Welcome to the Home Page of AtbPpred

AtbPpred is a web based two-layer prediction server for anti-tubercular peptides. In the first layer, we applied a two-step feature selection procedure and identified the optimal feature set individually for nine different feature encodings, whose corresponding models were developed using extremely randomized tree (ERT). In the second-layer, the predicted probability of AtbPs from the above nine models were considered as input features to ERT and developed the final predictor. For a given peptide, AtbPpred predicts its class and probability values.

Enter the protein sequences in FASTA format.

File:

Sample FASTA sequences

>P1
AAPEPVARR
>P2
ELNNALQNL
>P3
FIKWKFRWWKWRK
>N1
KAKGELPAKG
>N2
AALRGCWTKSIPPKP
>N3
NVAVTLLDKL