Open Badges Review

Protein function annotation by homology-based inference

Yaniv Loewenstein1, Domenico Raimondo2, Oliver C Redfern3, James Watson4, Dmitrij Frishman56, Michal Linial1, Christine Orengo3, Janet Thornton4 and Anna Tramontano27*

Author Affiliations

1 Department of Biological Chemistry, The Hebrew University of Jerusalem, Sudarsky Center, Jerusalem 91904, Israel

2 Department of Biochemical Sciences, University of Rome "La Sapienza", Rome 00185, Italy

3 Research Department of Structural and Molecular Biology, University College, London WC1E, UK

4 European Bioinformatics Institute, Hinxton CB10 1SD, UK

5 Technische Universit├Ąt, Munich, Germany

6 Helmholtz Zentrum, German Research Center for Environmental Health, Munich 85764, Germany

7 Pasteur Institute-Cenci Bolognetti Foundation, University of Rome "La Sapienza", Rome 00185, Italy

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Genome Biology 2009, 10:207  doi:10.1186/gb-2009-10-2-207

Published: 2 February 2009


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.