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
- To find other papers on a gene and topic, click on the colored ball in the appropriate box.
- displays other papers with information about that topic for that gene.
- displays other papers in SGD that are associated with that topic.
The topic is addressed in these papers but does not describe a specific gene or chromosomal feature.
- To go to the Locus page for a gene, click on the gene name.
|Topics||Topics not linked to Genes||Genes linked to topics (#1 - 10 )|
|Topics||Genes linked to topics (#11 - 16 )|