🔬 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
0.9344
🌋 Hot Springs
0.9343
🌋 Hot Springs
0.9343
🌋 Hot Springs
0.9343
🌋 Hot Springs
0.9343
🌋 Hot Springs
0.9343
🌋 Hot Springs
0.9341
🌋 Hot Springs
0.9337
🌋 Hot Springs
0.9337
🌋 Hot Springs
0.9337
🌋 Hot Springs
0.9336
🌋 Hot Springs
0.9336
🌋 Hot Springs
0.9335
🌋 Hot Springs
0.9334
🌋 Hot Springs
0.9334
🌋 Hot Springs
0.9333
🌋 Hot Springs
0.9332
🌋 Hot Springs
0.9331
🌋 Hot Springs
0.9330
🌋 Hot Springs
0.9327
🌋 Hot Springs
0.9327
🌋 Hot Springs
0.9326
🌋 Hot Springs
0.9325
🌋 Hot Springs
0.9324
📚 Understanding the metrics