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.

PMID: 33118813
PMCID: PMC8284596
Funding: - National Institute of General Medical Sciences: GM71896

Links