Kalusing S. Padvi, Aniket P. Sarkate, Shashikant V. Bhandari, Mahadevi V. Kendre
{"title":"利用二维和三维 QSAR、分子对接和 ADME 性能开发潜在的抗糖尿病药物 α 淀粉酶抑制剂的室内研究","authors":"Kalusing S. Padvi, Aniket P. Sarkate, Shashikant V. Bhandari, Mahadevi V. Kendre","doi":"10.2174/0115701808279839240206123454","DOIUrl":null,"url":null,"abstract":"Background: A series of 2-arylbenzimidazole derivatives were designed and developed as antidiabetic drugs using 2D and 3D QSAR, molecular docking and ADME studies. background: A series of 2-arylbenzimidazole derivatives were designed and developed as antidiabetic drugs using 2D and 3D QSAR, molecular docking and ADME studies. Methods: All molecular modeling studies were performed using Molecular Design Suite V-Life MDS software. New chemical entities (NCEs) were designed based on the results of 2D and 3D QSAR studies. Docking studies were performed with the designed NCEs in PDB: 5E0F and the results were compared with the receptor ligand. According to the ADME results, all the proposed compounds have good oral absorption, correct molecular weight, QPlogPo/w. All units show oral absorption above 80%, it is considered well absorbed. All the proposed units show satisfactory results in the area. This indicated that these NCEs have little or no chance of failure in the final stages of the drug development process. Results: The 2D QSAR results showed that the descriptor k2alpha, T_T_N_5, IodinesCount and BrominesCount play the most important role in determining the inhibitory activity of α-amylase. Although 3D QSAR showed that, the q2 and Pred_r2 values of the model (SA kNN MFA model) were 0.7476 and 0.6932. The G score of the proposed compound numbers mol-1, mol-2, mol-3, mol- 4, mol-5, mol-6, mol-7 and mol-8 are better compared to the standards, indicating that the proposed compounds have good binding properties affinity to bind to α-amylase. Conclusion: These investigations have produced statistically significant and exceptionally reliable 2D and 3D Quantitative Structure-Activity Relationship (QSAR) models for antidiabetic medications, particularly α-amylase inhibitors. Furthermore, docking experiments involving the α-amylase enzyme have revealed that the binding energies of most Novel Chemical Entities (NCEs) are comparable to those of the established standards. Docking studies with α-amylase enzyme showed that most NCEs have binding energies comparable to the standard.","PeriodicalId":18059,"journal":{"name":"Letters in Drug Design & Discovery","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of Potential Antidiabetic Agents Using 2D and 3D QSAR, Molecular Docking and ADME Properties In-silico Studies of α-Amylase Inhibitors\",\"authors\":\"Kalusing S. Padvi, Aniket P. Sarkate, Shashikant V. Bhandari, Mahadevi V. Kendre\",\"doi\":\"10.2174/0115701808279839240206123454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: A series of 2-arylbenzimidazole derivatives were designed and developed as antidiabetic drugs using 2D and 3D QSAR, molecular docking and ADME studies. background: A series of 2-arylbenzimidazole derivatives were designed and developed as antidiabetic drugs using 2D and 3D QSAR, molecular docking and ADME studies. Methods: All molecular modeling studies were performed using Molecular Design Suite V-Life MDS software. New chemical entities (NCEs) were designed based on the results of 2D and 3D QSAR studies. Docking studies were performed with the designed NCEs in PDB: 5E0F and the results were compared with the receptor ligand. According to the ADME results, all the proposed compounds have good oral absorption, correct molecular weight, QPlogPo/w. All units show oral absorption above 80%, it is considered well absorbed. All the proposed units show satisfactory results in the area. This indicated that these NCEs have little or no chance of failure in the final stages of the drug development process. Results: The 2D QSAR results showed that the descriptor k2alpha, T_T_N_5, IodinesCount and BrominesCount play the most important role in determining the inhibitory activity of α-amylase. Although 3D QSAR showed that, the q2 and Pred_r2 values of the model (SA kNN MFA model) were 0.7476 and 0.6932. The G score of the proposed compound numbers mol-1, mol-2, mol-3, mol- 4, mol-5, mol-6, mol-7 and mol-8 are better compared to the standards, indicating that the proposed compounds have good binding properties affinity to bind to α-amylase. Conclusion: These investigations have produced statistically significant and exceptionally reliable 2D and 3D Quantitative Structure-Activity Relationship (QSAR) models for antidiabetic medications, particularly α-amylase inhibitors. Furthermore, docking experiments involving the α-amylase enzyme have revealed that the binding energies of most Novel Chemical Entities (NCEs) are comparable to those of the established standards. 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Development of Potential Antidiabetic Agents Using 2D and 3D QSAR, Molecular Docking and ADME Properties In-silico Studies of α-Amylase Inhibitors
Background: A series of 2-arylbenzimidazole derivatives were designed and developed as antidiabetic drugs using 2D and 3D QSAR, molecular docking and ADME studies. background: A series of 2-arylbenzimidazole derivatives were designed and developed as antidiabetic drugs using 2D and 3D QSAR, molecular docking and ADME studies. Methods: All molecular modeling studies were performed using Molecular Design Suite V-Life MDS software. New chemical entities (NCEs) were designed based on the results of 2D and 3D QSAR studies. Docking studies were performed with the designed NCEs in PDB: 5E0F and the results were compared with the receptor ligand. According to the ADME results, all the proposed compounds have good oral absorption, correct molecular weight, QPlogPo/w. All units show oral absorption above 80%, it is considered well absorbed. All the proposed units show satisfactory results in the area. This indicated that these NCEs have little or no chance of failure in the final stages of the drug development process. Results: The 2D QSAR results showed that the descriptor k2alpha, T_T_N_5, IodinesCount and BrominesCount play the most important role in determining the inhibitory activity of α-amylase. Although 3D QSAR showed that, the q2 and Pred_r2 values of the model (SA kNN MFA model) were 0.7476 and 0.6932. The G score of the proposed compound numbers mol-1, mol-2, mol-3, mol- 4, mol-5, mol-6, mol-7 and mol-8 are better compared to the standards, indicating that the proposed compounds have good binding properties affinity to bind to α-amylase. Conclusion: These investigations have produced statistically significant and exceptionally reliable 2D and 3D Quantitative Structure-Activity Relationship (QSAR) models for antidiabetic medications, particularly α-amylase inhibitors. Furthermore, docking experiments involving the α-amylase enzyme have revealed that the binding energies of most Novel Chemical Entities (NCEs) are comparable to those of the established standards. Docking studies with α-amylase enzyme showed that most NCEs have binding energies comparable to the standard.
期刊介绍:
Aims & Scope
Letters in Drug Design & Discovery publishes letters, mini-reviews, highlights and guest edited thematic issues in all areas of rational drug design and discovery including medicinal chemistry, in-silico drug design, combinatorial chemistry, high-throughput screening, drug targets, and structure-activity relationships. The emphasis is on publishing quality papers very rapidly by taking full advantage of latest Internet technology for both submission and review of manuscripts. The online journal is an essential reading to all pharmaceutical scientists involved in research in drug design and discovery.