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MolBLOCKS: Decomposing small molecule sets and uncovering enriched fragments

Author(s): Ghersi, D; Singh, Mona

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dc.contributor.authorGhersi, D-
dc.contributor.authorSingh, Mona-
dc.date.accessioned2018-07-20T15:08:16Z-
dc.date.available2018-07-20T15:08:16Z-
dc.date.issued2014-03-28en_US
dc.identifier.citationGhersi, D, Singh, M. (2014). MolBLOCKS: Decomposing small molecule sets and uncovering enriched fragments. Bioinformatics, 30 (2081 - 2083. doi:10.1093/bioinformatics/btu173en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1k66b-
dc.description.abstractThe chemical structures of biomolecules, whether naturally occurring or synthetic, are composed of functionally important building blocks. Given a set of small molecules - for example, those known to bind a particular protein - computationally decomposing them into chemically meaningful fragments can help elucidate their functional properties, and may be useful for designing novel compounds with similar properties. Here we introduce molBLOCKS, a suite of programs for breaking down sets of small molecules into fragments according to a predefined set of chemical rules, clustering the resulting fragments, and uncovering statistically enriched fragments. Among other applications, our software should be a great aid in large-scale chemical analysis of ligands binding specific targets of interest.en_US
dc.format.extent2081 - 2083en_US
dc.language.isoen_USen_US
dc.relation.ispartofBioinformaticsen_US
dc.rightsFinal published version. Article is made available in OAR by the publisher's permission or policy.en_US
dc.titleMolBLOCKS: Decomposing small molecule sets and uncovering enriched fragmentsen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1093/bioinformatics/btu173-
dc.date.eissued2014-07-15en_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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