🔬 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
0.8805
🧊 Permafrost
0.8804
🧊 Permafrost
0.8803
🧊 Permafrost
0.8803
🧊 Permafrost
0.8798
🧊 Permafrost
0.8794
🧊 Permafrost
0.8794
🧊 Permafrost
0.8794
🧊 Permafrost
0.8789
🧊 Permafrost
0.8787
🧊 Permafrost
0.8787
🧊 Permafrost
0.8787
🧊 Permafrost
0.8787
🧊 Permafrost
0.8782
🧊 Permafrost
0.8781
🧊 Permafrost
0.8780
🧊 Permafrost
0.8780
🧊 Permafrost
0.8778
🧊 Permafrost
0.8778
🧊 Permafrost
0.8776
🧊 Permafrost
0.8773
🧊 Permafrost
0.8772
🧊 Permafrost
0.8764
🧊 Permafrost
0.8762
📚 Understanding the metrics