PFP/ESG: automated protein function prediction servers enhanced with Gene Ontology visualization tool

Bioinformatics. 2015 Jan 15;31(2):271-2. doi: 10.1093/bioinformatics/btu646. Epub 2014 Oct 1.


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.

Availability: PFP/ESG servers are freely available at and, or access both at

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms*
  • Computational Biology / methods*
  • Computer Graphics*
  • Databases, Protein
  • Gene Ontology*
  • Humans
  • Molecular Sequence Annotation*
  • Proteins / metabolism*
  • Sequence Analysis, Protein / methods*


  • Proteins