articleNature MethodsJan 27, 2013HYBRID OA

A large-scale evaluation of computational protein function prediction

PRPredrag RadivojacWTWyatt T. ClarkTOTal OronAMAlexandra M. SchnoesTWTobias Wittkop

Indiana University Bloomington · Buck Institute for Research on Aging · +40 more institutions

PubMed
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Abstract

Automated annotation of protein function is challenging. As the number of sequenced genomes rapidly grows, the overwhelming majority of protein products can only be annotated computationally. If computational predictions are to be relied upon, it is crucial that the accuracy of these methods be high. Here we report the results from the first large-scale community-based critical assessment of protein function annotation (CAFA) experiment. Fifty-four methods representing the state of the art for protein function prediction were evaluated on a target set of 866 proteins from 11 organisms. Two findings stand out: (i) today's best protein function prediction algorithms substantially outperform widely used…

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Topics & keywords

Topics
Keywords
  • Annotation
  • Computer science
  • Protein function prediction
  • Function (biology)
  • Protein function
  • Set (abstract data type)
  • Scale (ratio)
  • Computational biology
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