对接(动物)
化学
蛋白质-配体对接
靶蛋白
配体(生物化学)
蛋白质功能
蛋白质-蛋白质相互作用
表面蛋白
计算生物学
药物发现
药品
蛋白质结构
血浆蛋白结合
溶剂
蛋白质配体
组合化学
生物化学
虚拟筛选
药理学
生物
受体
医学
护理部
病毒学
基因
作者
Gonzalo F. Mayol,Lucas A. Defelipe,Juan Pablo Arcon,Adrián G. Turjanski,Marcelo A. Martí
标识
DOI:10.1021/acs.jcim.2c00264
摘要
Protein-protein interactions (PPIs) are essential, and modulating their function through PPI-targeted drugs is an important research field. PPI sites are shallow protein surfaces readily accessible to the solvent, thus lacking a proper pocket to fit a drug, while their lack of endogenous ligands prevents drug design by chemical similarity. The development of PPI-blocking compounds is, therefore, a tough challenge. Mixed solvent molecular dynamics has been shown to reveal protein-ligand interaction hot spots in protein active sites by identifying solvent sites (SSs). Furthermore, our group has shown that SSs significantly improve protein-ligand docking. In the present work, we extend our analysis to PPI sites. In particular, we analyzed water, ethanol, and phenol-derived sites in terms of their capacity to predict protein-drug and protein-protein interactions. Subsequently, we show how this information can be incorporated to improve both protein-ligand and protein-protein docking. Finally, we highlight the presence of aromatic clusters as key elements of the corresponding interactions.
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