🔬 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
0.9199
🌋 Hot Springs
0.9199
🌋 Hot Springs
0.9198
🌋 Hot Springs
0.9198
🌋 Hot Springs
0.9197
🌋 Hot Springs
0.9197
🌋 Hot Springs
0.9196
🌋 Hot Springs
0.9196
🌋 Hot Springs
0.9196
🌋 Hot Springs
0.9195
🌋 Hot Springs
0.9195
🌋 Hot Springs
0.9195
🌋 Hot Springs
0.9194
🌋 Hot Springs
0.9192
🌋 Hot Springs
0.9191
🌋 Hot Springs
0.9190
🌋 Hot Springs
0.9187
🌋 Hot Springs
0.9185
🌋 Hot Springs
0.9184
🌋 Hot Springs
0.9182
🌋 Hot Springs
0.9182
🌋 Hot Springs
0.9182
🌋 Hot Springs
0.9181
🌋 Hot Springs
0.9181
📚 Understanding the metrics