🔬 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
0.9559
🌋 Hot Springs
0.9558
🌋 Hot Springs
0.9558
🌋 Hot Springs
0.9557
🌋 Hot Springs
0.9557
🌋 Hot Springs
0.9556
🌋 Hot Springs
0.9556
🌋 Hot Springs
0.9555
🌋 Hot Springs
0.9555
🌋 Hot Springs
0.9553
🌋 Hot Springs
0.9552
🌋 Hot Springs
0.9550
🌋 Hot Springs
0.9549
🌋 Hot Springs
0.9549
🌋 Hot Springs
0.9548
🌋 Hot Springs
0.9548
🌋 Hot Springs
0.9548
🌋 Hot Springs
0.9547
🌋 Hot Springs
0.9546
🌋 Hot Springs
0.9546
🌋 Hot Springs
0.9546
🌋 Hot Springs
0.9546
🌋 Hot Springs
0.9543
🌋 Hot Springs
0.9543
📚 Understanding the metrics