ChemDB: a public database of small molecules and related chemoinformatics resources
Open Access
- 20 September 2005
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 21 (22), 4133-4139
- https://doi.org/10.1093/bioinformatics/bti683
Abstract
Motivation: The development of chemoinformatics has been hampered by the lack of large, publicly available, comprehensive repositories of molecules, in particular of small molecules. Small molecules play a fundamental role in organic chemistry and biology. They can be used as combinatorial building blocks for chemical synthesis, as molecular probes in chemical genomics and systems biology, and for the screening and discovery of new drugs and other useful compounds. Results: We describe ChemDB, a public database of small molecules available on the Web. ChemDB is built using the digital catalogs of over a hundred vendors and other public sources and is annotated with information derived from these sources as well as from computational methods, such as predicted solubility and three-dimensional structure. It supports multiple molecular formats and is periodically updated, automatically whenever possible. The current version of the database contains approximately 4.1 million commercially available compounds and 8.2 million counting isomers. The database includes a user-friendly graphical interface, chemical reactions capabilities, as well as unique search capabilities. Availability: Database and datasets are available on Contact:pfbaldi@ics.uci.edu Supplementary information: Supplementary materials are available onKeywords
This publication has 28 references indexed in Scilit:
- An endocannabinoid mechanism for stress-induced analgesiaNature, 2005
- Chemical space and biologyNature, 2004
- ZINC − A Free Database of Commercially Available Compounds for Virtual ScreeningJournal of Chemical Information and Modeling, 2004
- Combinatorial informatics in the post-genomics eraNature Reviews Drug Discovery, 2002
- A Modification of the Jaccard–Tanimoto Similarity Index for Diverse Selection of Chemical Compounds Using Binary StringsTechnometrics, 2002
- Improving the Odds in Discriminating “Drug-like” from “Non Drug-like” CompoundsJournal of Chemical Information and Computer Sciences, 2000
- Parallel Array and Mixture-Based Synthetic Combinatorial Chemistry: Tools for the Next MillenniumAnnual Review of Pharmacology and Toxicology, 2000
- The Protein Data BankNucleic Acids Research, 2000
- On the Properties of Bit String-Based Measures of Chemical SimilarityJournal of Chemical Information and Computer Sciences, 1998
- Chemical Information in 3D SpaceJournal of Chemical Information and Computer Sciences, 1996