WoLF PSORT: Advanced Protein Subcellular Localization Prediction Tool
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.
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.
- Inner membrane proteins are recognized by the presence of either a hydrophobic stretch in the predicted mature protein or an uncleavable N-terminal signal sequence.
- Lipoproteins are first recognized by a consensus pattern and then assumed present at either the inner or outer membrane. These two possibilities are further dissected by examining an acidic residue in the mature N-terminal portion.
- Periplasmic and outer membrane proteins can be successfully differentiated by their different amino acid compositions.
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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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