🔬 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
0.9764
🌋 Hot Springs
0.9764
🌋 Hot Springs
0.9764
🌋 Hot Springs
0.9764
🌋 Hot Springs
0.9763
🌋 Hot Springs
0.9763
🌋 Hot Springs
0.9762
🌋 Hot Springs
0.9762
🌋 Hot Springs
0.9762
🌋 Hot Springs
0.9762
🌋 Hot Springs
0.9761
🌋 Hot Springs
0.9760
🌋 Hot Springs
0.9759
🌋 Hot Springs
0.9758
🌋 Hot Springs
0.9758
🌋 Hot Springs
0.9757
🌋 Hot Springs
0.9755
🌋 Hot Springs
0.9755
🌋 Hot Springs
0.9754
🌋 Hot Springs
0.9753
🌋 Hot Springs
0.9753
🌋 Hot Springs
0.9750
🌋 Hot Springs
0.9750
🌋 Hot Springs
0.9747
📚 Understanding the metrics