho, Maria João Moreno and Luís M. S. Loura
Molecules 2022, 27(4), 1420; https://doi.org/10.3390/molecules27041420 - 19 Feb 2022
Cited by 12 | Viewed by 4460
Abstract
Background: rhodamines are dyes widely used as fluorescent tags in cell imaging, probing of mitochondrial membrane potential, and as P-glycoprotein model substrates. In all these applications, detailed understanding of the interaction between rhodamines and biomembranes is fundamental. Methods: we combined atomistic molecular dynamics [...] Read more.
Background: rhodamines are dyes widely used as fluorescent tags in cell imaging, probing of mitochondrial membrane potential, and as P-glycoprotein model substrates. In all these applications, detailed understanding of the interaction between rhodamines and biomembranes is fundamental. Methods: we combined atomistic molecular dynamics (MD) simulations and fluorescence spectroscopy to characterize the interaction between rhodamines 123 and B (Rh123 and RhB, respectively) and POPC bilayers. Results: while the xanthene moiety orients roughly parallel to the membrane plane in unrestrained MD simulations, variations on the relative position of the benzoic ring (below the xanthene for Rh123, above it for RhB) were observed, and related to the structure of the two dyes and their interactions with water and lipids. Subtle distinctions were found among different ionization forms of the probes. Experimentally, RhB displayed a lipid/water partition coefficient more than two orders of magnitude higher than Rh123, in agreement with free energy profiles obtained from umbrella sampling MD. Conclusions: this work provided detailed insights on the similarities and differences in the behavior of bilayer-inserted Rh123 and RhB, related to the structure of the probes. The much higher affinity of RhB for the membranes increases the local concentration and explains its higher apparent affinity for P-glycoprotein reconstituted in model membranes. Full article
(This article belongs to the Special Issue Molecular Dynamics Simulations: Advances and Applications)
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17 pages, 6023 KiB  
Article
Investigating the Broad Matrix-Gate Network in the Mitochondrial ADP/ATP Carrier through Molecular Dynamics Simulations
by Shihao Yao, Boyuan Ma, Qiuzi Yi, Min-Xin Guan and Xiaohui Cang
Molecules 2022, 27(3), 1071; https://doi.org/10.3390/molecules27031071 - 5 Feb 2022
Cited by 6 | Viewed by 2669
Abstract
The mitochondrial ADP/ATP carrier (AAC) exports ATP and imports ADP through alternating between cytosol-open (c-) and matrix-open (m-) states. The salt bridge networks near the matrix side (m-gate) and cytosol side (c-gate) are thought to be crucial for state transitions, yet our knowledge [...] Read more.
The mitochondrial ADP/ATP carrier (AAC) exports ATP and imports ADP through alternating between cytosol-open (c-) and matrix-open (m-) states. The salt bridge networks near the matrix side (m-gate) and cytosol side (c-gate) are thought to be crucial for state transitions, yet our knowledge on these networks is still limited. In the current work, we focus on more conserved m-gate network in the c-state AAC. All-atom molecular dynamics (MD) simulations on a variety of mutants and the CATR-AAC complex have revealed that: (1) without involvement of other positive residues, the charged residues from the three Px[DE]xx[KR] motifs only are prone to form symmetrical inter-helical network; (2) R235 plays a determinant role for the asymmetry in m-gate network of AAC; (3) R235 significantly strengthens the interactions between H3 and H5; (4) R79 exhibits more significant impact on m-gate than R279; (5) CATR promotes symmetry in m-gate mainly through separating R234 from D231 and fixing R79; (6) vulnerability of the H2-H3 interface near matrix side could be functionally important. Our results provide new insights into the highly conserved yet variable m-gate network in the big mitochondrial carrier family. Full article
(This article belongs to the Special Issue Molecular Dynamics Simulations: Advances and Applications)
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14 pages, 1096 KiB  
Article
Comparing Dimerization Free Energies and Binding Modes of Small Aromatic Molecules with Different Force Fields
by Ilias Patmanidis, Riccardo Alessandri, Alex H. de Vries and Siewert J. Marrink
Molecules 2021, 26(19), 6069; https://doi.org/10.3390/molecules26196069 - 7 Oct 2021
Cited by 3 | Viewed by 2698
Abstract
Dimerization free energies are fundamental quantities that describe the strength of interaction of different molecules. Obtaining accurate experimental values for small molecules and disentangling the conformations that contribute most to the binding can be extremely difficult, due to the size of the systems [...] Read more.
Dimerization free energies are fundamental quantities that describe the strength of interaction of different molecules. Obtaining accurate experimental values for small molecules and disentangling the conformations that contribute most to the binding can be extremely difficult, due to the size of the systems and the small energy differences. In many cases, one has to resort to computational methods to calculate such properties. In this work, we used molecular dynamics simulations in conjunction with metadynamics to calculate the free energy of dimerization of small aromatic rings, and compared three models from popular online servers for atomistic force fields, namely G54a7, CHARMM36 and OPLS. We show that, regardless of the force field, the profiles for the dimerization free energy of these compounds are very similar. However, significant care needs to be taken when studying larger molecules, since the deviations from the trends increase with the size of the molecules, resulting in force field dependent preferred stacking modes; for example, in the cases of pyrene and tetracene. Our results provide a useful background study for using topology builders to model systems which rely on stacking of aromatic moieties, and are relevant in areas ranging from drug design to supramolecular assembly. Full article
(This article belongs to the Special Issue Molecular Dynamics Simulations: Advances and Applications)
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16 pages, 3490 KiB  
Article
The Structural and Dynamical Properties of the Hydration of SNase Based on a Molecular Dynamics Simulation
by Hangxin Liu, Shuqing Xiang, Haomiao Zhu and Li Li
Molecules 2021, 26(17), 5403; https://doi.org/10.3390/molecules26175403 - 5 Sep 2021
Cited by 6 | Viewed by 3528
Abstract
The dynamics of protein–water fluctuations are of biological significance. Molecular dynamics simulations were performed in order to explore the hydration dynamics of staphylococcal nuclease (SNase) at different temperatures and mutation levels. A dynamical transition in hydration water (at ~210 K) can trigger larger-amplitude [...] Read more.
The dynamics of protein–water fluctuations are of biological significance. Molecular dynamics simulations were performed in order to explore the hydration dynamics of staphylococcal nuclease (SNase) at different temperatures and mutation levels. A dynamical transition in hydration water (at ~210 K) can trigger larger-amplitude fluctuations of protein. The protein–water hydrogen bonds lost about 40% in the total change from 150 K to 210 K, while the Mean Square Displacement increased by little. The protein was activated when the hydration water in local had a comparable trend in making hydrogen bonds with protein– and other waters. The mutations changed the local chemical properties and the hydration exhibited a biphasic distribution, with two time scales. Hydrogen bonding relaxation governed the local protein fluctuations on the picosecond time scale, with the fastest time (24.9 ps) at the hydrophobic site and slowest time (40.4 ps) in the charged environment. The protein dynamic was related to the water’s translational diffusion via the relaxation of the protein–water’s H-bonding. The structural and dynamical properties of protein–water at the molecular level are fundamental to the physiological and functional mechanisms of SNase. Full article
(This article belongs to the Special Issue Molecular Dynamics Simulations: Advances and Applications)
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17 pages, 6704 KiB  
Article
Conjugated β-Cyclodextrin Enhances the Affinity of Folic Acid towards FRα: Molecular Dynamics Study
by Mohammad G. Al-Thiabat, Amirah Mohd Gazzali, Noratiqah Mohtar, Vikneswaran Murugaiyah, Ezatul Ezleen Kamarulzaman, Beow Keat Yap, Noorsaadah Abd Rahman, Rozana Othman and Habibah A. Wahab
Molecules 2021, 26(17), 5304; https://doi.org/10.3390/molecules26175304 - 31 Aug 2021
Cited by 17 | Viewed by 3901
Abstract
Drug targeting is a progressive area of research with folate receptor alpha (FRα) receiving significant attention as a biological marker in cancer drug delivery. The binding affinity of folic acid (FA) to the FRα active site provides a basis for recognition of FRα. [...] Read more.
Drug targeting is a progressive area of research with folate receptor alpha (FRα) receiving significant attention as a biological marker in cancer drug delivery. The binding affinity of folic acid (FA) to the FRα active site provides a basis for recognition of FRα. In this study, FA was conjugated to beta-cyclodextrin (βCD) and subjected to in silico analysis (molecular docking and molecular dynamics (MD) simulation (100 ns)) to investigate the affinity and stability for the conjugated system compared to unconjugated and apo systems (ligand free). Docking studies revealed that the conjugated FA bound into the active site of FRα with a docking score (free binding energy < −15 kcal/mol), with a similar binding pose to that of unconjugated FA. Subsequent analyses from molecular dynamics (MD) simulations, root mean square deviation (RMSD), root mean square fluctuation (RMSF), and radius of gyration (Rg) demonstrated that FA and FA–βCDs created more dynamically stable systems with FRα than the apo-FRα system. All systems reached equilibrium with stable RMSD values ranging from 1.9–2.4 Å and the average residual fluctuation values of the FRα backbone atoms for all residues (except for terminal residues ARG8, THR9, THR214, and LEU215) were less than 2.1 Å with a consistent Rg value of around 16.8 Å throughout the MD simulation time (0–100 ns). The conjugation with βCD improved the stability and decreased the mobility of all the residues (except residues 149–151) compared to FA–FRα and apo-FRα systems. Further analysis of H-bonds, binding free energy (MM-PBSA), and per residue decomposition energy revealed that besides APS81, residues HIS20, TRP102, HIS135, TRP138, TRP140, and TRP171 were shown to have more favourable energy contributions in the holo systems than in the apo-FRα system, and these residues might have a direct role in increasing the stability of holo systems. Full article
(This article belongs to the Special Issue Molecular Dynamics Simulations: Advances and Applications)
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19 pages, 5502 KiB  
Article
Identification and In Silico Characterization of Novel Helicobacter pylori Glucose-6-Phosphate Dehydrogenase Inhibitors
by Beatriz Hernández-Ochoa, Gabriel Navarrete-Vázquez, Rodrigo Aguayo-Ortiz, Paulina Ortiz-Ramírez, Laura Morales-Luna, Víctor Martínez-Rosas, Abigail González-Valdez, Fernando Gómez-Chávez, Sergio Enríquez-Flores, Carlos Wong-Baeza, Isabel Baeza-Ramírez, Verónica Pérez de la Cruz and Saúl Gómez-Manzo
Molecules 2021, 26(16), 4955; https://doi.org/10.3390/molecules26164955 - 16 Aug 2021
Cited by 7 | Viewed by 3357
Abstract
Helicobacter pylori (H. pylori) is a pathogen that can remain in the stomach of an infected person for their entire life. As a result, this leads to the development of severe gastric diseases such as gastric cancer. In addition, current therapies [...] Read more.
Helicobacter pylori (H. pylori) is a pathogen that can remain in the stomach of an infected person for their entire life. As a result, this leads to the development of severe gastric diseases such as gastric cancer. In addition, current therapies have several problems including antibiotics resistance. Therefore, new practical options to eliminate this bacterium, and its induced affections, are required to avoid morbidity and mortality worldwide. One strategy in the search for new drugs is to detect compounds that inhibit a limiting step in a central metabolic pathway of the pathogen of interest. In this work, we tested 55 compounds to gain insights into their possible use as new inhibitory drugs of H. pylori glucose-6-phosphate dehydrogenase (HpG6PD) activity. The compounds YGC-1; MGD-1, MGD-2; TDA-1; and JMM-3 with their respective scaffold 1,3-thiazolidine-2,4-dione; 1H-benzimidazole; 1,3-benzoxazole, morpholine, and biphenylcarbonitrile showed the best inhibitory activity (IC50 = 310, 465, 340, 204 and 304 μM, respectively). We then modeled the HpG6PD protein by homology modeling to conduct an in silico study of the chemical compounds and discovers its possible interactions with the HpG6PD enzyme. We found that compounds can be internalized at the NADP+ catalytic binding site. Hence, they probably exert a competitive inhibitory effect with NADP+ and a non-competitive or uncompetitive effect with G6P, that of the compounds binding far from the enzyme’s active site. Based on these findings, the tested compounds inhibiting HpG6PD represent promising novel drug candidates against H. pylori. Full article
(This article belongs to the Special Issue Molecular Dynamics Simulations: Advances and Applications)
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15 pages, 14772 KiB  
Article
Analysis of Kojic Acid Derivatives as Competitive Inhibitors of Tyrosinase: A Molecular Modeling Approach
by Richelly Cardoso, Renan Valente, Clauber Henrique Souza da Costa, João Lidio da S. Gonçalves Vianez, Jr., Kauê Santana da Costa, Fábio Alberto de Molfetta and Cláudio Nahum Alves
Molecules 2021, 26(10), 2875; https://doi.org/10.3390/molecules26102875 - 12 May 2021
Cited by 17 | Viewed by 5082
Abstract
Tyrosinases belong to the functional copper-containing proteins family, and their structure contains two copper atoms, in the active site, which are coordinated by three histidine residues. The biosynthesis of melanin in melanocytes has two stages depending on the actions of the natural substrates [...] Read more.
Tyrosinases belong to the functional copper-containing proteins family, and their structure contains two copper atoms, in the active site, which are coordinated by three histidine residues. The biosynthesis of melanin in melanocytes has two stages depending on the actions of the natural substrates L-DOPA and L-tyrosine. The dysregulation of tyrosinase is involved in skin cancer initiation. In the present study, using molecular modeling tools, we analyzed the inhibition activity of tyrosinase activity using kojic acid (KA) derivatives designed from aromatic aldehydes and malononitrile. All derivatives showed conformational affinity to the enzyme active site, and a favorable distance to chelate the copper ion, which is essential for enzyme function. Molecular dynamics simulations revealed that the derivatives formed promising complexes, presenting stable conformations with deviations between 0.2 and 0.35 Å. In addition, the investigated KA derivatives showed favorable binding free energies. The most stable KA derivatives showed the following binding free energies: −17.65 kcal mol−1 (D6), −18.07 kcal mol−1 (D2), −18.13 (D5) kcal mol−1, and −10.31 kcal mol−1 (D4). Our results suggest that these derivatives could be potent competitive inhibitors of the natural substrates of L-DOPA (−12.84 kcal mol−1) and L-tyrosine (−9.04 kcal mol−1) in melanogenesis. Full article
(This article belongs to the Special Issue Molecular Dynamics Simulations: Advances and Applications)
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