🔬 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
0.8871
🌋 Hot Springs
0.8869
🌋 Hot Springs
0.8869
🌋 Hot Springs
0.8868
🌋 Hot Springs
0.8868
🌋 Hot Springs
0.8868
🌋 Hot Springs
0.8868
🌋 Hot Springs
0.8868
🌋 Hot Springs
0.8868
🌋 Hot Springs
0.8867
🌋 Hot Springs
0.8866
🌋 Hot Springs
0.8866
🌋 Hot Springs
0.8865
🌋 Hot Springs
0.8864
🌋 Hot Springs
0.8864
🌋 Hot Springs
0.8864
🌋 Hot Springs
0.8864
🌋 Hot Springs
0.8862
🌋 Hot Springs
0.8862
🌋 Hot Springs
0.8862
🌋 Hot Springs
0.8862
🌋 Hot Springs
0.8862
🌋 Hot Springs
0.8860
🌋 Hot Springs
0.8860
📚 Understanding the metrics