Protein Subcellular Localization Prediction with WoLF PSORT

Paul Horton, Keun-Joon Park, Takeshi Obayashi & Kenta Nakai

Proceedings of Asian Pacific Bioinformatics Conference 2006, Taipei, Taiwan.

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 about 1/3 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%.

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