π¬ AMP Candidates
2,065 computationally predicted antimicrobial peptide candidates
𧬠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.
β οΈ All candidates are computationally predicted β no experimental validation has been performed.
π Hot Springs
0.9392
π Hot Springs
0.9391
π Hot Springs
0.9391
π Hot Springs
0.9391
π Hot Springs
0.9391
π Hot Springs
0.9391
π Hot Springs
0.9389
π Hot Springs
0.9389
π Hot Springs
0.9388
π Hot Springs
0.9388
π Hot Springs
0.9387
π Hot Springs
0.9387
π Hot Springs
0.9386
π Hot Springs
0.9386
π Hot Springs
0.9385
π Hot Springs
0.9385
π Hot Springs
0.9385
π Hot Springs
0.9384
π Hot Springs
0.9384
π Hot Springs
0.9384
π Hot Springs
0.9380
π Hot Springs
0.9379
π Hot Springs
0.9379
π Hot Springs
0.9378
π Understanding the metrics