WoLF PSORT: protein localization predictor

Paul Horton(National Institute of Infectious Diseases), Kyungjoon Park(National Institute of Infectious Diseases), Takeshi Obayashi(Tokyo University of Science), Nobuko FUJITA(National Institute of Infectious Diseases), Hideaki Harada(Tokyo University of Science), C.J. Adams-Collier(Korea Center for Disease Control and Prevention), Kenta Nakai(Korea Center for Disease Control and Prevention)
Nucleic Acids Research
May 8, 2007
Cited by 4,175Open Access
Full Text

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 Ontology are provided. Taken together, this information allows a user to understand the evidence (or lack thereof) behind the predictions made for particular proteins. WoLF PSORT is available at wolfpsort.org.


Related Papers

No related papers found

Powered by citation graph analysis