🔬 AMP Candidates
2,713 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.
🌋 Hot Springs
0.9284
🌋 Hot Springs
0.9283
🧊 Permafrost
0.9283
🌋 Hot Springs
0.9283
🌋 Hot Springs
0.9282
🧊 Permafrost
0.9282
🧊 Permafrost
0.9281
🧊 Permafrost
0.9280
🌋 Hot Springs
0.9279
🌋 Hot Springs
0.9279
🌋 Hot Springs
0.9279
🌋 Hot Springs
0.9279
🌋 Hot Springs
0.9279
🌋 Hot Springs
0.9278
🌋 Hot Springs
0.9277
🌋 Hot Springs
0.9276
🌋 Hot Springs
0.9276
🌋 Hot Springs
0.9276
🌋 Hot Springs
0.9275
🌋 Hot Springs
0.9275
🌋 Hot Springs
0.9274
🌋 Hot Springs
0.9274
🧊 Permafrost
0.9273
🌋 Hot Springs
0.9273
📚 Understanding the metrics