UNIGE document Scientific Article
previous document  unige:33780  next document
add to browser collection
Title

A large-scale evaluation of computational protein function prediction

Authors
Radivojac, Predrag
Clark, Wyatt T
Oron, Tal Ronnen
Schnoes, Alexandra M
Wittkop, Tobias
Sokolov, Artem
Graim, Kiley
Funk, Christopher
show hidden authors show all authors [1 - 102]
Published in Nature Methods. 2013, vol. 10, no. 3, p. 221-7
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 first-generation methods, with large gains on all types of targets; and (ii) although the top methods perform well enough to guide experiments, there is considerable need for improvement of currently available tools.
Keywords AlgorithmsAnimalsComputational Biology/methodsDatabases, ProteinExoribonucleases/classification/genetics/physiologyForecastingHumansMolecular Biology/methodsMolecular Sequence AnnotationProteins/chemistry/classification/genetics/physiologySpecies Specificity
Identifiers
PMID: 23353650
Full text
Article (Published version) (1.3 MB) - public document Free access
Structures
Research group Calipho (80)
Citation
(ISO format)
RADIVOJAC, Predrag et al. A large-scale evaluation of computational protein function prediction. In: Nature Methods, 2013, vol. 10, n° 3, p. 221-7. https://archive-ouverte.unige.ch/unige:33780

199 hits

532 downloads

Update

Deposited on : 2014-01-28

Export document
Format :
Citation style :