🔬 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
0.8769
🌋 Hot Springs
0.8769
🌋 Hot Springs
0.8769
🌋 Hot Springs
0.8768
🌋 Hot Springs
0.8768
🌋 Hot Springs
0.8767
🌋 Hot Springs
0.8764
🌋 Hot Springs
0.8764
🌋 Hot Springs
0.8764
🌋 Hot Springs
0.8763
🌋 Hot Springs
0.8763
🌋 Hot Springs
0.8763
🌋 Hot Springs
0.8761
🌋 Hot Springs
0.8760
🌋 Hot Springs
0.8759
🌋 Hot Springs
0.8759
🌋 Hot Springs
0.8759
🌋 Hot Springs
0.8756
🌋 Hot Springs
0.8755
🌋 Hot Springs
0.8754
🌋 Hot Springs
0.8753
🌋 Hot Springs
0.8752
🌋 Hot Springs
0.8752
🌋 Hot Springs
0.8752
📚 Understanding the metrics