ArticleTheScientificWorldJournal2014
Protein-protein interactions prediction based on iterative clique extension with gene ontology filtering.
Article in TheScientificWorldJournal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- PRYNT: a tool for prioritization of disease candidates from proteomics data using a combination of shortest-path and random walk algorithms.Scientific reports · 2021Article
- Article
- An ensemble approach for large-scale identification of protein- protein interactions using the alignments of multiple sequences.Oncotarget · 2017Article
- Bridging topological and functional information in protein interaction networks by short loops profiling.Scientific reports · 2015Article
- Prediction of protein-protein interactions related to protein complexes based on protein interaction networks.BioMed research international · 2015Article
- A novel feature extraction scheme with ensemble coding for protein-protein interaction prediction.International journal of molecular sciences · 2014Article
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2 authors.
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Abstract
Cliques (maximal complete subnets) in protein-protein interaction (PPI) network are an important resource used to analyze protein complexes and functional modules. Clique-based methods of predicting PPI complement the data defection from biological experiments. However, clique-based predicting methods only depend on the topology of network. The false-positive and false-negative interactions in a network usually interfere with prediction. Therefore, we propose a method combining clique-based method of prediction and gene ontology (GO) annotations to overcome the shortcoming and improve the accuracy of predictions. According to different GO correcting rules, we generate two predicted interaction sets which guarantee the quality and quantity of predicted protein interactions. The proposed method is applied to the PPI network from the Database of Interacting Proteins (DIP) and most of the predicted interactions are verified by another biological database, BioGRID. The predicted protein interactions are appended to the original protein network, which leads to clique extension and shows the significance of biological meaning.
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