🔬 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
0.9765
🧊 Permafrost
0.9764
🧊 Permafrost
0.9764
🧊 Permafrost
0.9764
🧊 Permafrost
0.9763
🧊 Permafrost
0.9762
🧊 Permafrost
0.9760
🧊 Permafrost
0.9760
🧊 Permafrost
0.9760
🧊 Permafrost
0.9755
🧊 Permafrost
0.9755
🧊 Permafrost
0.9754
🧊 Permafrost
0.9752
🧊 Permafrost
0.9752
🧊 Permafrost
0.9750
🧊 Permafrost
0.9749
🧊 Permafrost
0.9748
🧊 Permafrost
0.9742
🧊 Permafrost
0.9741
🧊 Permafrost
0.9740
🧊 Permafrost
0.9740
🧊 Permafrost
0.9739
🧊 Permafrost
0.9738
🧊 Permafrost
0.9738
📚 Understanding the metrics