QSAR prediction of toxicity for a new 1,2,4-triazole derivatives with 2-bromo-5-methoxyphenyl fragment

Authors

DOI:

https://doi.org/10.14739/2409-2932.2024.3.312041

Keywords:

1,2,4-triazole, QSAR, toxicity, prediction

Abstract

New derivatives of 1,2,4-triazole are promising research targets due to their unique biological properties, including antimicrobial, antifungal, antitumor, and antioxidant activities. The introduction of the 2-bromo-5-methoxyphenyl fragment into the triazole structure potentially enhances these properties. However, the issue of toxicity for such compounds remains a critical factor for their further application. To reduce experimental costs and time, QSAR (Quantitative Structure-Activity Relationship) methods are widely applied, allowing to predict compounds toxicity based on their molecular structure.

The aim of this study was to evaluate the toxicity of new derivatives of 5-(2-bromo-5-methoxyphenyl)-4-R-1,2,4-triazole-3-thiols, their acids, and esters using the QSAR method to predict parameters of acute toxicity (LD50) and to assess the influence of various radicals on the toxicity of the compounds.

Materials and methods. The objects of this study were derivatives of 5-(2-bromo-5-methoxyphenyl)-4-R-1,2,4-triazole-3-thiols, synthesized at the Department of Toxicological and Inorganic Chemistry of Zaporizhzhia State Medical and Pharmaceutical University. The nearest neighbor method was used for toxicity evaluation, applying the Toxicity Estimation Software Tool (TEST). The prediction of rats lethal dose (LD50) was based on the structural similarity of the studied compounds with known substances that have experimental toxicity data.

Results. The QSAR analysis revealed that structural modifications in the derivatives of 5-(2-bromo-5-methoxyphenyl)-4-R-1,2,4-triazole-3-thiols significantly influence their toxicity. Specifically, increasing the size of the radicals, especially through the introduction of aromatic fragments, contributed to the enhanced safety of the compounds, as evidenced by the increase in LD50 values. The highest LD50 values were observed for compounds containing phenyl radicals.

Conclusions. The results of this study indicate the feasibility of using QSAR models to predict the toxicity of 1,2,4-triazole derivatives containing a 2-bromo-5-methoxyphenyl fragment. The observed trend of increasing safety with the introduction of larger aromatic radicals can be used for the rational design of new compounds with improved toxicological properties.

Author Biographies

M. P. Skoryi, Zaporizhzhia State Medical and Pharmaceutical University, Ukraine

PhD student of the Department of Toxicological and Inorganic Chemistry

R. O. Shcherbyna, Zaporizhzhia State Medical and Pharmaceutical University, Ukraine

PhD, DSc, Professor of the Department of Toxicological and Inorganic Chemistry

References

Kalchenko VV, Shcherbyna RO. [Analysis of the biological potential of 1,2,4-triazole derivatives (literature review)]. Ukrainian Medical News. 2023;15(2):19-24. Ukrainian. Available from: https://umv.com.ua/index.php/journal/article/view/333/318

Shcherbyna R, Pruhlo Y, Duchenko M, Kulagina M, Kudria V, Valentyna V. Evaluation of Antioxidant Activity of 1, 2, 4-Triazole Derivatives With Morpholine Moiety. Hacettepe Univ J Fac Pharm. 2022;42(2):73-82. doi: https://doi.org/10.52794/hujpharm.1033112

Safonov AA, Panasenko OI. Synthesis, antimicrobial and antifungal activity of 3-(2-bromophenyl)-5-(alkylthio)-4-phenyl-4H-1,2,4-triazoles. Current issues in pharmacy and medicine: science and practice. 2022;15(3):235-40. doi: https://doi.org/10.14739/2409-2932.2022.3.264691

Sameliuk Y, Kaplaushenko A, Nedorezanıuk N, Ostretsova L, Diakova F, Gutyj B. Prospects for the search for new biologically active compounds among the derivatives of the heterocyclic system of 1,2,4-triazole. Hacettepe Univ J Fac Pharm. 2022;42(3):175-86. doi: https://doi.org/10.52794/hujpharm.1019625

Frolova Y, Kaplaushenko A, Nagornaya N. Design, synthesis, antimicrobial and antifungal activities of new 1,2,4-triazole derivatives containing 1H-tetrazole moiety. Ankara Ecz Fak Derg. 2020;44(1):70-88. doi: https://doi.org/10.33483/jfpau.574001

Khan MZI, Ren JN, Cao C, Ye HY, Wang H, Guo YM, et al. Comprehensive hepatotoxicity prediction: ensemble model integrating machine learning and deep learning. Front Pharmacol.2024;15:1441587. doi: https://doi.org/10.3389/fphar.2024.1441587

Dahmani R, Manachou M, Belaidi S, Chtita S, Boughdiri S. Structural characterization and QSAR modeling of 1,2,4-triazole derivatives as α -glucosidase inhibitors. New J Chem. 2021;45(7): 1253-61. doi: https://doi.org/10.1039/D0NJ05298A

Bhandare RR, Shaik AB. QSAR and molecular docking studies of pyrimidine-coumarin-triazole conjugates as prospective anti-breast cancer agents. Molecules. 2022;27(6):1845. doi: https://doi.org/10.3390/molecules27061845

Elhady SS, Yassen ASA. Synthesis, 3D-QSAR, and Molecular Modeling Studies of Triazole Bearing Compounds as a Promising Scaffold for Cyclooxygenase-2 Inhibition. Pharmaceuticals. 2020;13(11):370. doi: https://doi.org/10.3390/ph13110370

Chen XD, Li JL, Wang XM, Liu R, Liu XY, Shu M. 3D-QSAR, molecular docking and molecular dynamics analysis of pyrazole derivatives as MALT1 inhibitors. New J Chem. 2023;47:19596-607. doi: https://doi.org/10.1039/D3NJ03490A

Skoryi M, Shcherbyna R, Salionov V. Synthesis and biological potential of 1,2,4-triazole derivatives with a 2-bromo-5-methoxyphenyl fragment. In : Proceedings of the Scientific Conference. Zaporizhzhia: Zaporizhzhia State Medical and Pharmaceutical University; 2023. p. 162-164.

Kruhlak NL, Contrera JF, Benz RD, Matthews EJ. Progress in QSAR toxicity screening of pharmaceutical impurities and other FDA regulated products. Adv Drug Deliv Rev. 2007;59(1):43-55. doi: https://doi.org/10.1016/j.addr.2006.10.008

Ruiz P, Begluitti G, Tincher T, Wheeler J, Mumtaz M. Prediction of acute mammalian toxicity using QSAR methods: A case study of sulfur mustard and its breakdown products. Molecules. 2012;17(8):8982-9001. doi: https://doi.org/10.3390/molecules17088982

Daghighi A, Casanola-Martin GM, Timmerman T, Milenković D, Lučić B, Rasulev B. In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR Approach. Toxics. 2022 Dec 1;10(12):746. doi: https://doi.org/10.3390/toxics10120746

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Published

2024-11-08

How to Cite

1.
Skoryi MP, Shcherbyna RO. QSAR prediction of toxicity for a new 1,2,4-triazole derivatives with 2-bromo-5-methoxyphenyl fragment. Current issues in pharmacy and medicine: science and practice [Internet]. 2024Nov.8 [cited 2024Nov.23];17(3):226-30. Available from: http://pharmed.zsmu.edu.ua/article/view/312041