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Journal of Biomolecular Structure and Dynamics 2020-Jun

Identification of luteolin -7-glucoside and epicatechin gallate from Vernonia cinerea, as novel EGFR L858R kinase inhibitors against lung cancer: Docking and simulation-based study

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Линкът е запазен в клипборда
Priyanka Maiti
Mahesha Nand
Tushar Joshi
Muthannan Ramakrishnan
Subhash Chandra

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Резюме

Lung cancer ranks number one among the all cancer types in the world, out of which 85% are non-small cell lung cancer (NSCLC). In case of NSCLC, a substitution mutation of Leu 858 Arg (L858R) in the gene of Epidermal Growth Factor Receptor (EGFR) has been reported. Hence, targeting EGFR containing L858R mutation using inhibitors is well reported strategy to discover potential drugs against NSCLC. The present work aims to identify the potent inhibitors against EGFR L858R from Vernonia cinerea plant. A library of 45 phytochemicals was subjected to virtual screening using rigid and flexible docking. 12 potential phytochemicals were screened by molecular docking with high binding energy (between -8.0 and -9.7 kcal mol-1). Two compounds viz., luteolin -7-glucoside and epicatechin gallate showed interaction with Met793 of EGFR-L858R which was similar to the reference inhibitor PD168393. To analyze the stability of the luteolin -7-glucoside and epicatechin gallate with EGFR L858R, molecular dynamics simulations were conducted in explicit water conditions using 60 nanosecond. The results of hydrogen bonding patterns, radius of gyration, deviations in conformational elements, fluctuations in the residual components, and solvent accessible surface area revealed better stability of luteolin -7-glucoside and epicatechin gallate with EGFR-L858R as compared to PD168393. Therefore, we conclude that luteolin -7-glucoside and epicatechin gallate have excellent inhibition properties thus they can be used further to develop effective drugs against lung cancer having EGFR-L858R mutation.Communicated by Ramaswamy H. Sarma.

Keywords: Lung cancer; molecular docking; molecular dynamics simulation; natural inhibitors; non-small-cell lung cancer.

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