🔬 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
≥0.9999
🧊 Permafrost
≥0.9999
🧊 Permafrost
≥0.9999
🧊 Permafrost
0.9995
🧊 Permafrost
0.9994
🧊 Permafrost
0.9991
🧊 Permafrost
0.9990
🧊 Permafrost
0.9989
🧊 Permafrost
0.9988
🧊 Permafrost
0.9988
🧊 Permafrost
0.9987
🧊 Permafrost
0.9987
🧊 Permafrost
0.9985
🧊 Permafrost
0.9985
🧊 Permafrost
0.9985
🧊 Permafrost
0.9984
🧊 Permafrost
0.9984
🧊 Permafrost
0.9981
🧊 Permafrost
0.9980
🧊 Permafrost
0.9980
🧊 Permafrost
0.9979
🧊 Permafrost
0.9979
🧊 Permafrost
0.9979
🧊 Permafrost
0.9977
📚 Understanding the metrics