🔬 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
0.8794
🌋 Hot Springs
0.8793
🌋 Hot Springs
0.8791
🌋 Hot Springs
0.8791
🌋 Hot Springs
0.8790
🌋 Hot Springs
0.8790
🌋 Hot Springs
0.8790
🌋 Hot Springs
0.8790
🌋 Hot Springs
0.8788
🌋 Hot Springs
0.8785
🌋 Hot Springs
0.8785
🌋 Hot Springs
0.8784
🌋 Hot Springs
0.8783
🌋 Hot Springs
0.8783
🌋 Hot Springs
0.8782
🌋 Hot Springs
0.8781
🌋 Hot Springs
0.8781
🌋 Hot Springs
0.8778
🌋 Hot Springs
0.8776
🌋 Hot Springs
0.8775
🌋 Hot Springs
0.8773
🌋 Hot Springs
0.8770
🌋 Hot Springs
0.8770
🌋 Hot Springs
0.8770
📚 Understanding the metrics