Welcome to the Home Page of iBCE-EL

iBCE-EL is a web based prediction server for linear B-cell epitope. It is an ensemble method that combined extremely randomized tree and gradient boosting algorithms, which respectively utilizes a combination of amino acid composition and physicochemical properties and a combination of dipeptide and physicochemical properties as an input features. For a given peptide, iBCE-EL predicts its calss and probability values.

Enter the protein sequences in FASTA format (Example)



iBCE-EL: A new ensemble learning framework for improved linear B-cell epitope predictions (Frontiers in Immunology).
 [Please cite this paper if you find iBCE-EL useful in your research

Contact: bala@kias.re.kr