Abstract Cancer causes innumerable deaths every year globally. Breast cancer and non-small cell lung carcinoma are the most prevalent worldwide. EGFR-TKD is a neoplastic survival therapeutic target in a wide… Click to show full abstract
Abstract Cancer causes innumerable deaths every year globally. Breast cancer and non-small cell lung carcinoma are the most prevalent worldwide. EGFR-TKD is a neoplastic survival therapeutic target in a wide array of carcinoma cells. Various non-specific tyrosine kinase inhibitors lead to hyperphosphorylation and overexpression of EGFR-TKD and further mutations recognise deletion of exon 19. In this work, we study the binding affinity, binding stability, and strength of hydroxy-3-(4-hydroxyphenyl)-5-(4-nitrophenyl)-5,5a,7,8,9,9a-hexahydrothiazolo[2,3-b] quinazolin-6-one with TMLR mutated EGFR-TKD (T790M/L858R). The collective motions, residual mobility, and flexibility of TMLR mutated EGFR-TKD bound with reference and title molecule were calculated by principal component analysis. The meta-state conformations of both the simulated complexes were determined by Gibb’s energy landscape analysis. The binding affinity exhibited by thiazolo-[2,3-b] quinazolinone and the reference molecule was found to be −7.95 ± 0.088 Kcal/mol and −9.13 ± 0.018 kcal/mol with TMLR mutated EGFR-TKD. The alignment of both the docked complexes was done by blosum40 matrix. Similar spatial orientations were exhibited by the synthesised ligand in the binding pocket of TMLR mutated EGFR-TKD, corresponding to the reference ligand. The ligand stability was computed for 100 ns. In addition, the radius of gyration, solvent accessible surface area, hydrogen bonds formed was calculated. The average ΔGbind of thiazolo-[2,3-b] quinazolinone was −41.212 ± 0.834 kJ/mol and for reference ligand −71.938 ± 0.367 kJ/mol, calculated by MM-PBSA. ADMET analysis concludes thiazolo-[2,3-b] quinazolinone derivative is safe. Further research work is encouraged to determine the efficacy of thiazolo-[2,3-b] quinazolinone against in vivo models. Communicated by Ramaswamy H. Sarma
               
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