PFP/ESG: automated protein function prediction servers enhanced with Gene Ontology visualization tool.
basic_science · Level V
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- Record sourced from PubMed, PMID 25273111.
- Also identified by DOI 10.1093/bioinformatics/btu646 and PMC identifier 4287954.
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Abstract
Protein function prediction (PFP) is an automated function prediction method that predicts Gene Ontology (GO) annotations for a protein sequence using distantly related sequences and contextual associations of GO terms. Extended similarity group (ESG) is another GO prediction algorithm that makes predictions based on iterative sequence database searches. Here, we provide interactive web servers for the PFP and ESG algorithms that are equipped with an effective visualization of the GO predictions in a hierarchical topology. PFP/ESG servers are freely available at http://kiharalab.org/web/pfp.php and http://kiharalab.org/web/esg.php, or access both at http://kiharalab.org/pfp_esg.php. Supplementary data are available at Bioinformatics online.
Medical subject headings
- Algorithms
- Computational Biology
- Computer Graphics
- Gene Ontology
- Molecular Sequence Annotation
- Proteins
- Sequence Analysis, Protein