Protein Subcellular Localisation Prediction with WoLF PSORT
نویسندگان
چکیده
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%.
منابع مشابه
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 ...
متن کاملWomen's Health Initiative.
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 ...
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