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Protein function prediction - the power of multiplicity

Rentzsch, R; Orengo, CA; (2009) Protein function prediction - the power of multiplicity. TRENDS BIOTECHNOL , 27 (4) 210 - 219. 10.1016/j.tibtech.2009.01.002.

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Abstract

Advances in experimental and computational methods have quietly ushered in a new era in protein function annotation. This 'age of multiplicity' is marked by the notion that only the use of multiple tools, multiple evidence and considering the multiple aspects of function can give us the broad picture that 21st century biology will need to link and alter micro- and macroscopic phenotypes. It might also help us to undo past mistakes by removing errors from our databases and prevent us from producing more. On the downside, multiplicity is often confusing. We therefore systematically review methods and resources for automated protein function prediction, looking at individual (biochemical) and contextual (network) functions, respectively.

Type: Article
Title: Protein function prediction - the power of multiplicity
DOI: 10.1016/j.tibtech.2009.01.002
Keywords: INTERACTION NETWORKS, COMPUTATIONAL PREDICTION, ENZYME FUNCTION, GENE ONTOLOGY, PHYLOGENETIC PROFILES, GENOME ANNOTATION, DATABASE, FAMILIES, CLASSIFICATION, SEQUENCES
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology
URI: http://discovery.ucl.ac.uk/id/eprint/1298874
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