Literature DB >> 17897036

Complementarity between public and commercial databases: new opportunities in medicinal chemistry informatics.

Christopher Southan1, Péter Várkonyi, Sorel Muresan.   

Abstract

The last two years have seen a dramatic expansion in public cheminformatics, as exemplified by the approximate five-fold growth of PubChem from over 50 contributing data sources. Consequently, medicinal chemists who were hitherto limited to commercial databases now also have access to public sources that they can download and/or query directly over the Web. The range of public sources, particularly where they link out to structured bioinformatic and biological data, already offer utilities that have no commercial equivalent. This work reviews compound content comparisons between selected public and commercial databases that capture bioactive content. We focused particularly on those that specify relationships between compounds and their protein targets. Our stringent filtering produced lower unique compound numbers than those reported for individual databases and thereby facilitated standardised comparisons of content. The resultant matrix shows the pairwise comparison of each database and selected subsets. Overall, this showed an unexpected degree of non-overlap, thereby emphasising the complementarity gained from combining public and commercial sources. This conclusion is supported by a Venn-type analysis of GVKBIO, WOMBAT (both commercial) and PubChem (public). These databases show not only overlap but also unique bioactive content in each case because of their different strategies for source selection and data collection.

Mesh:

Year:  2007        PMID: 17897036     DOI: 10.2174/156802607782194761

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  7 in total

1.  Automated molecule editing in molecular design.

Authors:  Peter W Kenny; Carlos A Montanari; Igor M Prokopczyk; Fernanda A Sala; Geraldo Rodrigues Sartori
Journal:  J Comput Aided Mol Des       Date:  2013-09-04       Impact factor: 3.686

2.  A novel method for mining highly imbalanced high-throughput screening data in PubChem.

Authors:  Qingliang Li; Yanli Wang; Stephen H Bryant
Journal:  Bioinformatics       Date:  2009-10-13       Impact factor: 6.937

3.  Web search and data mining of natural products and their bioactivities in PubChem.

Authors:  Hao Ming; Cheng Tiejun; Wang Yanli; Bryant H Stephen
Journal:  Sci China Chem       Date:  2013-10       Impact factor: 9.445

Review 4.  Combination chemical genetics.

Authors:  Joseph Lehár; Brent R Stockwell; Guri Giaever; Corey Nislow
Journal:  Nat Chem Biol       Date:  2008-11       Impact factor: 15.040

5.  Analysis of in vitro bioactivity data extracted from drug discovery literature and patents: Ranking 1654 human protein targets by assayed compounds and molecular scaffolds.

Authors:  Christopher Southan; Kiran Boppana; Sarma Arp Jagarlapudi; Sorel Muresan
Journal:  J Cheminform       Date:  2011-05-13       Impact factor: 5.514

6.  Quantitative assessment of the expanding complementarity between public and commercial databases of bioactive compounds.

Authors:  Christopher Southan; Péter Várkonyi; Sorel Muresan
Journal:  J Cheminform       Date:  2009-07-06       Impact factor: 5.514

Review 7.  Matched Molecular Pair Analysis in Short: Algorithms, Applications and Limitations.

Authors:  Christian Tyrchan; Emma Evertsson
Journal:  Comput Struct Biotechnol J       Date:  2016-12-13       Impact factor: 7.271

  7 in total

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