RF-Phos: Random Forest based Predictor for Protein Phosphorylation Sites

Protein phosphorylation, mediated by protein kinases, is the most common posttranslational modification in eukaryotes. Phosphorylation can impact the biological function of a given cellular protein by modulating parameters such as enzymatic activity, protein-protein interactions, subcellular localization and protein stability. In eukaryotes, phosphorylation typically occurs on three amino acids, namely serine, threonine and tyrosine. RF-Phos is a general computational phosphosite predictor that annotates putative phosphorylation sites in a protein given only the primary amino acid sequence of the protein as an input.
Query sequence

Enter a single valid protein sequence in fasta format(click to paste example sequence)

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Supporting publications

Ismail, H., Jones, A., Kim, J.H., Newman R.H., KC D.B. "RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest",BioMed Research International, 2016, 3281590. Link: Journal Link