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本文引用的文献

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2
DGIdb 5.0: rebuilding the drug-gene interaction database for precision medicine and drug discovery platforms.DGIdb 5.0:为精准医学和药物发现平台重建药物-基因相互作用数据库。
Nucleic Acids Res. 2024 Jan 5;52(D1):D1227-D1235. doi: 10.1093/nar/gkad1040.
3
Not Always Sticky: Specificity of Protein Stabilization by Sugars Is Conferred by Protein-Water Hydrogen Bonds.并非总是黏附:糖对蛋白质的稳定作用的特异性是由蛋白质-水氢键赋予的。
J Am Chem Soc. 2023 Oct 25;145(42):23308-23320. doi: 10.1021/jacs.3c08702. Epub 2023 Oct 16.
4
Perspectives on Ligand/Protein Binding Kinetics Simulations: Force Fields, Machine Learning, Sampling, and User-Friendliness.配体/蛋白质结合动力学模拟的观点:力场、机器学习、采样和用户友好性。
J Chem Theory Comput. 2023 Sep 26;19(18):6047-6061. doi: 10.1021/acs.jctc.3c00641. Epub 2023 Sep 1.
5
Molecular docking as a tool for the discovery of molecular targets of nutraceuticals in diseases management.分子对接作为一种工具,用于发现疾病管理中营养保健品的分子靶标。
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Discovery of BLU-945, a Reversible, Potent, and Wild-Type-Sparing Next-Generation EGFR Mutant Inhibitor for Treatment-Resistant Non-Small-Cell Lung Cancer.发现 BLU-945,一种针对治疗耐药性非小细胞肺癌的可逆、强效且保留野生型的下一代 EGFR 突变抑制剂。
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The ratio of T790M to EGFR-activating mutation predicts response of osimertinib in 1st or 2nd generation EGFR-TKI-refractory NSCLC.T790M 与 EGFR 激活突变的比值可预测 1 代或 2 代 EGFR-TKI 耐药的 NSCLC 对奥希替尼的反应。
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通过量子力学/分子力学方法研究阿法替尼与表皮生长因子受体(EGFR)结合的热力学及机制

Thermodynamics and mechanism of afatinib-EGFR binding through a QM/MM approach.

作者信息

Kisku Anjali, Wahi Raghav, Mishra Raj Kumar

机构信息

Department of Chemistry, Institute of Science, Banaras Hindu University Varanasi-221005 India

出版信息

RSC Med Chem. 2025 Jul 16. doi: 10.1039/d5md00354g.

DOI:10.1039/d5md00354g
PMID:40756527
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12315720/
Abstract

We compute the different thermodynamic interaction parameters between afatinib, a tyrosine kinase inhibitor, and the epidermal growth factor receptor (EGFR) protein found in the cell membrane of lung epidermal cells and primarily responsible for non-small cell lung cancer (NSCLC). We compare the interaction entropy component (-Δ) of the binding energy obtained through normal mode or Nmode analysis (NMA), interaction entropy (IE), and C2 methods. We observe a much closer value of the binding free energy of the hydrated complex (-19.86 kcal mol) with the experimental value (about -13.00 kcal mol) compared to those obtained through newly developed IE and C2 methods (about -32.96 kcal mol and -35.47 kcal mol, respectively). The present study with molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA) shows the standard deviation of binding energies ( = 3.54 kcal mol) which is an indication of the convergence of binding entropy with a lower value of energy. Advancement in structural biology with appropriate simulation techniques is an essential feature to meet challenges in covalent drug discovery as such drugs have been used to treat various types of cancers.

摘要

我们计算了酪氨酸激酶抑制剂阿法替尼与肺表皮细胞膜中发现的、主要导致非小细胞肺癌(NSCLC)的表皮生长因子受体(EGFR)蛋白之间的不同热力学相互作用参数。我们比较了通过正常模式或正常模式分析(NMA)、相互作用熵(IE)和C2方法获得的结合能的相互作用熵分量(-Δ)。与通过新开发的IE和C2方法获得的值(分别约为-32.96 kcal/mol和-35.47 kcal/mol)相比,我们观察到水合复合物的结合自由能(-19.86 kcal/mol)与实验值(约-13.00 kcal/mol)更为接近。本分子力学/泊松-玻尔兹曼表面积(MM/PBSA)研究显示了结合能的标准偏差( = 3.54 kcal/mol),这表明结合熵在较低能量值时的收敛。运用适当的模拟技术推动结构生物学发展,是应对共价药物研发挑战的关键特性,因为此类药物已被用于治疗各类癌症。