🔬 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
0.9024
🌋 Hot Springs
0.9024
🌋 Hot Springs
0.9023
🌋 Hot Springs
0.9023
🌋 Hot Springs
0.9022
🌋 Hot Springs
0.9020
🌋 Hot Springs
0.9017
🌋 Hot Springs
0.9017
🌋 Hot Springs
0.9017
🌋 Hot Springs
0.9016
🌋 Hot Springs
0.9016
🌋 Hot Springs
0.9015
🌋 Hot Springs
0.9015
🌋 Hot Springs
0.9012
🌋 Hot Springs
0.9011
🌋 Hot Springs
0.9011
🌋 Hot Springs
0.9011
🌋 Hot Springs
0.9010
🌋 Hot Springs
0.9009
🌋 Hot Springs
0.9008
🌋 Hot Springs
0.9006
🌋 Hot Springs
0.9006
🌋 Hot Springs
0.9006
🌋 Hot Springs
0.9005
📚 Understanding the metrics