🔬 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
0.9881
🧊 Permafrost
0.9879
🧊 Permafrost
0.9879
🧊 Permafrost
0.9879
🧊 Permafrost
0.9876
🧊 Permafrost
0.9875
🧊 Permafrost
0.9875
🧊 Permafrost
0.9875
🧊 Permafrost
0.9874
🧊 Permafrost
0.9873
🧊 Permafrost
0.9867
🧊 Permafrost
0.9862
🧊 Permafrost
0.9861
🧊 Permafrost
0.9861
🧊 Permafrost
0.9861
🧊 Permafrost
0.9860
🧊 Permafrost
0.9860
🧊 Permafrost
0.9857
🧊 Permafrost
0.9857
🧊 Permafrost
0.9851
🧊 Permafrost
0.9851
🧊 Permafrost
0.9851
🧊 Permafrost
0.9846
🧊 Permafrost
0.9845
📚 Understanding the metrics