🔬 AMP Candidates
2,065 computationally predicted antimicrobial peptide candidates
🧬 About these candidates
Each candidate was identified by mining extreme-environment metagenomes with ESM-2, a protein language model trained on 250M sequences. Candidates pass multi-stage filtering: biophysical scoring, novelty screening against 863K known AMPs (APD3 + DRAMP + AMPSphere), hemolysis risk prediction, and structural validation via AlphaFold2.
⚠️ All candidates are computationally predicted — no experimental validation has been performed.
🌋 Hot Springs
0.9377
🌋 Hot Springs
0.9377
🌋 Hot Springs
0.9374
🌋 Hot Springs
0.9373
🌋 Hot Springs
0.9372
🌋 Hot Springs
0.9372
🌋 Hot Springs
0.9371
🌋 Hot Springs
0.9370
🌋 Hot Springs
0.9370
🌋 Hot Springs
0.9368
🌋 Hot Springs
0.9367
🌋 Hot Springs
0.9367
🌋 Hot Springs
0.9367
🌋 Hot Springs
0.9367
🌋 Hot Springs
0.9366
🌋 Hot Springs
0.9366
🌋 Hot Springs
0.9365
🌋 Hot Springs
0.9365
🌋 Hot Springs
0.9364
🌋 Hot Springs
0.9361
🌋 Hot Springs
0.9361
🌋 Hot Springs
0.9360
🌋 Hot Springs
0.9359
🌋 Hot Springs
0.9359
📚 Understanding the metrics