🔬 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
0.9465
🌋 Hot Springs
0.9465
🌋 Hot Springs
0.9465
🌋 Hot Springs
0.9465
🌋 Hot Springs
0.9464
🌋 Hot Springs
0.9464
🌋 Hot Springs
0.9463
🌋 Hot Springs
0.9462
🌋 Hot Springs
0.9461
🌋 Hot Springs
0.9461
🌋 Hot Springs
0.9461
🌋 Hot Springs
0.9459
🌋 Hot Springs
0.9457
🌋 Hot Springs
0.9457
🌋 Hot Springs
0.9456
🌋 Hot Springs
0.9455
🌋 Hot Springs
0.9455
🌋 Hot Springs
0.9455
🌋 Hot Springs
0.9454
🌋 Hot Springs
0.9454
🌋 Hot Springs
0.9454
🌋 Hot Springs
0.9454
🌋 Hot Springs
0.9451
🌋 Hot Springs
0.9451
📚 Understanding the metrics