🔬 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
0.9793
🌋 Hot Springs
0.9793
🌋 Hot Springs
0.9792
🌋 Hot Springs
0.9792
🧊 Permafrost
0.9790
🧊 Permafrost
0.9790
🧊 Permafrost
0.9790
🌋 Hot Springs
0.9790
🧊 Permafrost
0.9789
🌋 Hot Springs
0.9789
🌋 Hot Springs
0.9789
🌋 Hot Springs
0.9789
🧊 Permafrost
0.9789
🧊 Permafrost
0.9788
🌋 Hot Springs
0.9788
🧊 Permafrost
0.9787
🧊 Permafrost
0.9787
🌋 Hot Springs
0.9786
🌋 Hot Springs
0.9786
🌋 Hot Springs
0.9786
🌋 Hot Springs
0.9786
🌋 Hot Springs
0.9786
🌋 Hot Springs
0.9786
🌋 Hot Springs
0.9785
📚 Understanding the metrics