Protein subcellular localization prediction with WoLF PSORT

Paul Hortona, Keun Joon Park, Takeshi Obayashi, Kenta Nakai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

149 Citations (Scopus)

Abstract

We present a new program for predicting protein subcellular localization from amino acid sequence. WoLF PSORT is a major update to the PSORTII program, based on new sequence data and incorporating new features with a feature selection procedure. Following SWISS-PROT, we divided eukaryotes into three groups: fungi, plant, and animal. For the 2113 fungi proteins divided into 14 categories; we found that, combined with BLAST, WoLF PSORT yields a cross-validated accuracy of 83%, eliminating about1/3 of the errors made when using BLAST alone. For 12771 animal proteins a combined accuracy of 95.6% is obtained, eliminating 1/4 of BLAST alone errors, and for 2333 plant proteins the accuracy can be improved to 86% from 84%.

Original languageEnglish
Title of host publicationProceedings of the 4th Asia-Pacific Bioinformatics Conference, APBC 2006
Pages39-48
Number of pages10
Publication statusPublished - 2006 Dec 1
Externally publishedYes
Event4th Asia-Pacific Bioinformatics Conference, APBC 2006 - Taipei, Taiwan, Province of China
Duration: 2006 Feb 132006 Feb 16

Publication series

NameSeries on Advances in Bioinformatics and Computational Biology
Volume3
ISSN (Print)1751-6404

Other

Other4th Asia-Pacific Bioinformatics Conference, APBC 2006
Country/TerritoryTaiwan, Province of China
CityTaipei
Period06/2/1306/2/16

ASJC Scopus subject areas

  • Bioengineering
  • Information Systems

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