🔬 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
0.8945
🧊 Permafrost
0.8942
🧊 Permafrost
0.8938
🧊 Permafrost
0.8938
🧊 Permafrost
0.8937
🧊 Permafrost
0.8928
🧊 Permafrost
0.8927
🧊 Permafrost
0.8925
🧊 Permafrost
0.8924
🧊 Permafrost
0.8920
🧊 Permafrost
0.8919
🧊 Permafrost
0.8919
🧊 Permafrost
0.8917
🧊 Permafrost
0.8917
🧊 Permafrost
0.8912
🧊 Permafrost
0.8911
🧊 Permafrost
0.8910
🧊 Permafrost
0.8905
🧊 Permafrost
0.8902
🧊 Permafrost
0.8899
🧊 Permafrost
0.8885
🧊 Permafrost
0.8879
🧊 Permafrost
0.8878
🧊 Permafrost
0.8872
📚 Understanding the metrics