🔬 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
0.9867
🌋 Hot Springs
0.9867
🌋 Hot Springs
0.9865
🌋 Hot Springs
0.9864
🌋 Hot Springs
0.9864
🌋 Hot Springs
0.9863
🌋 Hot Springs
0.9862
🌋 Hot Springs
0.9861
🌋 Hot Springs
0.9860
🌋 Hot Springs
0.9858
🌋 Hot Springs
0.9858
🌋 Hot Springs
0.9858
🌋 Hot Springs
0.9857
🌋 Hot Springs
0.9857
🌋 Hot Springs
0.9857
🌋 Hot Springs
0.9857
🌋 Hot Springs
0.9856
🌋 Hot Springs
0.9856
🌋 Hot Springs
0.9856
🌋 Hot Springs
0.9855
🌋 Hot Springs
0.9855
🌋 Hot Springs
0.9854
🌋 Hot Springs
0.9853
🌋 Hot Springs
0.9853
📚 Understanding the metrics