FunPred 3.0: improved protein function prediction using protein interaction network
نویسندگان
چکیده
منابع مشابه
Prediction of Protein Sub-Mitochondria Locations Using Protein Interaction Networks
Background: Prediction of the protein localization is among the most important issues in the bioinformatics that is used for the prediction of the proteins in the cells and organelles such as mitochondria. In this study, several machine learning algorithms are applied for the prediction of the intracellular protein locations. These algorithms use the features extracted from pro...
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Proteins perform biological functions by participating in a large number of interactions, ranging from transient interactions in signaling pathways to permanent interactions within stable complexes. Studies have shown that the immediate interaction neighborhood of a protein can be used to infer its functions. While using only such direct interactions limits prediction coverage, extending the in...
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There is a large gap between the number of discovered proteins and the number of functionally annotated ones. Due to the high cost of determining protein function by wet-lab research, function prediction has become a major task for computational biology and bioinformatics. Some researches utilize the proteins interaction information to predict function for un-annotated proteins. In this paper, ...
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ژورنال
عنوان ژورنال: PeerJ
سال: 2019
ISSN: 2167-8359
DOI: 10.7717/peerj.6830