Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Predicting genes for orphan metabolic activities using phylogenetic profiles. | Methb d Open Access Predicting genes for orphan metabolic activities using phylogenetic profiles Lifeng Chen and Dennis Vitkup Address 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. Correspondence Dennis Vitkup. Email vitkup@ Published 15 February 2006 Genome Biology 2006 7 R17 doi 186 gb-2006-7-2-r17 The electronic version of this article is the complete one and can be found online at http 2006 7 2 R17 Received 1 September 2005 Revised 1 December 2005 Accepted 12 January 2006 2006 Chen and Vitkup licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract 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. Background It is hard to overestimate the potential impact of accurate network reconstruction algorithms on systems biology. Accurate models of biological networks will be essential in diverse areas from genetics of common human diseases to synthetic biology. Current computational methods of metabolic network reconstruction can directly benefit from many decades of experimental biochemical studies 1 2 . Available homology-based annotation methods assign metabolic functions to sequences by .
