WoLF PSORT -- Protein Subcellular Localization Prediction
What you can do:
Predict the subcellular localization sites of proteins based on their amino acid sequences.
Highlights:
- 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 prediction is shown in two ways: (i) a list of proteins of known localization with the most similar localization features to the query, and (ii) tables with detailed information about individual localization features.
- For convenience, sequence alignments of the query to similar proteins and links to UniProt and Gene Ontology are provided.
- Taken together, this information allows a user to understand the evidence (or lack thereof) behind the predictions made for particular proteins.
Keywords:
- protein subcellular location prediction
- protein location prediction
- protein localization
- subcellular localization
- psort
- psortII
Literature & Tutorials:
PubMed Link: WoLF PSORT: protein localization predictor
This record last updated: 06-02-2008