🔬 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
0.8976
🌋 Hot Springs
0.8976
🌋 Hot Springs
0.8976
🌋 Hot Springs
0.8975
🌋 Hot Springs
0.8973
🌋 Hot Springs
0.8972
🌋 Hot Springs
0.8972
🌋 Hot Springs
0.8971
🌋 Hot Springs
0.8971
🌋 Hot Springs
0.8971
🌋 Hot Springs
0.8967
🌋 Hot Springs
0.8966
🌋 Hot Springs
0.8966
🌋 Hot Springs
0.8966
🌋 Hot Springs
0.8964
🌋 Hot Springs
0.8964
🌋 Hot Springs
0.8964
🌋 Hot Springs
0.8963
🌋 Hot Springs
0.8962
🌋 Hot Springs
0.8962
🌋 Hot Springs
0.8962
🌋 Hot Springs
0.8961
🌋 Hot Springs
0.8961
🌋 Hot Springs
0.8960
📚 Understanding the metrics