🔬 AMP Candidates
2,065 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.
🌋 Hot Springs
0.9359
🌋 Hot Springs
0.9359
🌋 Hot Springs
0.9358
🌋 Hot Springs
0.9357
🌋 Hot Springs
0.9357
🌋 Hot Springs
0.9357
🌋 Hot Springs
0.9354
🌋 Hot Springs
0.9354
🌋 Hot Springs
0.9354
🌋 Hot Springs
0.9351
🌋 Hot Springs
0.9351
🌋 Hot Springs
0.9350
🌋 Hot Springs
0.9350
🌋 Hot Springs
0.9349
🌋 Hot Springs
0.9347
🌋 Hot Springs
0.9347
🌋 Hot Springs
0.9347
🌋 Hot Springs
0.9347
🌋 Hot Springs
0.9347
🌋 Hot Springs
0.9346
🌋 Hot Springs
0.9346
🌋 Hot Springs
0.9346
🌋 Hot Springs
0.9345
🌋 Hot Springs
0.9345
📚 Understanding the metrics