🔬 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
0.9266
🧊 Permafrost
0.9254
🧊 Permafrost
0.9253
🧊 Permafrost
0.9248
🧊 Permafrost
0.9246
🧊 Permafrost
0.9246
🧊 Permafrost
0.9244
🧊 Permafrost
0.9243
🧊 Permafrost
0.9243
🧊 Permafrost
0.9241
🧊 Permafrost
0.9239
🧊 Permafrost
0.9239
🧊 Permafrost
0.9231
🧊 Permafrost
0.9231
🧊 Permafrost
0.9231
🧊 Permafrost
0.9231
🧊 Permafrost
0.9229
🧊 Permafrost
0.9227
🧊 Permafrost
0.9226
🧊 Permafrost
0.9218
🧊 Permafrost
0.9216
🧊 Permafrost
0.9212
🧊 Permafrost
0.9209
🧊 Permafrost
0.9209
📚 Understanding the metrics