🔬 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
0.9592
🧊 Permafrost
0.9592
🌋 Hot Springs
0.9591
🧊 Permafrost
0.9591
🧊 Permafrost
0.9590
🌋 Hot Springs
0.9590
🌋 Hot Springs
0.9588
🌋 Hot Springs
0.9588
🌋 Hot Springs
0.9588
🧊 Permafrost
0.9588
🌋 Hot Springs
0.9588
🌋 Hot Springs
0.9585
🌋 Hot Springs
0.9584
🌋 Hot Springs
0.9582
🌋 Hot Springs
0.9582
🌋 Hot Springs
0.9580
🌋 Hot Springs
0.9579
🌋 Hot Springs
0.9579
🧊 Permafrost
0.9579
🌋 Hot Springs
0.9578
🧊 Permafrost
0.9577
🧊 Permafrost
0.9577
🌋 Hot Springs
0.9576
🌋 Hot Springs
0.9576
📚 Understanding the metrics