🔬 AMP Candidates
2,065 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
0.9323
🌋 Hot Springs
0.9322
🌋 Hot Springs
0.9322
🌋 Hot Springs
0.9322
🌋 Hot Springs
0.9321
🌋 Hot Springs
0.9320
🌋 Hot Springs
0.9318
🌋 Hot Springs
0.9318
🌋 Hot Springs
0.9318
🌋 Hot Springs
0.9317
🌋 Hot Springs
0.9316
🌋 Hot Springs
0.9316
🌋 Hot Springs
0.9316
🌋 Hot Springs
0.9314
🌋 Hot Springs
0.9313
🌋 Hot Springs
0.9313
🌋 Hot Springs
0.9313
🌋 Hot Springs
0.9312
🌋 Hot Springs
0.9311
🌋 Hot Springs
0.9310
🌋 Hot Springs
0.9306
🌋 Hot Springs
0.9305
🌋 Hot Springs
0.9305
🌋 Hot Springs
0.9305
📚 Understanding the metrics