Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPs

 

Workflow:

Hybrid Feature:

Training ACC and AUC values:

 

[Lertampaiporn S, Vorapreeda T, Hongsthong A, Thammarongtham C. Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPs. Genes (Basel). 2021 Jan 21;12(2):137. doi: 10.3390/genes12020137. PMID: 33494403; PMCID: PMC7911732.]

 

Download Link: Training and Testing data, Standalone Program

 

Command:  perl EnsembleAMPPred.pl fasta_file (MaxProbVote model)

OR        perl EnsembleAMPPred_Model2.pl fasta_file (Majority Vote Model)

OR        perl EnsembleAMPPred_Model3.pl fasta_file (RF model)

***** Fasta sequence must has length > 10 aa and contains only standard amino acids   *****