WoLF PSORT: protein localization predictor
National Institute of Infectious Diseases · Korea Center for Disease Control and Prevention · +1 more institution
Abstract
WoLF PSORT is an extension of the PSORT II program for protein subcellular location prediction. WoLF PSORT converts protein amino acid sequences into numerical localization features; based on sorting signals, amino acid composition and functional motifs such as DNA-binding motifs. After conversion, a simple k-nearest neighbor classifier is used for prediction. Using html, the evidence for each prediction is shown in two ways: (i) a list of proteins of known localization with the most similar localization features to the query, and (ii) tables with detailed information about individual localization features. For convenience, sequence alignments of the query to similar proteins and links to UniProt and Gene…
Citation impact
- FWCI
- 41.44
- Percentile
- 100%
- References
- 16
Authors
7- PHPaul HortonCorresponding
National Institute of Infectious Diseases, Korea Center for Disease Control and Prevention, Tokyo University of Science
- KPKyungjoon Park
National Institute of Infectious Diseases, Tokyo University of Science, Korea Center for Disease Control and Prevention
- TOTakeshi Obayashi
Tokyo University of Science, National Institute of Infectious Diseases, Korea Center for Disease Control and Prevention
- NFNobuko FUJITA
National Institute of Infectious Diseases, Tokyo University of Science, Korea Center for Disease Control and Prevention
- HHHideaki Harada
Tokyo University of Science, National Institute of Infectious Diseases, Korea Center for Disease Control and Prevention
Topics & keywords
- UniProt
- Biology
- Gene ontology
- Computational biology
- Protein sequencing
- Protein subcellular localization prediction
- Classifier (UML)
- Subcellular localization