🔬 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
0.9711
🌋 Hot Springs
0.9710
🌋 Hot Springs
0.9709
🌋 Hot Springs
0.9708
🌋 Hot Springs
0.9708
🌋 Hot Springs
0.9706
🌋 Hot Springs
0.9706
🌋 Hot Springs
0.9704
🌋 Hot Springs
0.9704
🌋 Hot Springs
0.9703
🌋 Hot Springs
0.9703
🌋 Hot Springs
0.9702
🌋 Hot Springs
0.9702
🌋 Hot Springs
0.9701
🌋 Hot Springs
0.9700
🌋 Hot Springs
0.9700
🌋 Hot Springs
0.9699
🌋 Hot Springs
0.9698
🌋 Hot Springs
0.9697
🌋 Hot Springs
0.9697
🌋 Hot Springs
0.9697
🌋 Hot Springs
0.9696
🌋 Hot Springs
0.9696
🌋 Hot Springs
0.9696
📚 Understanding the metrics