Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.
Department of Chemistry, GIS, GITAM Deemed to Be University, Rushikonda, Visakhapatnam, 530045, AP, India.
J Mol Graph Model. 2021 Sep;107:107944. doi: 10.1016/j.jmgm.2021.107944. Epub 2021 May 21.
Computer Aided Drug Design approaches have been applied to predict potential inhibitors for two different kinases, namely, cyclin-dependent kinase 2 (CDK2) and Epidermal Growth Factor Receptor (EGFR) which are known to play crucial role in cancer growth. We have designed alkyl and aryl substituted isatin-triazole ligands and performed molecular docking to rank and predict possible binding pockets in CDK2 and EGFR kinases. Best-scoring ligands in the kinase-binding pocket were selected from the docking study and subjected to molecular dynamics simulation. Absolute binding affinities were estimated from the MD trajectories using the MM/PBSA approach. The results suggest that aryl substituted isatin-triazole ligands are better binder to the kinases relative to its alkyl analogue. Furthermore, aryl substituted isatin-triazole ligands prefer binding to EGFR kinases relative to CDK2. The ligand binding pockets of the kinases are primarily hydrophobic in nature. Ligand-kinase binding is favoured by electrostatic and Van der Waals interactions, later being the major contributor. Large estimated negative binding affinities (~ -10 to -25 kcal/mol) indicate that the ligands might inhibit the kinases. Physicochemical property analysis suggests that the proposed ligands could be orally bio-available.
计算机辅助药物设计方法已被应用于预测两种不同激酶的潜在抑制剂,即细胞周期蛋白依赖性激酶 2(CDK2)和表皮生长因子受体(EGFR),它们在癌症生长中起着至关重要的作用。我们设计了烷基和芳基取代的色酮-三唑配体,并进行了分子对接,以对 CDK2 和 EGFR 激酶中的可能结合口袋进行排序和预测。从对接研究中选择激酶结合口袋中得分最高的配体,并进行分子动力学模拟。使用 MM/PBSA 方法从 MD 轨迹中估计绝对结合亲和力。结果表明,芳基取代的色酮-三唑配体相对于其烷基类似物是更好的激酶结合物。此外,芳基取代的色酮-三唑配体相对于 CDK2 更倾向于与 EGFR 激酶结合。激酶的配体结合口袋主要是疏水性的。配体-激酶结合受静电和范德华相互作用的影响,后者是主要贡献者。估计的较大负结合亲和力(~-10 至-25 kcal/mol)表明,这些配体可能抑制激酶。物理化学性质分析表明,所提出的配体可能具有口服生物利用度。