🔬 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
0.9785
🌋 Hot Springs
0.9785
🌋 Hot Springs
0.9784
🌋 Hot Springs
0.9784
🌋 Hot Springs
0.9784
🌋 Hot Springs
0.9784
🧊 Permafrost
0.9784
🌋 Hot Springs
0.9783
🌋 Hot Springs
0.9783
🌋 Hot Springs
0.9783
🌋 Hot Springs
0.9783
🌋 Hot Springs
0.9782
🌋 Hot Springs
0.9782
🧊 Permafrost
0.9781
🌋 Hot Springs
0.9781
🧊 Permafrost
0.9780
🧊 Permafrost
0.9780
🌋 Hot Springs
0.9780
🌋 Hot Springs
0.9780
🌋 Hot Springs
0.9780
🌋 Hot Springs
0.9779
🌋 Hot Springs
0.9779
🧊 Permafrost
0.9778
🧊 Permafrost
0.9778
📚 Understanding the metrics