DrugSpaceX: a large screenable and synthetically tractable database extending drug space

作者：Tianbiao Yang, Zhaojun Li, Yingjia Chen, Dan Feng, Guangchao Wang, Zunyun Fu, Xiaoyu Ding, Xiaoqin Tan, Jihui Zhao, Xiaomin Luo, Kaixian Chen, Hualiang Jiang, Mingyue Zheng · 发表于：Nucleic Acids Research · 年份：2020 · DOI：10.1093/nar/gkaa920 · 被引用次数：53 · 研究领域：Computational Drug Discovery Methods、Chemical Synthesis and Analysis、Microbial Natural Products and Biosynthesis

One of the most prominent topics in drug discovery is efficient exploration of the vast drug-like chemical space to find synthesizable and novel chemical structures with desired biological properties. To address this challenge, we created the DrugSpaceX (https://drugspacex.simm.ac.cn/) database based on expert-defined transformations of approved drug molecules. The current version of DrugSpaceX contains >100 million transformed chemical products for virtual screening, with outstanding characteristics in terms of structural novelty, diversity and large three-dimensional chemical space coverage. To illustrate its practical application in drug discovery, we used a case study of discoidin domain receptor 1 (DDR1), a kinase target implicated in fibrosis and other diseases, to show DrugSpaceX performing a quick search of initial hit compounds. Additionally, for ligand identification and optimization purposes, DrugSpaceX also provides several subsets for download, including a 10% diversity subset, an extended drug-like subset, a drug-like subset, a lead-like subset, and a fragment-like subset. In addition to chemical properties and transformation instructions, DrugSpaceX can locate the position of transformation, which will enable medicinal chemists to easily integrate strategy planning and protection design.