🔬 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
0.9780
🌋 Hot Springs
0.9780
🌋 Hot Springs
0.9779
🌋 Hot Springs
0.9779
🌋 Hot Springs
0.9777
🌋 Hot Springs
0.9776
🌋 Hot Springs
0.9776
🌋 Hot Springs
0.9776
🌋 Hot Springs
0.9775
🌋 Hot Springs
0.9773
🌋 Hot Springs
0.9771
🌋 Hot Springs
0.9770
🌋 Hot Springs
0.9770
🌋 Hot Springs
0.9769
🌋 Hot Springs
0.9769
🌋 Hot Springs
0.9768
🌋 Hot Springs
0.9768
🌋 Hot Springs
0.9767
🌋 Hot Springs
0.9766
🌋 Hot Springs
0.9766
🌋 Hot Springs
0.9766
🌋 Hot Springs
0.9765
🌋 Hot Springs
0.9765
🌋 Hot Springs
0.9764
📚 Understanding the metrics