WoLF PSORT: protein localization predictor.
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.
Horton
Paul
P
Computational Biology Research Center, AIST, Tokyo, Japan.
Park
Keun-Joon
KJ
Obayashi
Takeshi
T
Fujita
Naoya
N
Harada
Hajime
H
Adams-Collier
C J
CJ
Nakai
Kenta
K
D017360:Arabidopsis; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D006801:Humans; D020407:Internet; D008565:Membrane Proteins / Q000032:analysis / Q000737:chemistry; D015233:Models, Statistical; D011381:Programming Languages; D021382:Protein Sorting Signals; D017433:Protein Structure, Secondary; D011506:Proteins / Q000032:analysis* / Q000737:chemistry*; D015203:Reproducibility of Results; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
D008565:Membrane Proteins; D021382:Protein Sorting Signals; D011506:Proteins