利用片段中心定位策略探索首个靶向蛋白选择性抑制剂的意义

Xie-Huang Sheng, Jia-Hui Zhao, Shaolong Zhang, Xia Zhou, Xian-Mei Meng, Ting-an Wang
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引用次数: 0

摘要

鉴定第一种选择性抑制剂,也称为“撞击分子”,对于开发针对蛋白质目标的药物至关重要。然而,蛋白质-配体复合物的晶体结构通常由于该过程耗时和昂贵的性质而不能及时解决。然而,这并不妨碍科学家了解蛋白质-配体相互作用的结合模式的迫切优点和缺点,以指导命中分子的优化。在这里,我们开发了一种以口袋为中心的计算策略,以促进对蛋白质靶标的击中分子的全面理解。结果表明,以口袋为中心的映射方法不仅可以准确预测原生对接姿态和深入分析结合模式,而且具有快速识别部分未占用、未利用但可定位的口袋以提供优化命中分子的潜力。我们测试了第一个选择性抑制剂表没食子儿茶素没食子酸酯(EGCG)对人芳基乙酰胺去乙酰化酶(AADAC)的策略。通过分子动力学模拟和MM/PBSA结合能计算验证了该策略的有效性。结果表明,以口袋为中心的映射方法不仅可以准确预测原生对接姿态和深入分析结合模式,而且具有快速识别部分未占用、未利用但可定位的口袋以提供优化命中分子的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The implication of fragment-centric mapping strategy to explore the first selective inhibitor against target protein
Identification of the first selective inhibitor, also called “hit molecules, " is crucial for developing drugs against a protein target. However, the crystal structures of protein-ligand complexes are usually not resolved in time due to the process's time-consuming and costly nature. However, it does not prevent scientists from understanding the binding modes’ urgent advantages and drawbacks of protein-ligand interaction to guide the optimization of hit molecules. Here, we have developed a pocket-centric computational strategy to facilitate a comprehensive understanding of the hit molecules against the protein target. The results show that the pocket-centered mapping method not only allows for accurate prediction of the native docking pose and in-depth analysis of the binding mode but also has the potential of rapidly identifying partially unoccupied, unutilized, but targetable pockets to afford optimized hit molecules. We tested the strategy on the first selective inhibitor, epigallocatechin gallate (EGCG), against human arylacetamide deacetylase (AADAC). Molecular dynamics simulation and MM/PBSA binding energy calculation are used to verify the efficacy of the strategy. The results show that the pocket-centered mapping method not only allows for accurate prediction of the native docking pose and in-depth analysis of the binding mode but also has the potential of rapidly identifying partially unoccupied, unutilized, but targetable pockets to afford optimized hit molecules.
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