🔬 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
0.9696
🧊 Permafrost
0.9693
🧊 Permafrost
0.9690
🧊 Permafrost
0.9689
🧊 Permafrost
0.9684
🧊 Permafrost
0.9684
🧊 Permafrost
0.9680
🧊 Permafrost
0.9680
🧊 Permafrost
0.9678
🧊 Permafrost
0.9677
🧊 Permafrost
0.9677
🧊 Permafrost
0.9677
🧊 Permafrost
0.9677
🧊 Permafrost
0.9671
🧊 Permafrost
0.9670
🧊 Permafrost
0.9670
🧊 Permafrost
0.9667
🧊 Permafrost
0.9662
🧊 Permafrost
0.9662
🧊 Permafrost
0.9662
🧊 Permafrost
0.9660
🧊 Permafrost
0.9658
🧊 Permafrost
0.9655
🧊 Permafrost
0.9654
📚 Understanding the metrics