🔬 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
0.9411
🧊 Permafrost
0.9407
🧊 Permafrost
0.9407
🧊 Permafrost
0.9405
🧊 Permafrost
0.9404
🧊 Permafrost
0.9402
🧊 Permafrost
0.9402
🧊 Permafrost
0.9402
🧊 Permafrost
0.9400
🧊 Permafrost
0.9398
🧊 Permafrost
0.9397
🧊 Permafrost
0.9397
🧊 Permafrost
0.9387
🧊 Permafrost
0.9387
🧊 Permafrost
0.9386
🧊 Permafrost
0.9380
🧊 Permafrost
0.9376
🧊 Permafrost
0.9372
🧊 Permafrost
0.9371
🧊 Permafrost
0.9367
🧊 Permafrost
0.9366
🧊 Permafrost
0.9365
🧊 Permafrost
0.9365
🧊 Permafrost
0.9364
📚 Understanding the metrics