药效团
指纹(计算)
生物信息学
计算机科学
化学数据库
虚拟筛选
铅(地质)
数据挖掘
药物发现
计算生物学
人工智能
生物信息学
化学
生物
基因
古生物学
生物化学
作者
Jingbo Yang,Yiyang Cai,Kairui Zhao,Hongbo Xie,Xiujie Chen
标识
DOI:10.1016/j.drudis.2022.103356
摘要
Molecular fingerprints are used to represent chemical (structural, physicochemical, etc.) properties of large-scale chemical sets in a low computational cost way. They have a prominent role in transforming chemical data sets into consistent input formats (bit strings or numeric values) suitable for in silico approaches. In this review, we summarize and classify common and state-of-the-art fingerprints into eight different types (dictionary based, circular, topological, pharmacophore, protein–ligand interaction, shape based, reinforced, and multi). We also highlight applications of fingerprints in early drug research and development (R&D). Thus, this review provides a guide for the selection of appropriate fingerprints of compounds (or ligand–protein complexes) for use in drug R&D.
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