🔬 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
0.8930
🌋 Hot Springs
0.8930
🌋 Hot Springs
0.8930
🌋 Hot Springs
0.8929
🌋 Hot Springs
0.8928
🧊 Permafrost
0.8928
🧊 Permafrost
0.8927
🌋 Hot Springs
0.8926
🌋 Hot Springs
0.8925
🌋 Hot Springs
0.8925
🧊 Permafrost
0.8925
🧊 Permafrost
0.8924
🌋 Hot Springs
0.8924
🌋 Hot Springs
0.8923
🌋 Hot Springs
0.8921
🌋 Hot Springs
0.8921
🌋 Hot Springs
0.8921
🌋 Hot Springs
0.8921
🧊 Permafrost
0.8920
🌋 Hot Springs
0.8920
🧊 Permafrost
0.8919
🧊 Permafrost
0.8919
🌋 Hot Springs
0.8919
🌋 Hot Springs
0.8918
📚 Understanding the metrics