Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

ZINC

General information

URL: https://zinc.docking.org/
Full name: ZINC
Description: ZINC is a free database of commercially available compounds for virtual screening and ligand discovery. ZINC-22 provides access to multi-billion-scale make-on-demand compound libraries, with molecules available in ready-to-dock 3D formats and supporting rapid analog searching via CartBlanche. It enables similarity, substructure, and 3D docking searches across purchasable chemical space and is freely accessible at cartblanche22.docking.org.
Year founded: 2005
Last update: 2026-08-25
Version: v20.0
Accessibility:
Accessible
Country/Region: United States

Contact information

University/Institution: University of California, San Francisco
Address: Department of Pharmaceutical Chemistry, UCSF, Byers Hall, 1700 4th Street, San Francisco, CA 94158-2330, USA.
City: San Francisco
Province/State: California
Country/Region: United States
Contact name (PI/Team): Brian K. Shoichet
Contact email (PI/Helpdesk): jji@cgl.ucsf.edu

Publications

36790087
ZINC-22─A Free Multi-Billion-Scale Database of Tangible Compounds for Ligand Discovery. [PMID: 36790087]
Tingle BI, Tang KG, Castanon M, Gutierrez JJ, Khurelbaatar M, Dandarchuluun C, Moroz YS, Irwin JJ.

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.

J Chem Inf Model. 2023:63(4) | 0 Citations (from Europe PMC, 2026-09-12)
33118813
ZINC20-A Free Ultralarge-Scale Chemical Database for Ligand Discovery. [PMID: 33118813]
Irwin JJ, Tang KG, Young J, Dandarchuluun C, Wong BR, Khurelbaatar M, Moroz YS, Mayfield J, Sayle RA.

Identifying and purchasing new small molecules to test in biological assays are enabling for ligand discovery, but as purchasable chemical space continues to grow into the tens of billions based on inexpensive make-on-demand compounds, simply searching this space becomes a major challenge. We have therefore developed ZINC20, a new version of ZINC with two major new features: billions of new molecules and new methods to search them. As a fully enumerated database, ZINC can be searched precisely using explicit atomic-level graph-based methods, such as SmallWorld for similarity and Arthor for pattern and substructure search, as well as 3D methods such as docking. Analysis of the new make-on-demand compound sets by these and related tools reveals startling features. For instance, over 97% of the core Bemis-Murcko scaffolds in make-on-demand libraries are unavailable from "in-stock" collections. Correspondingly, the number of new Bemis-Murcko scaffolds is rising almost as a linear fraction of the elaborated molecules. Thus, an 88-fold increase in the number of molecules in the make-on-demand versus the in-stock sets is built upon a 16-fold increase in the number of Bemis-Murcko scaffolds. The make-on-demand library is also more structurally diverse than physical libraries, with a massive increase in disc- and sphere-like shaped molecules. The new system is freely available at zinc20.docking.org.

J Chem Inf Model. 2020:60(12) | 706 Citations (from Europe PMC, 2026-09-12)
26479676
ZINC 15--Ligand Discovery for Everyone. [PMID: 26479676]
Sterling T, Irwin JJ.

Many questions about the biological activity and availability of small molecules remain inaccessible to investigators who could most benefit from their answers. To narrow the gap between chemoinformatics and biology, we have developed a suite of ligand annotation, purchasability, target, and biology association tools, incorporated into ZINC and meant for investigators who are not computer specialists. The new version contains over 120 million purchasable "drug-like" compounds--effectively all organic molecules that are for sale--a quarter of which are available for immediate delivery. ZINC connects purchasable compounds to high-value ones such as metabolites, drugs, natural products, and annotated compounds from the literature. Compounds may be accessed by the genes for which they are annotated as well as the major and minor target classes to which those genes belong. It offers new analysis tools that are easy for nonspecialists yet with few limitations for experts. ZINC retains its original 3D roots--all molecules are available in biologically relevant, ready-to-dock formats. ZINC is freely available at http://zinc15.docking.org.

J Chem Inf Model. 2015:55(11) | 2089 Citations (from Europe PMC, 2026-09-12)
22587354
ZINC: a free tool to discover chemistry for biology. [PMID: 22587354]
Irwin JJ, Sterling T, Mysinger MM, Bolstad ES, Coleman RG.

ZINC is a free public resource for ligand discovery. The database contains over twenty million commercially available molecules in biologically relevant representations that may be downloaded in popular ready-to-dock formats and subsets. The Web site also enables searches by structure, biological activity, physical property, vendor, catalog number, name, and CAS number. Small custom subsets may be created, edited, shared, docked, downloaded, and conveyed to a vendor for purchase. The database is maintained and curated for a high purchasing success rate and is freely available at zinc.docking.org.

J Chem Inf Model. 2012:52(7) | 1618 Citations (from Europe PMC, 2026-09-12)
15667143
ZINC--a free database of commercially available compounds for virtual screening. [PMID: 15667143]
Irwin JJ, Shoichet BK.

A critical barrier to entry into structure-based virtual screening is the lack of a suitable, easy to access database of purchasable compounds. We have therefore prepared a library of 727,842 molecules, each with 3D structure, using catalogs of compounds from vendors (the size of this library continues to grow). The molecules have been assigned biologically relevant protonation states and are annotated with properties such as molecular weight, calculated LogP, and number of rotatable bonds. Each molecule in the library contains vendor and purchasing information and is ready for docking using a number of popular docking programs. Within certain limits, the molecules are prepared in multiple protonation states and multiple tautomeric forms. In one format, multiple conformations are available for the molecules. This database is available for free download (http://zinc.docking.org) in several common file formats including SMILES, mol2, 3D SDF, and DOCK flexibase format. A Web-based query tool incorporating a molecular drawing interface enables the database to be searched and browsed and subsets to be created. Users can process their own molecules by uploading them to a server. Our hope is that this database will bring virtual screening libraries to a wide community of structural biologists and medicinal chemists.

J Chem Inf Model. 2005:45(1) | 2761 Citations (from Europe PMC, 2026-09-12)

Ranking

All databases:
53/7269 (99.285%)
Health and medicine:
16/1919 (99.218%)
Structure:
9/1026 (99.22%)
53
Total Rank
7,358
Citations
350.381
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2026-08-25
Curated by:
Xiaoxuan Gao [2026-08-26]
Yiran Zhan [2026-08-25]
Xiaoxuan Gao [2026-08-25]