🔬 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
0.9944
🌋 Hot Springs
0.9944
🌋 Hot Springs
0.9943
🌋 Hot Springs
0.9942
🌋 Hot Springs
0.9942
🌋 Hot Springs
0.9942
🌋 Hot Springs
0.9942
🌋 Hot Springs
0.9941
🌋 Hot Springs
0.9941
🌋 Hot Springs
0.9941
🌋 Hot Springs
0.9940
🌋 Hot Springs
0.9939
🌋 Hot Springs
0.9939
🌋 Hot Springs
0.9938
🌋 Hot Springs
0.9937
🌋 Hot Springs
0.9937
🌋 Hot Springs
0.9937
🌋 Hot Springs
0.9937
🌋 Hot Springs
0.9935
🌋 Hot Springs
0.9935
🌋 Hot Springs
0.9935
🌋 Hot Springs
0.9934
🌋 Hot Springs
0.9933
🌋 Hot Springs
0.9932
📚 Understanding the metrics