- Unique identifier:
- Web user interface
- Input data:
- A protein sequence.
- Output data:
- A PFP input sequence and prediction terms for each Gene Ontology category with confidence greater than 5% of the score of the top hit, A downloadable link to the results, a visualization of Predicted GO Terms.
- Computer skills:
- Protein Function Prediction
- Restrictions to use:
- Input format:
- Output format:
- Documentation: http://kiharalab.org/pfp_tutorial_upd.pdf
- Daisuke Kihara <>
- Team PFP <>
No open topic.
(Wei et al., 2017)
Using PFP and ESG Protein Function Prediction Web Servers.
Methods Mol Biol.
PMID: 28451967 DOI: 10.1007/978-1-4939-7015-5_1
(Hawkins et al., 2009)
PFP: Automated prediction of gene ontology functional annotations with confidence scores using protein sequence data.
PMID: 18655063 DOI: 10.1002/prot.22172
(Hawkins et al., 2006)
Enhanced automated function prediction using distantly related sequences and contextual association by PFP.
PMID: 16672240 DOI: 10.1110/ps.062153506
Department of Biological Sciences, College of Science, Purdue University, West Lafayette, IN, USA; Department of Computer Science, College of Science, Purdue University, West Lafayette, IN, USA; Markey Center for Structural Biology, College of Science, Purdue University, West Lafayette, IN, USA; Department of Computer Science, Purdue University, IN, USA
Supported by the National Institutes of Health (R01GM097528) and the National Science Foundation (IIS1319551, DBI1262189, IOS1127027).
0 user reviews
0 user reviews
No review has been posted.