🔬 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
0.8891
🌋 Hot Springs
0.8889
🌋 Hot Springs
0.8889
🌋 Hot Springs
0.8889
🌋 Hot Springs
0.8888
🌋 Hot Springs
0.8887
🌋 Hot Springs
0.8887
🌋 Hot Springs
0.8887
🌋 Hot Springs
0.8886
🌋 Hot Springs
0.8885
🌋 Hot Springs
0.8884
🌋 Hot Springs
0.8883
🌋 Hot Springs
0.8882
🌋 Hot Springs
0.8882
🌋 Hot Springs
0.8882
🌋 Hot Springs
0.8881
🌋 Hot Springs
0.8881
🌋 Hot Springs
0.8881
🌋 Hot Springs
0.8876
🌋 Hot Springs
0.8876
🌋 Hot Springs
0.8875
🌋 Hot Springs
0.8875
🌋 Hot Springs
0.8872
🌋 Hot Springs
0.8872
📚 Understanding the metrics