化学
化学空间
化学信息学
计算机科学
空格(标点符号)
化学数据库
集合(抽象数据类型)
药物发现
计算生物学
组合化学
化学
生物信息学
生物
程序设计语言
操作系统
作者
Regina Pikalyova,Yuliana Zabolotna,Dmitriy M. Volochnyuk,Dragos Horvath,Gilles Marcou,Alexandre Varnek
标识
DOI:10.1002/minf.202100289
摘要
DNA-Encoded Library (DEL) technology has emerged as an alternative method for bioactive molecules discovery in medicinal chemistry. It enables the simple synthesis and screening of compound libraries of enormous size. Even though it gains more and more popularity each day, there are almost no reports of chemoinformatics analysis of DEL chemical space. Therefore, in this project, we aimed to generate and analyze the ultra-large chemical space of DEL. Around 2500 DELs were designed using commercially available building blocks resulting in 2,5B DEL compounds that were compared to biologically relevant compounds from ChEMBL using Generative Topographic Mapping. This allowed to choose several optimal DELs covering the chemical space of ChEMBL to the highest extent and thus containing the maximum possible percentage of biologically relevant chemotypes. Different combinations of DELs were also analyzed to identify a set of mutually complementary libraries allowing to attain even higher coverage of ChEMBL than it is possible with one single DEL.
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