🔬 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
0.8872
🧊 Permafrost
0.8872
🧊 Permafrost
0.8867
🧊 Permafrost
0.8867
🧊 Permafrost
0.8861
🧊 Permafrost
0.8859
🧊 Permafrost
0.8859
🧊 Permafrost
0.8855
🧊 Permafrost
0.8853
🧊 Permafrost
0.8847
🧊 Permafrost
0.8846
🧊 Permafrost
0.8844
🧊 Permafrost
0.8839
🧊 Permafrost
0.8839
🧊 Permafrost
0.8839
🧊 Permafrost
0.8839
🧊 Permafrost
0.8839
🧊 Permafrost
0.8832
🧊 Permafrost
0.8823
🧊 Permafrost
0.8822
🧊 Permafrost
0.8820
🧊 Permafrost
0.8819
🧊 Permafrost
0.8816
🧊 Permafrost
0.8812
📚 Understanding the metrics