🔬 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
0.9480
🌋 Hot Springs
0.9480
🌋 Hot Springs
0.9479
🌋 Hot Springs
0.9479
🌋 Hot Springs
0.9478
🌋 Hot Springs
0.9478
🌋 Hot Springs
0.9478
🌋 Hot Springs
0.9476
🌋 Hot Springs
0.9474
🌋 Hot Springs
0.9473
🌋 Hot Springs
0.9472
🌋 Hot Springs
0.9472
🌋 Hot Springs
0.9471
🌋 Hot Springs
0.9471
🌋 Hot Springs
0.9470
🌋 Hot Springs
0.9470
🌋 Hot Springs
0.9470
🌋 Hot Springs
0.9469
🌋 Hot Springs
0.9467
🌋 Hot Springs
0.9467
🌋 Hot Springs
0.9467
🌋 Hot Springs
0.9467
🌋 Hot Springs
0.9466
🌋 Hot Springs
0.9465
📚 Understanding the metrics