🔬 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
0.9570
🧊 Permafrost
0.9570
🧊 Permafrost
0.9570
🧊 Permafrost
0.9564
🧊 Permafrost
0.9564
🧊 Permafrost
0.9563
🧊 Permafrost
0.9559
🧊 Permafrost
0.9557
🧊 Permafrost
0.9557
🧊 Permafrost
0.9556
🧊 Permafrost
0.9555
🧊 Permafrost
0.9555
🧊 Permafrost
0.9552
🧊 Permafrost
0.9548
🧊 Permafrost
0.9544
🧊 Permafrost
0.9542
🧊 Permafrost
0.9541
🧊 Permafrost
0.9540
🧊 Permafrost
0.9540
🧊 Permafrost
0.9530
🧊 Permafrost
0.9530
🧊 Permafrost
0.9528
🧊 Permafrost
0.9526
🧊 Permafrost
0.9523
📚 Understanding the metrics