Bioinformatics Advance Access originally published online on November 23, 2007
Bioinformatics 2008 24(2):225-233; doi:10.1093/bioinformatics/btm580
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Genome scale enzyme–metabolite and drug–target interaction predictions using the signature molecular descriptor
1Sandia National Laboratories, Computational Biosciences Department, P.O. Box 5800, Albuquerque, NM 87185-1413, 2Sandia National Laboratories, Computer Science & Informatics Department, P.O. Box 5800, Albuquerque, NM 87185-1316 and 3Sandia National Laboratories, Biosystems Research, P.O. Box 969, Livermore, CA 94551-9291, USA
*To whom correspondence should be addressed.
 |
Abstract |
|---|
Motivation: Identifying protein enzymatic or pharmacological activities are important areas of research in biology and chemistry. Biological and chemical databases are increasingly being populated with linkages between protein sequences and chemical structures. There is now sufficient information to apply machine-learning techniques to predict interactions between chemicals and proteins at a genome scale. Current machine-learning techniques use as input either protein sequences and structures or chemical information. We propose here a method to infer protein–chemical interactions using heterogeneous input consisting of both protein sequence and chemical information.
Results: Our method relies on expressing proteins and chemicals with a common cheminformatics representation. We demonstrate our approach by predicting whether proteins can catalyze reactions not present in training sets. We also predict whether a given drug can bind a target, in the absence of prior binding information for that drug and target. Such predictions cannot be made with current machine-learning techniques requiring binding information for individual reactions or individual targets.
Availability and Contact: For questions, paper reprints, please contact Jean-Loup Faulon at jfaulon{at}sandia.gov. Additional information on the signature molecular descriptor and codes can be downloaded at: http://www.cs.sandia.gov/~jfaulon/publication-signature.html
Supplementary information: Supplementary data are available at Bioinformatics online.
Associate Editor: Olga Troyanskaya
Received on June 21, 2007; revised on October 21, 2007; accepted on November 19, 2007
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  D. A. R. S. Latino, Q.-Y. Zhang, and J. Aires-de-Sousa Genome-scale classification of metabolic reactions and assignment of EC numbers with self-organizing maps Bioinformatics, October 1, 2008; 24(19): 2236 - 2244. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 N. Panayotatos Drug-binding Cavities in Long-Lived Biologics: Cause for Concern but Also Potential Benefit J. Clin. Pharmacol., October 1, 2008; 48(10): 1208 - 1211. [Abstract] [Full Text] [PDF]
|
|