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Abstract

Drug-Likeness, Pharmacokinetics, and Toxicity Prediction of Phytotoxic Terpenoids †

by
Obinna Kenneth Didigwu
* and
Charles Okeke Nnadi
Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka 410001, Enugu State, Nigeria
*
Author to whom correspondence should be addressed.
Presented at the 1st International Electronic Conference on Toxics, 20–22 March 2024; Available online: https://sciforum.net/event/IECTO2024.
Proceedings 2024, 102(1), 47; https://doi.org/10.3390/proceedings2024102047
Published: 3 April 2024

Abstract

:
Terpenoids constitute one of the most widespread phytoconstituents, with complex chemical structures, a plurality of biological activities, and variable pharmacokinetic profiles. The emerging roles of terpenoids in drug design require an understanding of their ADME/T properties for structure modification and possible repurposing. This study evaluated the drug-likeness of phytotoxic terpenoids obtained from the Toxic Plants–Phytotoxins (TPPT) database via in silico prediction of their pharmacokinetic and toxicity profiles. The TPPT database, comprising 1586 phytotoxins, was filtered to 576 terpenoids. Using Swiss ADME, pkCSM, and ProTox II webserver tools, Lipinski’s properties and topological polar surface area (TPSA) were predicted for drug-likeness, alongside their pharmacokinetic profiles and toxicity on various organ endpoints. In total, 9.55% of the terpenoids obeyed Lipinski’s rule of five. None of the compounds inhibited hERG I, while 12.73% inhibited hERG II, implying that some were cardiotoxic. In addition, 25.45% of the compounds elicited AMES toxicity; 25.45% caused liver injury; and 32.73% caused skin sensitivity. Furthermore, 72.73% showed high Caco-2 permeability and 76.36% displayed good skin permeability, implying their suitability for transdermal drug delivery. P-glycoprotein was extruded by 29.09% of the compounds and inhibited by 34.45%; 47.27% of the compounds readily crossed the blood–brain barrier, 23.64% penetrated the central nervous system, 56.36% were sensitive to cytochrome p450 isoenzymes, 36.37% inhibited cytochrome p450 isoenzymes, 49.09% resulted in immunotoxicity, 1.82% were toxic to cells, 14.55% would cause cancer, and 21.82% showed high tolerated doses in humans. Most of them showed a high volume of distribution, were free-flowing in plasma, and demonstrated moderate bioavailability, while all had high intestinal absorption and 78.18% demonstrated good water solubility. This study identified marrubiin as a drug-like, non-toxic, and highly bioavailable terpenoid with strong potential for further optimization, and development.

Author Contributions

Conceptualization, C.O.N. and O.K.D.; methodology, C.O.N.; software, O.K.D.; validation, O.K.D.; formal analysis, O.K.D.; investigation, C.O.N. and O.K.D.; writing—original draft preparation, O.K.D.; writing—review and editing, C.O.N.; visualization, O.K.D. and C.O.N.; supervision, C.O.N. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.
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Share and Cite

MDPI and ACS Style

Didigwu, O.K.; Nnadi, C.O. Drug-Likeness, Pharmacokinetics, and Toxicity Prediction of Phytotoxic Terpenoids. Proceedings 2024, 102, 47. https://doi.org/10.3390/proceedings2024102047

AMA Style

Didigwu OK, Nnadi CO. Drug-Likeness, Pharmacokinetics, and Toxicity Prediction of Phytotoxic Terpenoids. Proceedings. 2024; 102(1):47. https://doi.org/10.3390/proceedings2024102047

Chicago/Turabian Style

Didigwu, Obinna Kenneth, and Charles Okeke Nnadi. 2024. "Drug-Likeness, Pharmacokinetics, and Toxicity Prediction of Phytotoxic Terpenoids" Proceedings 102, no. 1: 47. https://doi.org/10.3390/proceedings2024102047

APA Style

Didigwu, O. K., & Nnadi, C. O. (2024). Drug-Likeness, Pharmacokinetics, and Toxicity Prediction of Phytotoxic Terpenoids. Proceedings, 102(1), 47. https://doi.org/10.3390/proceedings2024102047

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