ZINC20
ZINC20 provides an ultralarge database of commercially available small molecules for virtual screening and ligand discovery.
Key Features:
- Ultralarge-scale database: Contains over 230 million purchasable compounds in ready-to-dock 3D formats and more than 750 million purchasable compounds searchable for analogs.
- Make-on-demand compounds: Includes billions of make-on-demand molecules that expand accessible chemical space.
- Graph-based search methods: Implements explicit atomic-level graph-based searches, including SmallWorld for similarity search and Arthor for pattern and substructure search.
- 3D docking methods: Integrates 3D docking techniques to evaluate molecular interactions in a spatial context.
Scientific Applications:
- Ligand discovery and assay candidate identification: Enables identification and procurement of new small molecules for biological assays via virtual screening.
- Exploration of make-on-demand diversity: Reveals structural features absent from in-stock collections, with over 97% of core Bemis-Murcko scaffolds in make-on-demand libraries absent from existing collections.
- Scaffold expansion analysis: Documents a significant rise in new Bemis-Murcko scaffolds, correlating with an 88-fold increase in molecules compared to in-stock sets.
- Shape-space exploration: Highlights increased numbers of disc- and sphere-like shaped molecules within make-on-demand libraries compared to physical libraries.
Methodology:
Computational methods include explicit atomic-level graph-based searches (SmallWorld for similarity and Arthor for pattern/substructure), searches for analogs across purchasable compounds, and 3D docking of ready-to-dock 3D formats.
Topics
Details
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Irwin JJ, Tang KG, Young J, Dandarchuluun C, Wong BR, Khurelbaatar M, Moroz YS, Mayfield J, Sayle RA. ZINC20—A Free Ultralarge-Scale Chemical Database for Ligand Discovery. Journal of Chemical Information and Modeling. 2020;60(12):6065-6073. doi:10.1021/acs.jcim.0c00675. PMID:33118813. PMCID:PMC8284596.