BMC Bioinformatics -
1 days and 9 hours ago
Publication Date: 2008 Sep 24 PMID: 18816385br/Authors: Lagorce, D. - Sperandio, O. - Galons, H. -
Miteva, M. A. - Villoutreix, B. O.br/Journal: BMC Bioinformaticsbr/br/ABSTRACT: BACKGROUND: Drug
discovery and chemical biology are exceedingly complex and demanding enterprises. In recent years
there are been increasing awareness about the importance of predicting/optimizing the absorption,
distribution, metabolism, excretion and toxicity (ADMET) properties of small chemical compounds
along the search process rather than at the final stages. Fast methods for evaluating ADMET
properties of small molecules often involve applying a set of simple empirical rules (educated
guesses) and as such, compound collections' property profiling can be performed in silico. Clearly,
these rules cannot assess the full complexity of the human body but can provide valuable
information and assist decision-making. RESULTS: This paper presents FAF-Drugs2, a free adaptable
tool for ADMET filtering of electronic compound collections. FAF-Drugs2 is a command line utility
program (e.g., written in Python) based on the open source chemistry toolkit OpenBabel, which
performs various physicochemical calculations, identifies key functional groups, some toxic and
unstable molecules/functional groups. In addition to filtered collections, FAF-Drugs2 can provide,
via Gnuplot, several distribution diagrams of major physicochemical properties of the screened
compound libraries. CONCLUSIONS: We have developed FAF-Drugs2 to facilitate compound collection
preparation, prior to (or after) experimental screening or virtual screening computations. Users
can select to apply various filtering thresholds and add rules as needed for a given project. As it
stands, FAF-Drugs2 implements numerous filtering rules (23 physicochemical rules and 204
substructure searching rules) that can be easily tuned.br/br/post to: a href =
http://www.citeulike.org/posturl?url=http%3A%2F%2Fwww.ncbi.nlm.nih.gov%2Fentrez%2Fquery.fcgi%3Fcmd%3DRetrieve%26db%3DPubMed%26dopt%3DAbstract%26list_uids%3D18816385title=Entrez+PubmedCiteULike/a

|