🔬 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
0.9885
🌋 Hot Springs
0.9884
🌋 Hot Springs
0.9884
🌋 Hot Springs
0.9884
🌋 Hot Springs
0.9882
🧊 Permafrost
0.9882
🧊 Permafrost
0.9881
🧊 Permafrost
0.9881
🌋 Hot Springs
0.9880
🌋 Hot Springs
0.9880
🌋 Hot Springs
0.9880
🧊 Permafrost
0.9879
🧊 Permafrost
0.9879
🌋 Hot Springs
0.9879
🧊 Permafrost
0.9879
🧊 Permafrost
0.9876
🌋 Hot Springs
0.9875
🧊 Permafrost
0.9875
🧊 Permafrost
0.9875
🌋 Hot Springs
0.9875
🧊 Permafrost
0.9875
🌋 Hot Springs
0.9875
🌋 Hot Springs
0.9874
🧊 Permafrost
0.9874
📚 Understanding the metrics