🔬 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
0.8762
🧊 Permafrost
0.8754
🧊 Permafrost
0.8754
🧊 Permafrost
0.8754
🧊 Permafrost
0.8752
🧊 Permafrost
0.8749
🧊 Permafrost
0.8741
🧊 Permafrost
0.8739
🧊 Permafrost
0.8739
🧊 Permafrost
0.8738
🧊 Permafrost
0.8737
🧊 Permafrost
0.8726
🧊 Permafrost
0.8722
🧊 Permafrost
0.8722
🧊 Permafrost
0.8721
🧊 Permafrost
0.8710
🧊 Permafrost
0.8708
🧊 Permafrost
0.8708
🧊 Permafrost
0.8705
🧊 Permafrost
0.8705
🧊 Permafrost
0.8701
🧊 Permafrost
0.8701
📚 Understanding the metrics