🔬 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
0.9161
🌋 Hot Springs
0.9161
🌋 Hot Springs
0.9161
🌋 Hot Springs
0.9160
🌋 Hot Springs
0.9159
🌋 Hot Springs
0.9158
🌋 Hot Springs
0.9158
🌋 Hot Springs
0.9156
🌋 Hot Springs
0.9156
🌋 Hot Springs
0.9156
🌋 Hot Springs
0.9156
🌋 Hot Springs
0.9154
🌋 Hot Springs
0.9152
🌋 Hot Springs
0.9152
🌋 Hot Springs
0.9151
🌋 Hot Springs
0.9150
🌋 Hot Springs
0.9147
🌋 Hot Springs
0.9146
🌋 Hot Springs
0.9146
🌋 Hot Springs
0.9146
🌋 Hot Springs
0.9145
🌋 Hot Springs
0.9145
🌋 Hot Springs
0.9145
🌋 Hot Springs
0.9144
📚 Understanding the metrics