🔬 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
0.8715
🌋 Hot Springs
0.8715
🌋 Hot Springs
0.8715
🌋 Hot Springs
0.8714
🌋 Hot Springs
0.8714
🌋 Hot Springs
0.8714
🌋 Hot Springs
0.8714
🌋 Hot Springs
0.8713
🌋 Hot Springs
0.8713
🌋 Hot Springs
0.8711
🌋 Hot Springs
0.8711
🧊 Permafrost
0.8710
🧊 Permafrost
0.8708
🧊 Permafrost
0.8708
🌋 Hot Springs
0.8708
🌋 Hot Springs
0.8705
🧊 Permafrost
0.8705
🧊 Permafrost
0.8705
🌋 Hot Springs
0.8704
🌋 Hot Springs
0.8703
🌋 Hot Springs
0.8702
🌋 Hot Springs
0.8702
🌋 Hot Springs
0.8702
🧊 Permafrost
0.8701
📚 Understanding the metrics