🔬 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
0.8942
🌋 Hot Springs
0.8940
🌋 Hot Springs
0.8940
🌋 Hot Springs
0.8938
🌋 Hot Springs
0.8938
🌋 Hot Springs
0.8936
🌋 Hot Springs
0.8936
🌋 Hot Springs
0.8935
🌋 Hot Springs
0.8935
🌋 Hot Springs
0.8934
🌋 Hot Springs
0.8933
🌋 Hot Springs
0.8932
🌋 Hot Springs
0.8932
🌋 Hot Springs
0.8932
🌋 Hot Springs
0.8931
🌋 Hot Springs
0.8931
🌋 Hot Springs
0.8931
🌋 Hot Springs
0.8930
🌋 Hot Springs
0.8930
🌋 Hot Springs
0.8930
🌋 Hot Springs
0.8929
🌋 Hot Springs
0.8928
🌋 Hot Springs
0.8926
🌋 Hot Springs
0.8925
📚 Understanding the metrics