🔬 AMP Candidates
2,065 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
0.9143
🌋 Hot Springs
0.9141
🌋 Hot Springs
0.9141
🌋 Hot Springs
0.9140
🌋 Hot Springs
0.9140
🌋 Hot Springs
0.9138
🌋 Hot Springs
0.9136
🌋 Hot Springs
0.9136
🌋 Hot Springs
0.9135
🌋 Hot Springs
0.9135
🌋 Hot Springs
0.9134
🌋 Hot Springs
0.9132
🌋 Hot Springs
0.9131
🌋 Hot Springs
0.9130
🌋 Hot Springs
0.9129
🌋 Hot Springs
0.9127
🌋 Hot Springs
0.9127
🌋 Hot Springs
0.9124
🌋 Hot Springs
0.9121
🌋 Hot Springs
0.9120
🌋 Hot Springs
0.9120
🌋 Hot Springs
0.9120
🌋 Hot Springs
0.9119
🌋 Hot Springs
0.9119
📚 Understanding the metrics