Identification of novel inhibitors targeting EGFR L858R/T790M/C797S against NSCLC by molecular docking, MD simulation, and DFT approaches

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Chaochun Wei , Cuicui Ji , Keli Zong , Xiaokun Zhang , Qidi Zhong , Hong Yan , Juan Wang
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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 15 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.

Abstract Image

通过分子对接、MD模拟和DFT方法鉴定靶向EGFR L858R/T790M/C797S抗NSCLC的新型抑制剂
生长因子受体酪氨酸激酶抑制剂(EGFR- tkis)在非小细胞肺癌(NSCLC)中的耐药性,特别是对EGFR L858R/T790M/C797S突变的耐药性仍然是一个持续的挑战。在这项研究中,我们通过虚拟筛选从ChEMBL数据库中筛选了总计205万种化合物,确定了5种具有高结合亲和力和良好ADMET特性的候选化合物。这些候选药物通过分子动力学(MD)模拟进一步评估,与奥西替尼相比,揭示了更有限的构象变化和更高的稳定性。蛋白质-配体相互作用分析强调了结合域中更广泛的稳定相互作用。化合物1 ~ 5的结合自由能在−34.95 ~−45.54 kcal/mol之间,低于奥西替尼(−34.49 kcal/mol),表明化合物具有更强的结合亲和力。随后,密度泛函理论(DFT)计算提供了对化合物电子性质的进一步了解,这对于理解化合物的反应性和与目标蛋白的潜在相互作用至关重要。综上所述,这5种化合物具有很好的药物样特性,可能成为开发针对NSCLC中EGFR L858R/T790M/C797S耐药突变的新疗法的主要候选药物。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
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.
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