🔬 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
0.9357
🧊 Permafrost
0.9354
🧊 Permafrost
0.9353
🧊 Permafrost
0.9351
🧊 Permafrost
0.9349
🧊 Permafrost
0.9346
🧊 Permafrost
0.9346
🧊 Permafrost
0.9345
🧊 Permafrost
0.9343
🧊 Permafrost
0.9337
🧊 Permafrost
0.9334
🧊 Permafrost
0.9332
🧊 Permafrost
0.9332
🧊 Permafrost
0.9332
🧊 Permafrost
0.9331
🧊 Permafrost
0.9330
🧊 Permafrost
0.9330
🧊 Permafrost
0.9330
🧊 Permafrost
0.9322
🧊 Permafrost
0.9321
🧊 Permafrost
0.9321
🧊 Permafrost
0.9315
🧊 Permafrost
0.9315
🧊 Permafrost
0.9312
📚 Understanding the metrics