Fatima Munir, Muhammad Bilal Amir, Kashif Hussain, Muhammad Zahid, Jian Zhang
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引用次数: 0
Abstract
The development of allosteric inhibitors is a promising strategy for targeting epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC), especially in cases where orthosteric inhibitors face resistance. However, despite their selective inhibition of EGFR mutations, fourth-generation allosteric inhibitors show limited antiproliferative efficacy without cetuximab. The present study aims to identify potent natural product-derived allosteric inhibitors for NSCLC using a comprehensive approach, including pharmacophore modelling, Lipinski's Rule of Five (Ro5), ADMET profiling, density functional theory, and molecular docking. Experimentally validated EGFR tyrosine kinase inhibitors (TKIs) were used to build a pharmacophore model. The validated pharmacophore model was used to screen the Natural Product Activity and Species Source database. Drug-likeness was assessed using Ro5 and ADMET to predict pharmacokinetic and toxicity profiles for further drug development. Molecular docking studies revealed that the identified natural compounds exhibited more favorable docking scores (−8.74 to −7.87 kcal/mol) than the co-crystallized ligand (−7.32 kcal/mol), indicating significant interactions with the receptor residues. Geometry optimization, electrostatic potential, and frontier molecular orbital analyses were performed to assess potential reactive sites and molecular stability. Molecular dynamics (MD) simulations, subsequent post-MD analyses, and binding free energy calculations provided additional support for these findings. The free-energy landscape revealed stable, favorable binding conformations, suggesting that they may act as allosteric inhibitors. These results highlight the potential of natural compounds to combat resistance to EGFR-TKIs in NSCLC. In particular, compounds 1 and 2 emerged as promising candidates targeting mutant EGFR and warrant further experimental validation as potential leads for NSCLC treatment.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.