Literature DB >> 17599932

ChemDB update--full-text search and virtual chemical space.

Jonathan H Chen1, Erik Linstead, S Joshua Swamidass, Dennis Wang, Pierre Baldi.   

Abstract

UNLABELLED: ChemDB is a chemical database containing nearly 5M commercially available small molecules, important for use as synthetic building blocks, probes in systems biology and as leads for the discovery of drugs and other useful compounds. The data is publicly available over the web for download and for targeted searches using a variety of powerful methods. The chemical data includes predicted or experimentally determined physicochemical properties, such as 3D structure, melting temperature and solubility. Recent developments include optimization of chemical structure (and substructure) retrieval algorithms, enabling full database searches in less than a second. A text-based search engine allows efficient searching of compounds based on over 65M annotations from over 150 vendors. When searching for chemicals by name, fuzzy text matching capabilities yield productive results even when the correct spelling of a chemical name is unknown, taking advantage of both systematic and common names. Finally, built in reaction models enable searches through virtual chemical space, consisting of hypothetical products readily synthesizable from the building blocks in ChemDB. AVAILABILITY: ChemDB and Supplementary Materials are available at http://cdb.ics.uci.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2007        PMID: 17599932     DOI: 10.1093/bioinformatics/btm341

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  27 in total

Review 1.  Computational methods in drug discovery.

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Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

2.  Crystal structure and biochemical studies of the trans-acting polyketide enoyl reductase LovC from lovastatin biosynthesis.

Authors:  Brian D Ames; Chi Nguyen; Joel Bruegger; Peter Smith; Wei Xu; Suzanne Ma; Emily Wong; Steven Wong; Xinkai Xie; Jesse W-H Li; John C Vederas; Yi Tang; Shiou-Chuan Tsai
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-25       Impact factor: 11.205

Review 3.  An Overview of the Challenges in Designing, Integrating, and Delivering BARD: A Public Chemical-Biology Resource and Query Portal for Multiple Organizations, Locations, and Disciplines.

Authors:  Andrea de Souza; Joshua A Bittker; David L Lahr; Steve Brudz; Simon Chatwin; Tudor I Oprea; Anna Waller; Jeremy J Yang; Noel Southall; Rajarshi Guha; Stephan C Schürer; Uma D Vempati; Mark R Southern; Eric S Dawson; Paul A Clemons; Thomas D Y Chung
Journal:  J Biomol Screen       Date:  2014-01-17

4.  Hashing algorithms and data structures for rapid searches of fingerprint vectors.

Authors:  Ramzi Nasr; Daniel S Hirschberg; Pierre Baldi
Journal:  J Chem Inf Model       Date:  2010-08-23       Impact factor: 4.956

Review 5.  Chemical databases for environmental health and clinical research.

Authors:  Carolyn J Mattingly
Journal:  Toxicol Lett       Date:  2008-10-18       Impact factor: 4.372

6.  An intersection inequality sharper than the tanimoto triangle inequality for efficiently searching large databases.

Authors:  Pierre Baldi; Daniel S Hirschberg
Journal:  J Chem Inf Model       Date:  2009-08       Impact factor: 4.956

7.  Accelerated similarity searching and clustering of large compound sets by geometric embedding and locality sensitive hashing.

Authors:  Yiqun Cao; Tao Jiang; Thomas Girke
Journal:  Bioinformatics       Date:  2010-02-23       Impact factor: 6.937

8.  Inhibition of Antiapoptotic BCL-XL, BCL-2, and MCL-1 Proteins by Small Molecule Mimetics.

Authors:  D S Dalafave; G Prisco
Journal:  Cancer Inform       Date:  2010-08-12

9.  No electron left behind: a rule-based expert system to predict chemical reactions and reaction mechanisms.

Authors:  Jonathan H Chen; Pierre Baldi
Journal:  J Chem Inf Model       Date:  2009-09       Impact factor: 4.956

10.  BLASTing small molecules--statistics and extreme statistics of chemical similarity scores.

Authors:  Pierre Baldi; Ryan W Benz
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

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