This bot predicts the localisation site of protein in a yeast cell. The model has been trained using 1484 sample data sets from [1]. Predicted sites can be any of the following: CYT, ME1, ME2, ME3, MIT, NUC, POX, VAC.

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The model requires the following attributes to work:

• [mcg]: McGeoch’s method for signal sequence recognition.
• [gvh]: von Heijne’s method for signal sequence recognition.
• [alm]: Score of the ALOM membrane spanning region prediction program.
• [mit]: Score of discriminant analysis of the amino acid content of the N-terminal region (20 residues long) of mitochondrial and non-mitochondrial proteins.
• [erl]: Presence of “HDEL” substring (thought to act as a signal for retention in the endoplasmic reticulum lumen).
• [pox]: Peroxisomal targeting signal in the C-terminus.
• [vac]: Score of discriminant analysis of the amino acid content of vacuolar and extracellular proteins.
• [nuc]: Score of discriminant analysis of nuclear localization signals of nuclear and non-nuclear proteins.

Credit: Data from Kenta Nakai, Institute of Molecular and Cellular Biology Osaka, University