molBLOCKS: decomposing small molecule sets and uncovering enriched fragments.

Publication Year
2014

Type

Journal Article
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.

Journal
Bioinformatics
Volume
30
Issue
14
Pages
2081-3
Date Published
2014 Jul 15
ISSN Number
1367-4811
Alternate Journal
Bioinformatics
PMCID
PMC4080744
PMID
24681908