🔬 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
0.9853
🌋 Hot Springs
0.9853
🌋 Hot Springs
0.9852
🌋 Hot Springs
0.9851
🌋 Hot Springs
0.9849
🌋 Hot Springs
0.9849
🌋 Hot Springs
0.9849
🌋 Hot Springs
0.9849
🌋 Hot Springs
0.9848
🌋 Hot Springs
0.9848
🌋 Hot Springs
0.9847
🌋 Hot Springs
0.9846
🌋 Hot Springs
0.9845
🌋 Hot Springs
0.9844
🌋 Hot Springs
0.9843
🌋 Hot Springs
0.9843
🌋 Hot Springs
0.9842
🌋 Hot Springs
0.9842
🌋 Hot Springs
0.9840
🌋 Hot Springs
0.9839
🌋 Hot Springs
0.9838
🌋 Hot Springs
0.9837
🌋 Hot Springs
0.9836
🌋 Hot Springs
0.9835
📚 Understanding the metrics