🔬 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
0.9050
🧊 Permafrost
0.9048
🧊 Permafrost
0.9047
🧊 Permafrost
0.9045
🧊 Permafrost
0.9045
🧊 Permafrost
0.9035
🧊 Permafrost
0.9032
🧊 Permafrost
0.9028
🧊 Permafrost
0.9020
🧊 Permafrost
0.9013
🧊 Permafrost
0.9010
🧊 Permafrost
0.9010
🧊 Permafrost
0.8997
🧊 Permafrost
0.8994
🧊 Permafrost
0.8994
🧊 Permafrost
0.8991
🧊 Permafrost
0.8986
🧊 Permafrost
0.8986
🧊 Permafrost
0.8986
🧊 Permafrost
0.8983
🧊 Permafrost
0.8983
🧊 Permafrost
0.8983
🧊 Permafrost
0.8982
🧊 Permafrost
0.8982
📚 Understanding the metrics