🔬 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
0.9097
🌋 Hot Springs
0.9097
🌋 Hot Springs
0.9097
🌋 Hot Springs
0.9097
🌋 Hot Springs
0.9096
🌋 Hot Springs
0.9096
🌋 Hot Springs
0.9096
🌋 Hot Springs
0.9096
🌋 Hot Springs
0.9096
🌋 Hot Springs
0.9096
🌋 Hot Springs
0.9095
🌋 Hot Springs
0.9095
🌋 Hot Springs
0.9094
🌋 Hot Springs
0.9092
🌋 Hot Springs
0.9090
🌋 Hot Springs
0.9090
🌋 Hot Springs
0.9089
🌋 Hot Springs
0.9087
🌋 Hot Springs
0.9086
🌋 Hot Springs
0.9086
🌋 Hot Springs
0.9083
🌋 Hot Springs
0.9081
🌋 Hot Springs
0.9080
🌋 Hot Springs
0.9080
📚 Understanding the metrics