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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: Protein function annotation by homology-based inference. | Review Protein function annotation by homology-based inference Yaniv Loewenstein Domenico Raimondo Oliver C Redfern James Watson Dmitrij Frishman Michal Linial Christine Orengo Janet Thornton and Anna Tramontano Addresses Department of Biological Chemistry The Hebrew University of Jerusalem Sudarsky Center Jerusalem 91904 Israel. Department of Biochemical Sciences University of Rome La Sapienza Rome 00185 Italy. Research Department of Structural and Molecular Biology University College London WC1E UK. European Bioinformatics Institute Hinxton CB10 1SD UK. Technische Universitat Munich Germany. Helmholtz Zentrum German Research Center for Environmental Health Munich 85764 Germany. Pasteur Institute-Cenci Bolognetti Foundation University of Rome La Sapienza Rome 00185 Italy. Correspondence Anna Tramontano. Email anna.tramontano@uniroma1.it Published 2 February 2009 Genome Biology 2009 10 207 doi 10.1186 gb-2009-10-2-207 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2009 10 2 207 2009 BioMed Central Ltd Abstract With many genomes now sequenced computational annotation methods to characterize genes and proteins from their sequence are increasingly important. The BioSapiens Network has developed tools to address all stages of this process and here we review progress in the automated prediction of protein function based on protein sequence and structure. In the past a protein s structure was usually experimentally determined after its biological role had been thoroughly elucidated and the structure was used as a framework to explain known functional properties. This led to the view that the reliable prediction of the structure of a protein from its sequence would almost automatically provide information about its function. The good news is that methods for predicting structure from sequence can now produce good models for a substantial fraction of the protein space 1 . But the idea that knowledge of a protein
