Jul 2026· Journal of Biomolecular Structure and Dynamics· pp.
1-20
· 0 citations· 42 references
Medicine
TL;DR
Docking predicted stronger binding to wild-type EGFR and reduced affinity for the T790M mutant, whereas co-binding produced compound-dependent improvements, and an integrated framework provides structural, dynamic, and energetic criteria for prioritize cooperative allosteric-orthosteric co-binding chemotypes for experimental validation.
Abstract
Drug resistance in epidermal growth factor receptor (EGFR)-mutant cancers commonly arises from kinase-domain substitutions that remodel the adenosine triphosphate binding pocket and reduce complementarity to orthosteric inhibitors, with the T790M gatekeeper mutation posing a major challenge. This study evaluated whether pre-occupying a proximal allosteric pocket with selected phytochemicals could bias mutant EGFR toward drug-compatible conformations and improve inhibitor binding. A two-phase computational workflow was employed: (i) molecular docking of gefitinib and erlotinib to wild-type and mutant EGFR; and (ii) allosteric pre-docking of phytochemicals followed by redocking of the ATP-site inhibitor. Top-ranked complexes were advanced to 200-nanosecond all-atom molecular dynamics simulations in explicit solvent and end-state binding free-energy estimation using Molecular Mechanics Generalized Born Surface Area (MM/GBSA). Docking predicted stronger binding to wild-type EGFR and reduced affinity for the T790M mutant, whereas co-binding produced compound-dependent improvements. Simulations suggested partial stabilization of the protein-ligand complexes, characterized by reduced root mean square deviation, damped hinge and αC-helix motions, reduced solvent exposure, and radii of gyration approaching wild-type behavior. Binding free energies improved from -12.6 to -17.6 kcal mol-1 (Genistein) and -19.58 kcal mol-1 (Tupichinols C) for gefitinib, and from -13.4 to -18.1 and -20.1 kcal mol-1, respectively, for erlotinib. Absorption, distribution, metabolism, excretion, and toxicity screening supported the developability of the leading candidates. This integrated framework provides structural, dynamic, and energetic criteria for prioritize cooperative allosteric-orthosteric co-binding chemotypes for experimental validation.
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Kousik K. Bhanja, Rajesh Ghosh, Niladri Patra· Journal of Physical Chemistr...· 0 citations
A number of lead candidates with strong EGFR inhibitory potential, promising pharmacokinetic profiles, and mutant selectivity were successfully identified by the integrated computational approach.
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The structural and medicinal chemistry principles underlying (i) allosteric inhibition and (ii) proximity-induced degradation are summarized, with an emphasis on design logic, structure-activity relationships, and key liabilities in the beyond rule of five space.
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It is established that allosteric EGFR inhibition represents a clinically viable strategy for addressing osimertinib resistance, with lead candidates ready for clinical translation.
Ibrahim Mohammed Hepishy, Mo'men Salem, A. El-Morsy et al.· Bioorganic chemistry (Print)· 0 citations
This study provides potential lead compounds for the design of small-molecule allosteric drugs targeting class B1 GPCRs and performs conformational sampling and combined dynamic pocket detection algorithms, MDpocket and FTMove, to identify six characteristic cryptic pockets within the dynamic trajectories.
Zhi Dong, Long Cheng, Qingxin Shi et al.· International Journal of Bio...· 0 citations
A molecular modeling study integrating molecular dynamics and free energy calculation was conducted to comprehend the distinct binding manner of Lazertinib binding to EGFR and the structural need for the inhibitory activity, and confirms that Lazertinib preferentially binds to EGFRT790M with the same conformation as in...