AIPpred is web based prediction server for Anti-inflammatory peptides. A Random forest based prediction model was developed by utilizing optimal DPC as an input feature. For a given peptide, AIPpred predicts its calss and probability values.
Enter the peptide sequences in FASTA format (Example). Please make sure the given peptide length range between 5-25 amino acids
Reference
AIPpred: sequence-based prediction of anti-inflammatory peptides using random forest (Frontiers in Pharmacology). [Please cite this paper if you find AIPpred useful in your research]
