🔬 AMP Candidates
2,713 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
0.9494
🌋 Hot Springs
0.9494
🌋 Hot Springs
0.9493
🌋 Hot Springs
0.9493
🧊 Permafrost
0.9493
🌋 Hot Springs
0.9491
🧊 Permafrost
0.9491
🌋 Hot Springs
0.9490
🌋 Hot Springs
0.9490
🌋 Hot Springs
0.9490
🌋 Hot Springs
0.9490
🌋 Hot Springs
0.9489
🌋 Hot Springs
0.9489
🌋 Hot Springs
0.9488
🌋 Hot Springs
0.9488
🧊 Permafrost
0.9485
🌋 Hot Springs
0.9484
🧊 Permafrost
0.9483
🌋 Hot Springs
0.9483
🧊 Permafrost
0.9483
🌋 Hot Springs
0.9482
🌋 Hot Springs
0.9482
🌋 Hot Springs
0.9481
🌋 Hot Springs
0.9480
📚 Understanding the metrics