🔬 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.
🧊 Permafrost
0.9113
🌋 Hot Springs
0.9112
🌋 Hot Springs
0.9112
🌋 Hot Springs
0.9111
🌋 Hot Springs
0.9111
🌋 Hot Springs
0.9110
🌋 Hot Springs
0.9110
🌋 Hot Springs
0.9110
🌋 Hot Springs
0.9109
🌋 Hot Springs
0.9109
🌋 Hot Springs
0.9109
🌋 Hot Springs
0.9108
🧊 Permafrost
0.9107
🌋 Hot Springs
0.9106
🌋 Hot Springs
0.9106
🌋 Hot Springs
0.9106
🌋 Hot Springs
0.9105
🧊 Permafrost
0.9104
🧊 Permafrost
0.9103
🌋 Hot Springs
0.9102
🧊 Permafrost
0.9102
🧊 Permafrost
0.9101
🧊 Permafrost
0.9100
🧊 Permafrost
0.9100
📚 Understanding the metrics