🔬 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
0.9641
🌋 Hot Springs
0.9640
🌋 Hot Springs
0.9640
🌋 Hot Springs
0.9638
🌋 Hot Springs
0.9638
🌋 Hot Springs
0.9637
🌋 Hot Springs
0.9637
🌋 Hot Springs
0.9635
🌋 Hot Springs
0.9634
🌋 Hot Springs
0.9634
🌋 Hot Springs
0.9634
🌋 Hot Springs
0.9634
🌋 Hot Springs
0.9633
🌋 Hot Springs
0.9632
🌋 Hot Springs
0.9632
🌋 Hot Springs
0.9630
🌋 Hot Springs
0.9630
🌋 Hot Springs
0.9630
🌋 Hot Springs
0.9630
🌋 Hot Springs
0.9630
🌋 Hot Springs
0.9629
🌋 Hot Springs
0.9628
🌋 Hot Springs
0.9628
🌋 Hot Springs
0.9627
📚 Understanding the metrics