🔬 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
0.9468
🧊 Permafrost
0.9466
🧊 Permafrost
0.9464
🧊 Permafrost
0.9464
🧊 Permafrost
0.9458
🧊 Permafrost
0.9458
🧊 Permafrost
0.9455
🧊 Permafrost
0.9455
🧊 Permafrost
0.9452
🧊 Permafrost
0.9451
🧊 Permafrost
0.9449
🧊 Permafrost
0.9449
🧊 Permafrost
0.9448
🧊 Permafrost
0.9437
🧊 Permafrost
0.9437
🧊 Permafrost
0.9435
🧊 Permafrost
0.9433
🧊 Permafrost
0.9424
🧊 Permafrost
0.9424
🧊 Permafrost
0.9424
🧊 Permafrost
0.9417
🧊 Permafrost
0.9415
🧊 Permafrost
0.9413
🧊 Permafrost
0.9413
📚 Understanding the metrics