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ZINC-22─A Free Multi-Billion-Scale Database of Tangible Compounds for Ligand Discovery

化学空间 数据库 计算机科学 小分子 化学 药物发现 生物化学
作者
Benjamin I. Tingle,Khanh Tang,Mar Castanon,John J. Gutierrez,Munkhzul Khurelbaatar,Chinzorig Dandarchuluun,Yurii S. Moroz,John J. Irwin
出处
期刊:Journal of Chemical Information and Modeling [American Chemical Society]
卷期号:63 (4): 1166-1176 被引量:43
标识
DOI:10.1021/acs.jcim.2c01253
摘要

Purchasable chemical space has grown rapidly into the tens of billions of molecules, providing unprecedented opportunities for ligand discovery but straining the tools that might exploit these molecules at scale. We have therefore developed ZINC-22, a database of commercially accessible small molecules derived from multi-billion-scale make-on-demand libraries. The new database and tools enable analog searching in this vast new space via a facile GUI, CartBlanche, drawing on similarity methods that scale sublinearly in the number of molecules. The new library also uses data organization methods, enabling rapid lookup of molecules and their physical properties, including conformations, partial atomic charges, c Log P values, and solvation energies, all crucial for molecule docking, which had become slow with older database organizations in previous versions of ZINC. As the libraries have continued to grow, we have been interested in finding whether molecular diversity has suffered, for instance, because certain scaffolds have come to dominate via easy analoging. This has not occurred thus far, and chemical diversity continues to grow with database size, with a log increase in Bemis–Murcko scaffolds for every two-log unit increase in database size. Most new scaffolds come from compounds with the highest heavy atom count. Finally, we consider the implications for databases like ZINC as the libraries grow toward and beyond the trillion-molecule range. ZINC is freely available to everyone and may be accessed at cartblanche22.docking.org, via Globus, and in the Amazon AWS and Oracle OCI clouds.
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