🔬 AMP Candidates
2,713 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
0.9839
🌋 Hot Springs
0.9838
🧊 Permafrost
0.9837
🌋 Hot Springs
0.9837
🌋 Hot Springs
0.9836
🌋 Hot Springs
0.9835
🌋 Hot Springs
0.9835
🌋 Hot Springs
0.9835
🌋 Hot Springs
0.9834
🌋 Hot Springs
0.9834
🌋 Hot Springs
0.9833
🌋 Hot Springs
0.9832
🧊 Permafrost
0.9832
🌋 Hot Springs
0.9831
🌋 Hot Springs
0.9831
🧊 Permafrost
0.9831
🌋 Hot Springs
0.9830
🌋 Hot Springs
0.9829
🧊 Permafrost
0.9829
🧊 Permafrost
0.9829
🌋 Hot Springs
0.9829
🌋 Hot Springs
0.9829
🌋 Hot Springs
0.9829
🌋 Hot Springs
0.9829
📚 Understanding the metrics