可药性
药物发现
计算生物学
计算机科学
背景(考古学)
数据科学
蛋白质-蛋白质相互作用
蛋白质相互作用网络
生物信息学
药品
生物
药理学
遗传学
生物化学
基因
古生物学
作者
Jiaxin Liu,Xiao Zhang,Yuanqin Huang,Ge‐Fei Hao,Guang‐Fu Yang
标识
DOI:10.1016/j.drudis.2024.103979
摘要
Drug discovery often begins with a new target. Protein-protein interactions (PPIs) are crucial to multitudinous cellular processes and offer a promising avenue for drug-target discovery. PPIs are characterized by multi-level complexity: at the protein level, interaction networks can be used to identify potential targets, whereas at the residue level, the details of the interactions of individual PPIs can be used to examine a target's druggability. Much great progress has been made in target discovery through multi-level PPI-related computational approaches, but these resources have not been fully discussed. Here, we systematically survey bioinformatics tools for identifying and assessing potential drug targets, examining their characteristics, limitations and applications. This work will aid the integration of the broader protein-to-network context with the analysis of detailed binding mechanisms to support the discovery of drug targets.
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