TAILIEUCHUNG - Báo cáo y học: "Cross-species cluster co-conservation: a new method for generating protein interaction networks"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Cross-species cluster co-conservation: a new method for generating protein interaction networks. | Open Access Method Cross-species cluster co-conservation a new method for generating protein interaction networks Anis Karimpour-FardH Corrella S Detweiler Kimberly D Erickson Lawrence Hunter and Ryan T Gill Addresses Center for Computational Pharmacology University of Colorado School of Medicine Aurora Colorado 80045 USA. tMCD-Biology University of Colorado Boulder CO 80309 USA. Department of Chemical and Biological Engineering University of Colorado Boulder CO 80309 USA. H These authors contributed equally to this work. Correspondence Ryan T Gill. Email rtg@ Published 5 September 2007 Genome Biology 2007 8 RI85 doi gb-2007-8-9-rI 85 The electronic version of this article is the complete one and can be found online at http 2007 8 9 RI85 Received 5 July 2007 Revised 30 August 2007 Accepted 5 September 2007 2007 Karimpour-Fard et al. 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 Co-conservation phylogenetic profiles is a well-established method for predicting functional relationships between proteins. Several publicly available databases use this method and additional clustering strategies to develop networks of protein interactions cluster co-conservation CCC . CCC has previously been limited to interactions within a single target species. We have extended CCC to develop protein interaction networks based on co-conservation between protein pairs across multiple species cross-species cluster co-conservation. Background The exponential increase in sequence information has widened the gap between the number of predicted and experimentally characterized proteins. At present about 400 microbial genomes are fully sequenced. The prediction of protein function from sequence is a .

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