ArticleJournal of biomedical informatics2011
Protein annotation from protein interaction networks and Gene Ontology.
Article in Journal of biomedical informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- SIN-3 functions through multi-protein interaction to regulate apoptosis, autophagy, and longevity in Caenorhabditis elegans.Scientific reports · 2022Article
- Diversity and genomics of giant viruses in the North Pacific Subtropical Gyre.Frontiers in microbiology · 2022Article
- Gene Ontology Capsule GAN: an improved architecture for protein function prediction.PeerJ. Computer science · 2022Article
- SDN2GO: An Integrated Deep Learning Model for Protein Function Prediction.Frontiers in bioengineering and biotechnology · 2020Article
- Characterizing Cancer Drug Response and Biological Correlates: A Geometric Network Approach.Scientific reports · 2018Article
- DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier.Bioinformatics (Oxford, England) · 2018Article
- Insights from the protein-protein interaction network analysis of Mycobacterium tuberculosis toxin-antitoxin systems.Bioinformation · 2017Article
- Improving protein function prediction using domain and protein complexes in PPI networks.BMC systems biology · 2014Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
We introduce a novel method for annotating protein function that combines Naïve Bayes and association rules, and takes advantage of the underlying topology in protein interaction networks and the structure of graphs in the Gene Ontology. We apply our method to proteins from the Human Protein Reference Database (HPRD) and show that, in comparison with other approaches, it predicts protein functions with significantly higher recall with no loss of precision. Specifically, it achieves 51% precision and 60% recall versus 45% and 26% for Majority and 24% and 61% for χ²-statistics, respectively.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.