An SVM based algorithm for rare Palmitoylation Prediction

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RAREPalm has two different SVM models to predict the palmitoylated glycine and serine regions in protein sequences. We have provided the datasets used for developing the models.

Training Datasets

For Glycine

For Serine

Independent Datasets

For Glycine

For Serine

Source Code

Because RAREPalm web-server can predict a maximum of 5 sequences at a time, therefore for user's convenience standalone package of RAREPalm is also created. The package has a file 'README' which describes its installation steps and use.

RAREPalm

RARE Palm

A Prediction Server for Palmitoylated Glycine and Serine Residues

Downloads

Training Datasets

Independent Datasets

Source Code

Find Palmitoylated Cysteine

If you use RAREPalm for predicting palmitoylated glycine or serine peptide(s), please cite:
Kumari B, Kumar R, Kumar M (2018) Prediction of Rare Palmitoylation Events in Proteins. J Comput Biol. 25(9):997-1008. doi:10.1089/cmb.2017.0069

RARE Palm

A Prediction Server for Palmitoylated Glycine and Serine Residues

Downloads

Training Datasets

Independent Datasets

Source Code

Find Palmitoylated Cysteine

If you use RAREPalm for predicting palmitoylated glycine or serine peptide(s), please cite: Kumari B, Kumar R, Kumar M (2018) Prediction of Rare Palmitoylation Events in Proteins. J Comput Biol. 25(9):997-1008. doi:10.1089/cmb.2017.0069

If you use RAREPalm for predicting palmitoylated glycine or serine peptide(s), please cite:
Kumari B, Kumar R, Kumar M (2018) Prediction of Rare Palmitoylation Events in Proteins. J Comput Biol. 25(9):997-1008. doi:10.1089/cmb.2017.0069