Department of Chemical Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
R. C. Patel College of Pharmacy, R. C. Patel Institute of Pharmaceutical Education & Research, Shirpur, India.
J Biomol Struct Dyn. 2021 Sep;39(15):5376-5398. doi: 10.1080/07391102.2020.1786460. Epub 2020 Jul 1.
The mutations concerned with non-small cell lung cancer involving epidermal growth factor receptor of tyrosine kinase family have primarily targeted. EGFR inhibitors binding allosterically to C797S mutant EGFR enzyme have been developed. Here, database building, library screening performing R-group enumeration and scaffold hopping technique for increasing the EGFR binding affinity of compounds have been carried out. Virtual screening was performed subjecting to HTVS, SP and XP docking protocol along with its relative binding free energy calculations. Molecular docking studies provided the information about binding pockets and interactions of molecules on mutant (PDB: 5D41) as well as wild type (PDB: 4I23) EGFR enzyme. This was supported with ADMET and molecular simulation studies. On the basis of glide score and protein-ligand interactions, highest scoring molecule was selected for molecular dynamic simulation providing a complete insight into the conformational stability. The virtually screened molecules can act as potential EGFR inhibitors in the management of drug resistance. Communicated by Ramaswamy H. Sarma.
针对涉及酪氨酸激酶家族表皮生长因子受体的非小细胞肺癌的突变,已经开发出了靶向作用于别构结合 C797S 突变表皮生长因子受体酶的 EGFR 抑制剂。在这里,我们进行了数据库构建、库筛选、R 基团枚举以及骨架跃迁技术,以提高化合物与 EGFR 的结合亲和力。虚拟筛选采用了 HTVS、SP 和 XP 对接方案,并进行了相对结合自由能计算。分子对接研究提供了关于突变型(PDB:5D41)和野生型(PDB:4I23)表皮生长因子受体酶上分子结合口袋和相互作用的信息。这得到了 ADMET 和分子模拟研究的支持。基于对接评分和蛋白-配体相互作用,选择得分最高的分子进行分子动力学模拟,提供了对构象稳定性的全面了解。经虚拟筛选的分子可作为潜在的表皮生长因子受体抑制剂,用于管理耐药性。由 Ramaswamy H. Sarma 传达。