🔬 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
0.9828
🌋 Hot Springs
0.9828
🌋 Hot Springs
0.9827
🌋 Hot Springs
0.9827
🧊 Permafrost
0.9827
🌋 Hot Springs
0.9827
🌋 Hot Springs
0.9827
🧊 Permafrost
0.9825
🌋 Hot Springs
0.9824
🌋 Hot Springs
0.9824
🧊 Permafrost
0.9823
🌋 Hot Springs
0.9822
🌋 Hot Springs
0.9822
🌋 Hot Springs
0.9821
🌋 Hot Springs
0.9821
🌋 Hot Springs
0.9821
🧊 Permafrost
0.9820
🌋 Hot Springs
0.9820
🧊 Permafrost
0.9820
🧊 Permafrost
0.9820
🌋 Hot Springs
0.9820
🌋 Hot Springs
0.9819
🧊 Permafrost
0.9819
🌋 Hot Springs
0.9819
📚 Understanding the metrics