molBLOCKS: decomposing small molecule sets and uncovering enriched fragments.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 24681908.
- Also identified by DOI 10.1093/bioinformatics/btu173 and PMC identifier 4080744.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
The 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. molBLOCKS is available as GPL C++ source code at http://compbio.cs.princeton.edu/molblocks.
Medical subject headings
- Drug Discovery
- Software