🔬 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
0.9075
🌋 Hot Springs
0.9075
🧊 Permafrost
0.9073
🧊 Permafrost
0.9073
🌋 Hot Springs
0.9072
🌋 Hot Springs
0.9072
🌋 Hot Springs
0.9072
🌋 Hot Springs
0.9071
🌋 Hot Springs
0.9071
🌋 Hot Springs
0.9071
🌋 Hot Springs
0.9069
🧊 Permafrost
0.9069
🌋 Hot Springs
0.9069
🌋 Hot Springs
0.9068
🧊 Permafrost
0.9067
🌋 Hot Springs
0.9067
🌋 Hot Springs
0.9066
🌋 Hot Springs
0.9066
🌋 Hot Springs
0.9063
🌋 Hot Springs
0.9062
🌋 Hot Springs
0.9062
🌋 Hot Springs
0.9061
🌋 Hot Springs
0.9061
🌋 Hot Springs
0.9060
📚 Understanding the metrics