🔬 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
0.9181
🌋 Hot Springs
0.9180
🌋 Hot Springs
0.9179
🌋 Hot Springs
0.9179
🌋 Hot Springs
0.9178
🌋 Hot Springs
0.9175
🌋 Hot Springs
0.9175
🌋 Hot Springs
0.9174
🌋 Hot Springs
0.9173
🌋 Hot Springs
0.9173
🌋 Hot Springs
0.9171
🌋 Hot Springs
0.9170
🌋 Hot Springs
0.9168
🌋 Hot Springs
0.9168
🌋 Hot Springs
0.9168
🌋 Hot Springs
0.9167
🌋 Hot Springs
0.9167
🌋 Hot Springs
0.9164
🌋 Hot Springs
0.9163
🌋 Hot Springs
0.9163
🌋 Hot Springs
0.9163
🌋 Hot Springs
0.9163
🌋 Hot Springs
0.9162
🌋 Hot Springs
0.9162
📚 Understanding the metrics