🔬 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
0.8906
🌋 Hot Springs
0.8906
🌋 Hot Springs
0.8906
🌋 Hot Springs
0.8905
🌋 Hot Springs
0.8905
🌋 Hot Springs
0.8905
🌋 Hot Springs
0.8904
🌋 Hot Springs
0.8902
🌋 Hot Springs
0.8901
🌋 Hot Springs
0.8899
🌋 Hot Springs
0.8899
🌋 Hot Springs
0.8899
🌋 Hot Springs
0.8898
🌋 Hot Springs
0.8897
🌋 Hot Springs
0.8897
🌋 Hot Springs
0.8897
🌋 Hot Springs
0.8896
🌋 Hot Springs
0.8894
🌋 Hot Springs
0.8893
🌋 Hot Springs
0.8893
🌋 Hot Springs
0.8892
🌋 Hot Springs
0.8892
🌋 Hot Springs
0.8891
🌋 Hot Springs
0.8891
📚 Understanding the metrics