🔬 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
0.9312
🧊 Permafrost
0.9310
🧊 Permafrost
0.9309
🧊 Permafrost
0.9305
🧊 Permafrost
0.9303
🧊 Permafrost
0.9296
🧊 Permafrost
0.9296
🧊 Permafrost
0.9289
🧊 Permafrost
0.9289
🧊 Permafrost
0.9289
🧊 Permafrost
0.9288
🧊 Permafrost
0.9287
🧊 Permafrost
0.9286
🧊 Permafrost
0.9286
🧊 Permafrost
0.9286
🧊 Permafrost
0.9284
🧊 Permafrost
0.9283
🧊 Permafrost
0.9282
🧊 Permafrost
0.9281
🧊 Permafrost
0.9280
🧊 Permafrost
0.9273
🧊 Permafrost
0.9273
🧊 Permafrost
0.9270
🧊 Permafrost
0.9266
📚 Understanding the metrics