🔬 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
0.9971
🧊 Permafrost
0.9969
🧊 Permafrost
0.9968
🧊 Permafrost
0.9958
🧊 Permafrost
0.9958
🧊 Permafrost
0.9955
🧊 Permafrost
0.9954
🧊 Permafrost
0.9954
🧊 Permafrost
0.9954
🧊 Permafrost
0.9952
🧊 Permafrost
0.9950
🧊 Permafrost
0.9950
🧊 Permafrost
0.9948
🧊 Permafrost
0.9947
🧊 Permafrost
0.9944
🧊 Permafrost
0.9943
🧊 Permafrost
0.9942
🧊 Permafrost
0.9942
🧊 Permafrost
0.9940
🧊 Permafrost
0.9940
🧊 Permafrost
0.9938
🧊 Permafrost
0.9937
🧊 Permafrost
0.9936
🧊 Permafrost
0.9934
📚 Understanding the metrics