Welcome to the Home Page of AtbPpred


AtbPpred is web based prediction server for anti-tubercular peptides. Gradient boosting based prediction model was developed using optimal feature set from a combination of dipeptide composition and physicochemical properties, which was obtained through a two-step feature selection protocol. For a given peptide, AtbPpred predicts its calss and probability values.


Enter the protein sequences in FASTA format (Example).



File:








Reference

AtbPpred: Sequence-based robust prediction of anti-tubercular peptides using a two-step feature selection method 
Please cite this paper if you find AtbPpred useful in your research

Contact: bala@kias.re.kr