Welcome to the Home Page of iGHBP

iGHBP is web based prediction server for growth hormone binding proteins. Extremely randomized tree based prediction model was developed using optimal feature set from a combination of dipeptide composition and amino acid index, which was obtained through a two-step feature selection protocol. For a given protein, iGHBP predicts its calss and probability values.

Enter the protein sequences in FASTA format (Example).



iGHBP: Computational Identification of Growth Hormone Binding Proteins from Sequences Using Extremely Randomised Tree (Computational & Structural Biotechnology Journal16, 412-420).  
Please cite this paper if you find iGHBP useful in your research

Contact: bala@kias.re.kr