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探索野生型和T315I BCR-ABL1中的抑制机制:一种整合虚拟筛选、分子动力学模拟和MM-GBSA分析的计算机模拟方法

Exploring Inhibition Mechanisms in Wildtype and T315I BCR-ABL1: An In Silico Approach Integrating Virtual Screening, MD Simulations, and MM-GBSA Analysis.

作者信息

Balta Ozlen, Yilmaz Ercument, Tatar Yilmaz Gizem

机构信息

Department of Hematology, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey.

Department of Bioinformatics, Institute of Health Sciences, Karadeniz Technical University, Trabzon, Turkey.

出版信息

J Comput Chem. 2025 Jan 5;46(1):e27545. doi: 10.1002/jcc.27545.

DOI:10.1002/jcc.27545
PMID:39636243
Abstract

The BCR-ABL tyrosine kinase which is responsible for the pathogenesis of chronic myeloid leukemia (CML), has emerged as a promising therapeutic target. To address this issue, we employed a comprehensive computational approach integrating virtual screening, molecular dynamics (MD) simulations, and MM-GBSA (Molecular Mechanics/Generalized Born Surface Area) analysis to identify potential inhibitors and elucidate their binding mechanisms. Initially, virtual screening was conducted on 994 compounds from the ZINC database and, these compounds were docked against wildtype and T315I mutant ABL1 for the Type I and Type II ABL1 kinase inhibition mechanisms. In our molecular docking analysis for Type I inhibition, compound 911 demonstrated notable affinity towards the wildtype ABL1, with a binding energy of -14.91 kcal/mol, while compound 972 showed significant binding affinity towards the mutant ABL1, with a binding energy of -14.27 kcal/mol. In the Type II inhibition mechanism, the compounds with the highest binding affinity were compound 261 in wildtype ABL1 with -17.05 kcal/mol binding energy and compound 966 to the mutant ABL1 with a binding energy of -16.29 kcal/mol. Furthermore, analyses of MD simulations and MM/GBSA binding free energy (ΔG) were performed for target proteins with compounds, that exhibited the most favorable binding affinities with target proteins. The selected hit compounds showed ΔG scores ranging from -118.09 to -74.85 kJ/mol in both wildtype and mutant ABL1. Considering all in silico studies performed, it can be inferred that the identified molecules hold promise as potential candidates for drug design aimed at targeting CML.

摘要

负责慢性髓性白血病(CML)发病机制的BCR-ABL酪氨酸激酶已成为一个有前景的治疗靶点。为解决这一问题,我们采用了一种综合计算方法,整合虚拟筛选、分子动力学(MD)模拟和MM-GBSA(分子力学/广义玻恩表面积)分析,以识别潜在抑制剂并阐明其结合机制。最初,对来自ZINC数据库的994种化合物进行了虚拟筛选,并将这些化合物针对野生型和T315I突变型ABL1进行对接,以研究I型和II型ABL1激酶抑制机制。在我们针对I型抑制的分子对接分析中,化合物911对野生型ABL1表现出显著亲和力,结合能为-14.91 kcal/mol,而化合物972对突变型ABL1表现出显著结合亲和力,结合能为-14.27 kcal/mol。在II型抑制机制中,结合亲和力最高的化合物是野生型ABL1中的化合物261,结合能为-17.05 kcal/mol,以及突变型ABL1中的化合物966,结合能为-16.29 kcal/mol。此外,对与靶蛋白表现出最有利结合亲和力的化合物进行了MD模拟和MM/GBSA结合自由能(ΔG)分析。所选的命中化合物在野生型和突变型ABL1中的ΔG分数范围为-118.09至-74.85 kJ/mol。综合所有计算机模拟研究,可以推断出所鉴定的分子有望成为针对CML的药物设计潜在候选物。

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