🔬 AMP Candidates
646 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.
🧊 Permafrost
0.9932
🧊 Permafrost
0.9931
🧊 Permafrost
0.9931
🧊 Permafrost
0.9929
🧊 Permafrost
0.9928
🧊 Permafrost
0.9923
🧊 Permafrost
0.9920
🧊 Permafrost
0.9916
🧊 Permafrost
0.9916
🧊 Permafrost
0.9916
🧊 Permafrost
0.9913
🧊 Permafrost
0.9905
🧊 Permafrost
0.9905
🧊 Permafrost
0.9905
🧊 Permafrost
0.9903
🧊 Permafrost
0.9900
🧊 Permafrost
0.9899
🧊 Permafrost
0.9898
🧊 Permafrost
0.9891
🧊 Permafrost
0.9888
🧊 Permafrost
0.9888
🧊 Permafrost
0.9885
🧊 Permafrost
0.9882
🧊 Permafrost
0.9881
📚 Understanding the metrics