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Hishigaki H, et al.  (2001) Assessment of prediction accuracy of protein function from protein--protein interaction data. Yeast 18(6):523-31

Abstract: Functional prediction of open reading frames coded in the genome is one of the most important tasks in yeast genomics. Among a number of large-scale experiments for assigning certain functional classes to proteins, experiments determining protein-protein interaction are especially important because interacting proteins usually have the same function. Thus, it seems possible to predict the function of a protein when the function of its interacting partner is known. However, in vitro experiments often suffer from artifacts and a protein can often have multiple binding partners with different functions. We developed an objective prediction method that can systematically include the information of indirect interaction. Our method can predict the subcellular localization, the cellular role and the biochemical function of yeast proteins with accuracies of 72.7%, 63.6% and 52.7%, respectively. The prediction accuracy rises for proteins with more than three binding partners and thus we present the open prediction results for 16 such proteins.CI - Copyright 2001 John Wiley & Sons, Ltd.

Status: Published Type: Journal Article | Research Support, Non-U.S. Gov't PubMed ID: 11284008

Topics addressed in this paper

Number of different genes curated to this paper: 16

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ATG17 ATG19 BIT2 COG4 EDC3 MDM30 NOG2 NST1 PEF1 SLM1
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Topics Genes linked to topics (#11 - 16 )
SLM2 YDL012C YDL071C YIP5 YLR456W YPT35
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