🔬 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
0.9696
🌋 Hot Springs
0.9695
🌋 Hot Springs
0.9694
🌋 Hot Springs
0.9694
🌋 Hot Springs
0.9693
🌋 Hot Springs
0.9693
🌋 Hot Springs
0.9693
🌋 Hot Springs
0.9692
🌋 Hot Springs
0.9691
🌋 Hot Springs
0.9690
🌋 Hot Springs
0.9690
🌋 Hot Springs
0.9689
🌋 Hot Springs
0.9688
🌋 Hot Springs
0.9685
🌋 Hot Springs
0.9684
🌋 Hot Springs
0.9684
🌋 Hot Springs
0.9684
🌋 Hot Springs
0.9682
🌋 Hot Springs
0.9681
🌋 Hot Springs
0.9680
🌋 Hot Springs
0.9680
🌋 Hot Springs
0.9680
🌋 Hot Springs
0.9679
🌋 Hot Springs
0.9678
📚 Understanding the metrics