🔬 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
0.8730
🌋 Hot Springs
0.8729
🌋 Hot Springs
0.8728
🌋 Hot Springs
0.8727
🌋 Hot Springs
0.8726
🧊 Permafrost
0.8726
🌋 Hot Springs
0.8726
🌋 Hot Springs
0.8724
🌋 Hot Springs
0.8724
🌋 Hot Springs
0.8723
🌋 Hot Springs
0.8723
🌋 Hot Springs
0.8723
🌋 Hot Springs
0.8723
🌋 Hot Springs
0.8723
🌋 Hot Springs
0.8723
🧊 Permafrost
0.8722
🧊 Permafrost
0.8722
🧊 Permafrost
0.8721
🌋 Hot Springs
0.8719
🌋 Hot Springs
0.8719
🌋 Hot Springs
0.8717
🌋 Hot Springs
0.8717
🌋 Hot Springs
0.8716
🌋 Hot Springs
0.8716
📚 Understanding the metrics