Computational Study of Novel Natural Inhibitors Targeting Kirsten Rat Sarcoma Viral Oncogene Homolog (KRAS) G12C

Abstract Lung adenocarcinoma is one of the most aggressive and rapidly fatal type of malignant lung tumor. Molecular docking and virtual screening were effectively and systematically used to identify specific targets in malignant tumors and screen potential drugs. Here, we screen perfect leading compounds from a medicate library (ZINC15 database) and analyze their properties (conveyance, absorption, metabolism, and excretion and harmless forecasts) with potential inhibition of Kirsten Rat Sarcoma Viral Oncogene Homolog G12C. Further results demonstrated that ZINC000013817014 and ZINC000004098458 were screened out from the ZINC15 database and were identified to have a much better binding affinity and more favorable interaction vitality binding with KRAS G12C and less rat carcinogenicity, Ames mutagenicity, way better dissolvability in water and non-inhibition with cytochrome P-450 2D6. Molecular dynamics simulation analysis indicated that the binding capacity of these two compounds and KRAS G12C, ZINC000013817014-KRAS G12C and ZINC000004098458-KRAS G12C is stable in the natural environment. Our findings reveal that ZINC000013817014 and ZINC000004098458 were perfect leading compounds to be inhibitions binding with KRAS G12C, which were selected as safe drug candidates and a cornerstone for KRAS G12C related medicine plan and improvement. It establishes a solid framework for systematic anticancer medication research and development.