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Desai SP, Mohite S, Alobid S, Saralaya M, Patil AS, Das K, Almadani ME, Arif Hussain S, Hussain Alamer B, Abdulrahman Jibreel E, Ibrahim Almoteer A, Mohammed Basheeruddin Asdaq S. 3D QSAR study on substituted 1, 2, 4 triazole derivatives as anticancer agents by kNN MFA approach. Saudi Pharm J 2023; 31:101836. [PMID: 38028224 PMCID: PMC10661185 DOI: 10.1016/j.jsps.2023.101836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
Background and objectives Researchers have recently focused on the biological and synthetic effects of 1, 2, and 4-triazole fused heterocyclic molecules because they have tremendous medicinal value. The objective of the present study was to carry out the 3D QSAR evaluation on the substituted 1,2, and 4 triazole derivatives for anticancer potential using k-Nearest Neighbor-Molecular Field Analysis (kNN-MFA) method. Methods Using the molecular design suite, a three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis was undertaken on a series of 4-amino-5-(pyridin3yl)-4H-1, 2, and 4-triazole-3-thiol anticancer drugs (Vlife MDS). This study used a genetic algorithm and a manual selection approach on 20 substituted 1, 2, and 4-triazole derivatives. Based on the genetic algorithm (GA), the 3D-QSAR model was generated. Statistical significance and predictive capacity were evaluated using internal and external validation. Results The most significant model has a correlation coefficient of 0.9334 (squared correlation coefficient r2 = 0.8713), showing that biological activity and descriptors have a strong relationship. The model exhibited internal predictivity of 74.45 percent (q2 = 0.2129), external predictivity of 81.09 percent (pred r2 = 0.8417), and the smallest error term for the predictive correlation coefficient (pred r2se = 0.1255). The model revealed steric (S 1047--0.0780--0.0451S 927) and electrostatic (E 1002) data points that contribute remarkably to anticancer activity. A molecular field study demonstrates a link between the structural features of substituted triazole derivatives and their activities. Conclusion The good-to-moderate anticancer potential of compounds confirms the significant pharmacological role of 1,2,4-triazole derivatives. These results could lead to the identification of potential chemical compounds with optimal anticancer activity and minimal side effects.
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Affiliation(s)
- Shailaja P. Desai
- Annasaheb Dange College of Pharmacy, Ashta, Maharashtra, Walwa, Sangli 416301, India
| | - S.K. Mohite
- Department of Pharmaceutical Chemistry, Rajarambapu College of Pharmacy, Kasegaon, Sangli, Maharashtra 415409, India
| | - Saad Alobid
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia
| | - M.G. Saralaya
- Annasaheb Dange College of Pharmacy, Ashta, Maharashtra, Walwa, Sangli 416301, India
| | - Ashwini S Patil
- Annasaheb Dange College of Pharmacy, Ashta, Maharashtra, Walwa, Sangli 416301, India
| | - Kuntal Das
- Department of Pharmacognosy, Mallige College of Pharmacy, #71 Silvepura Chikkabanavara Post, Bangalore 90, India
| | - Moneer E. Almadani
- Department of Clinical Medicine, College of Medicine, AlMaarefa University, Dariyah, Riyadh 13713, Saudi Arabia
| | - Syed Arif Hussain
- Respiratory Care Department, College of Applied Sciences, AlMaarefa University, Dariyah 13713, Riyadh, Saudi Arabia
| | - Bader Hussain Alamer
- Department of Emergency Medical Services, College of Applied Sciences, AlMaarefa University, Riyadh, Saudi Arabia
| | - Ebtesam Abdulrahman Jibreel
- Department of Nursing, College of Applied Sciences, AlMaarefa University, Dariyah 13713, Riyadh, Saudi Arabia
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Luo-nan X, Gui-Zhao L, Zhi-liang L, Juan W, Peng Z. Three-dimensional holographic vector of atomic interaction field for quantitative structure–activity relationship of Aza-bioisosteres of anthrapyrazoles (Aza-APs). J Mol Graph Model 2008; 26:1252-8. [DOI: 10.1016/j.jmgm.2007.11.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2007] [Revised: 11/20/2007] [Accepted: 11/24/2007] [Indexed: 11/16/2022]
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