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Mutant-Selective Binding of Phyllanthus niruri Phytochemicals to EGFR T790M: A Quantum-Classical Mechanistic Study

Jul 2026 · International Journal of Molecular Sciences · Vol 27 · 0 citations · 193 references
Medicine

TL;DR

Multiscale quantum-classical in silico predictions of Phyllanthus niruri phytochemicals as non-covalent EGFR T790M binders warranting experimental validation as T790M-directed agents in HCC are presented.

Abstract

Epidermal growth factor receptor (EGFR) mutations drive hepatocellular carcinoma (HCC) progression, and the T790M gatekeeper substitution is the predominant mechanism of acquired resistance to EGFR-targeted therapies. Herein, we present multiscale quantum-classical in silico predictions of Phyllanthus niruri phytochemicals as non-covalent EGFR T790M binders, employing molecular docking, 100 ns molecular dynamics, MM-PBSA/MM-GBSA, per-residue decomposition, PCA/LDA, DFT at B3LYP-D3(BJ)/def2-TZVP, and comparative wild-type EGFR simulations. Five phytochemicals exhibited computationally predicted binding affinities against EGFR T790M exceeding the non-covalent binding component of osimertinib (−25.74 kcal/mol): corilagin (−53.71 ± 5.05 kcal/mol), eriodictyol-7-rhamnopyranoside (−44.35 ± 4.51 kcal/mol), isoquercetin (−44.23 ± 2.92 kcal/mol), rutin (−42.15 ± 4.50 kcal/mol), and kaempferol-4-rhamnoside (−41.68 ± 3.69 kcal/mol). Wild-type EGFR simulations (PDB 1M17) yielded a selectivity index (IS) of 2.76 for corilagin (ΔΔGbind = +34.22 kcal/mol), indicating T790M-preferential binding. Osimertinib reproduced its clinically established T790M selectivity under identical conditions (IS = 1.43; ΔΔGbind = +7.74 kcal/mol), providing internal methodological validation. DFT at B3LYP-D3(BJ)/def2-TZVP established the quantum-mechanical basis for corilagin’s electrostatic affinity: its molecular electrostatic potential (MEP) surface minimum (Vs,min = −46.92 kcal/mol) directly predicts the largest MM-PBSA electrostatic term (ΔEele = −52.48 kcal/mol), establishing quantum-classical coherence. Supervised PCA/LDA of 7416 MM-PBSA trajectory frames identified solvation energy (ΔGSOLV) as the primary pharmacological class discriminant, with the first discriminant function (LD1) capturing 93.1% of inter-class binding variance. Collectively, corilagin (hydrolyzable tannin), eriodictyol-7-rhamnopyranoside (flavonoid glycoside), and phyltetralin (lignan) constitute diverse computational leads from P. niruri warranting experimental validation as T790M-directed agents in HCC.

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