Welcome to the Home Page of PIP-EL

PIP-EL is web based prediction server for pro-inflammatory inducing peptides. Technically, PIP-EL was the fusion of 50 independent RF models, where each of the five different compositions including amino acid, dipeptide, composition-transition-distribution, physicochemical properties and amino acid index contained 10 RF models. For a given peptide, PIP-EL predicts its calss and probability values.

Enter the protein sequences in FASTA format (Example)



PIP-EL: a new ensemble learning method for improved pro-inflammatory inducing peptide predictions(Frontiers in Immunology).
 [Please cite this paper if you find PIP-EL useful in your research

Contact: bala@kias.re.kr