🔬 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
0.9800
🧊 Permafrost
0.9799
🧊 Permafrost
0.9795
🧊 Permafrost
0.9794
🧊 Permafrost
0.9793
🧊 Permafrost
0.9790
🧊 Permafrost
0.9790
🧊 Permafrost
0.9790
🧊 Permafrost
0.9789
🧊 Permafrost
0.9789
🧊 Permafrost
0.9788
🧊 Permafrost
0.9787
🧊 Permafrost
0.9787
🧊 Permafrost
0.9784
🧊 Permafrost
0.9781
🧊 Permafrost
0.9780
🧊 Permafrost
0.9780
🧊 Permafrost
0.9778
🧊 Permafrost
0.9778
🧊 Permafrost
0.9777
🧊 Permafrost
0.9770
🧊 Permafrost
0.9770
🧊 Permafrost
0.9768
🧊 Permafrost
0.9767
📚 Understanding the metrics