🔬 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
0.9960
🌋 Hot Springs
0.9960
🌋 Hot Springs
0.9960
🌋 Hot Springs
0.9959
🌋 Hot Springs
0.9959
🌋 Hot Springs
0.9958
🌋 Hot Springs
0.9958
🌋 Hot Springs
0.9957
🌋 Hot Springs
0.9957
🌋 Hot Springs
0.9957
🌋 Hot Springs
0.9957
🌋 Hot Springs
0.9957
🌋 Hot Springs
0.9957
🌋 Hot Springs
0.9957
🌋 Hot Springs
0.9957
🌋 Hot Springs
0.9956
🌋 Hot Springs
0.9956
🌋 Hot Springs
0.9956
🌋 Hot Springs
0.9956
🌋 Hot Springs
0.9955
🌋 Hot Springs
0.9955
🌋 Hot Springs
0.9954
🌋 Hot Springs
0.9954
🌋 Hot Springs
0.9954
📚 Understanding the metrics