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Advanced computational tool for protein subcellular localization prediction
WoLF PSORT is an extension of the PSORT II program for protein subcellular localization prediction, which is based on the PSORT principle. WoLF PSORT converts a protein's amino acid sequences into numerical localization features; based on sorting signals, amino acid composition and functional motifs. After conversion, a simple k-nearest neighbor classifier is used for prediction. To predict the subcellular localization of your target protein, simply paste your protein's amino acid sequence (single letter code) in the WoLF PSORT window below and click submit.
Note: Recommended for fungal, animal or plant sequences. Characters other than the standard 20 codes will be eliminated.
PSORT prediction tool uses amino acid sequence information to reliably predict protein localization sites, based on rules derived from experimental observations. For example, gram negative bacteria have four localization sites: cytoplasm, inner membrane, periplasm and the outer membrane.
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WoLF PSORT is an extension of PSORT II, developed by Paul Horton et al. Computational Biology Research Center, AIST, Japan
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