Generate novel antimicrobial peptides using our GPT-based models. Choose a training model, specify the peptide length and quantity, then submit to start generation.
Supported lengths: AMP Identifier 5–298 residues; MIC Classifiers 5–50; Hemolysis Predictor 6–200. Unsupported predictions are N/A. If a required prediction is unavailable, Score is N/A and Evaluate is Incomplete. Input accepts the 20 standard amino acids and X (unknown residue); X is marked with a warning. Other non-whitespace characters are rejected. Warnings and original sequence names are included in the CSV.
AMP Score: Probability of being an antimicrobial peptide (0-1)
0.998
E.coli Score: Probability of antimicrobial activity against E.coli (0-1)
0.9980798959732056
S.aureus Score: Probability of antimicrobial activity against S.aureus (0-1)
0.9989857077598572
Hemolytic Score: Probability of non-hemolytic activity (0-1), higher is safer
0.5Score: Cumulative score based on all evaluated criteria
Good
Mediocre
Bad
💡 Note:
1. The scoring system adapts based on your selected target.
Broad-spectrum targets evaluate both E.coli and S.aureus (max 4 points),
while specific targets only evaluate the relevant pathogen (max 3 points).
2. All submitted sequences remain in the results. Predictions outside a model’s supported length range are N/A, and incomplete evaluations are marked Incomplete.
⚠️ Important: These predictions are computational estimates. High-scoring peptides should be validated experimentally before clinical or commercial use.