Predicting genes for orphan metabolic activities using phylogenetic profiles
Center for Computational Biology and Bioinformatics and Department of Biomedical Informatics, Columbia University, St Nicholas Avenue, Irving Cancer Research Center, New York, NY 10032, USA
Genome Biology 2006, 7:R17 doi:10.1186/gb-2006-7-2-r17Published: 15 February 2006
Homology-based methods fail to assign genes to many metabolic activities present in sequenced organisms. To suggest genes for these orphan activities we developed a novel method that efficiently combines local structure of a metabolic network with phylogenetic profiles. We validated our method using known metabolic genes in Saccharomyces cerevisiae and Escherichia coli. We show that our method should be easily transferable to other organisms, and that it is robust to errors in incomplete metabolic networks.