化学
对接(动物)
虚拟筛选
小分子
靶蛋白
结合亲和力
配体(生物化学)
分子
配体效率
蛋白质配体
计算生物学
纳米技术
分子动力学
组合化学
计算机科学
计算化学
生物化学
受体
材料科学
护理部
医学
有机化学
基因
生物
作者
X. D. Sheng,Jiahui Zhao,Shaolong Zhang,Zhou Xia,Xianmei Meng,Ting Wang
标识
DOI:10.2174/1570180820666230505124327
摘要
Introduction: 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. Methods: Here, we have developed a pocket-centric computational strategy to facilitate a comprehensive understanding of the hit molecules against the protein target. Results: 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. Conclusion: 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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