Title | molBLOCKS: decomposing small molecule sets and uncovering enriched fragments. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Ghersi, D, Singh, M |
Journal | Bioinformatics |
Volume | 30 |
Issue | 14 |
Pagination | 2081-3 |
Date Published | 2014 Jul 15 |
Keywords | Antineoplastic Agents, Drug Discovery, Ligands, Proteins, Software |
Abstract | UNLABELLED: 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. AVAILABILITY AND IMPLEMENTATION: molBLOCKS is available as GPL C++ source code at http://compbio.cs.princeton.edu/molblocks. |
Alternate Journal | Bioinformatics |