Deciphering the Mechanism of Binding Selectivity of Chlorofluoroacetamide-Based Covalent Inhibitors toward L858R/T790M Resistance Mutation.

Akher, F. B. and Farrokhzadeh, A. and Ravenscroft, N. and Kuttel, M. M. (2022) Deciphering the Mechanism of Binding Selectivity of Chlorofluoroacetamide-Based Covalent Inhibitors toward L858R/T790M Resistance Mutation., J. Chem. Inf. Model., 62, 997-1013, American Chemical Society.

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Abstract

Covalent modification of the oncogenic mutant epidermal growth factor receptor (EGFR) by small molecules is an efficient strategy for achieving an enhanced and sustained pharmacological effect in the treatment of non-small-cell lung cancer. NSP-037 (18), an irreversible inhibitor of the L858R/T790M double-mutant EGFR (EGFRDM) using α-chlorofluoroacetamide (CFA) as a novel warhead, has seven times the inhibition selectivity for EGFRDM over the wild type (EGFRWT), as compared to clinically approved osimertinib (7). Here, we employ multiple computational approaches to elucidate the mechanism underlining this improved selectivity, as well as the effect of CFA on the selectivity enhancement of inhibitor 18 over 7. We find that EGFRDM undergoes significantly larger conformational changes than EGFRWT upon binding to 18. The conformational stability of the diamine side chain and the CFA motif of 18 in the orthosteric site of EGFRDM is identified as key for the disparate binding mechanism and inhibitory prowess of 18 with respect to EGFRWT and EGFRDM and 18’s higher selectivity than 7. The binding free energy of the 18-bound complexes is −6.38 kcal/mol greater than that of the 7-bound complexes, explaining the difference in selectivity of these inhibitors. Further, free energy decomposition analysis indicates that the electrostatic contribution of key residues plays an important role in the 18-bound complexes. QM/MM calculations show that the most favored mechanism for the Cys797 alkylation reaction is the direct displacement mechanism through a CFA-based inhibitor, producing a reaction with the lowest energy barrier and most stable product.

Item Type:	Journal article (paginated)
Subjects:	Computing methodologies > Modeling and simulation > Simulation types and techniques > Molecular simulation Applied computing > Physical sciences and engineering > Chemistry
Date Deposited:	17 Sep 2022 08:51
Last Modified:	17 Sep 2022 08:51
URI:	https://pubs.cs.uct.ac.za/id/eprint/1535

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