🔬 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
0.9627
🌋 Hot Springs
0.9626
🌋 Hot Springs
0.9625
🌋 Hot Springs
0.9624
🌋 Hot Springs
0.9623
🌋 Hot Springs
0.9623
🌋 Hot Springs
0.9622
🌋 Hot Springs
0.9621
🌋 Hot Springs
0.9621
🌋 Hot Springs
0.9620
🌋 Hot Springs
0.9619
🌋 Hot Springs
0.9619
🌋 Hot Springs
0.9618
🌋 Hot Springs
0.9618
🌋 Hot Springs
0.9618
🌋 Hot Springs
0.9617
🌋 Hot Springs
0.9616
🌋 Hot Springs
0.9616
🌋 Hot Springs
0.9616
🌋 Hot Springs
0.9616
🌋 Hot Springs
0.9615
🌋 Hot Springs
0.9614
🌋 Hot Springs
0.9614
🌋 Hot Springs
0.9612
📚 Understanding the metrics