Chaochun Wei , Cuicui Ji , Keli Zong , Xiaokun Zhang , Qidi Zhong , Hong Yan , Juan Wang
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引用次数: 0
Abstract
The resistance of growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in non-small cell lung cancer (NSCLC), especially against the EGFR L858R/T790M/C797S mutations, remains an ongoing challenge. In this study, we screened a total of 2.05 million compounds from the ChEMBL database through virtual screening, identifying five promising candidates with high binding affinities and favourable ADMET properties. These candidates were further evaluated through molecular dynamics (MD) simulations, revealing more restricted conformational changes and enhanced stability compared to Osimertinib. Protein-ligand interaction analyses highlighted a broader range of stabilizing interactions in the binding domain. Additionally, the binding free energies of the compounds showed that compounds 1–5 ranged from −34.95 to −45.54 kcal/mol, which were lower compared to Osimertinib (−34.49 kcal/mol), suggesting a stronger binding affinity. Subsequently, density functional theory (DFT) calculations provided further insights into the electronic properties of the compounds, which were essential for understanding the compounds' reactivity and potential interactions with the target protein. In conclusion, the five identified compounds exhibit promising drug-like properties and may serve as lead candidates for the development of new treatments targeting EGFR L858R/T790M/C797S resistance mutations in NSCLC.
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.