🔬 AMP Candidates
646 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
0.9737
🧊 Permafrost
0.9734
🧊 Permafrost
0.9725
🧊 Permafrost
0.9725
🧊 Permafrost
0.9724
🧊 Permafrost
0.9724
🧊 Permafrost
0.9719
🧊 Permafrost
0.9717
🧊 Permafrost
0.9714
🧊 Permafrost
0.9712
🧊 Permafrost
0.9710
🧊 Permafrost
0.9710
🧊 Permafrost
0.9708
🧊 Permafrost
0.9708
🧊 Permafrost
0.9707
🧊 Permafrost
0.9707
🧊 Permafrost
0.9707
🧊 Permafrost
0.9706
🧊 Permafrost
0.9704
🧊 Permafrost
0.9704
🧊 Permafrost
0.9702
🧊 Permafrost
0.9701
🧊 Permafrost
0.9698
🧊 Permafrost
0.9696
📚 Understanding the metrics