Source:http://linkedlifedata.com/resource/pubmed/id/17447748
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
10
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pubmed:dateCreated |
2007-5-10
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pubmed:abstractText |
High-throughput screening (HTS) is the primary technique for new lead identification in drug discovery and chemical biology. Unfortunately, it is susceptible to false-positive hits. One common mechanism for such false-positives is the congregation of organic molecules into colloidal aggregates, which nonspecifically inhibit enzymes. To both evaluate the feasibility of large-scale identification of aggregate-based inhibition and quantify its prevalence among screening hits, we tested 70,563 molecules from the National Institutes of Health Chemical Genomics Center (NCGC) library for detergent-sensitive inhibition. Each molecule was screened in at least seven concentrations, such that dose-response curves were obtained for all molecules in the library. There were 1274 inhibitors identified in total, of which 1204 were unambiguously detergent-sensitive. We identified these as aggregate-based inhibitors. Thirty-one library molecules were independently purchased and retested in secondary low-throughput experiments; 29 of these were confirmed as either aggregators or nonaggregators, as appropriate. Finally, with the dose-response information collected for every compound, we could examine the correlation between aggregate-based inhibition and steep dose-response curves. Three key results emerge from this study: first, detergent-dependent identification of aggregate-based inhibition is feasible on the large scale. Second, 95% of the actives obtained in this screen are aggregate-based inhibitors. Third, aggregate-based inhibition is correlated with steep dose-response curves, although not absolutely. The results of this screen are being released publicly via the PubChem database.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical |
http://linkedlifedata.com/resource/pubmed/chemical/Colloids,
http://linkedlifedata.com/resource/pubmed/chemical/Detergents,
http://linkedlifedata.com/resource/pubmed/chemical/Organic Chemicals,
http://linkedlifedata.com/resource/pubmed/chemical/Pharmaceutical Preparations,
http://linkedlifedata.com/resource/pubmed/chemical/beta-Lactamases
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pubmed:status |
MEDLINE
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pubmed:month |
May
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pubmed:issn |
0022-2623
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:day |
17
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pubmed:volume |
50
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
2385-90
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pubmed:dateRevised |
2008-11-21
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pubmed:meshHeading |
pubmed-meshheading:17447748-Chemistry, Physical,
pubmed-meshheading:17447748-Colloids,
pubmed-meshheading:17447748-Detergents,
pubmed-meshheading:17447748-Drug Design,
pubmed-meshheading:17447748-Feasibility Studies,
pubmed-meshheading:17447748-Kinetics,
pubmed-meshheading:17447748-Organic Chemicals,
pubmed-meshheading:17447748-Pharmaceutical Preparations,
pubmed-meshheading:17447748-Physicochemical Phenomena,
pubmed-meshheading:17447748-beta-Lactamases
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pubmed:year |
2007
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pubmed:articleTitle |
A high-throughput screen for aggregation-based inhibition in a large compound library.
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pubmed:affiliation |
Department of Pharmaceutical Chemistry & Graduate Group in Chemistry and Chemical Biology, 1700 4th Street, University of California San Francisco, San Francisco, California 94158-2330, USA.
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pubmed:publicationType |
Journal Article
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