Deep Learning Resurrects Ancient Antibiotics: Mining Extinct Proteomes for Modern Medicine In a groundbreaking fusion of paleobiology and artificial intelligence, researchers from the University of Pennsylvania have pioneered a revolutionary approach to combat the escalating global antibiot... antibiotic discovery antimicrobial resistance artificial intelligence computational biology deep learning drug discovery extinct organisms machine learning molecular de-extinction paleogenomics
GraphBAN Marries Graphs and LLMs to Predict New Compound-Protein Interactions Understanding how small molecules interact with proteins is a cornerstone of modern drug discovery. These compound–protein interactions (CPIs) determine whether a candidate molecule can modulate a bio... BAN CDAN compound-protein interactions domain adaptation drug discovery graph neural networks knowledge distillation
SPR Finds Small-Molecule Binders For CHI3L1, A Hard Cancer Target Cancer cells often rely on proteins that don't behave like typical enzymes to survive and spread. One such protein is CHI3L1 (also called YKL-40) , which cancer cells secrete to communicate with ... brain cancer cancer CHI3L1 drug discovery glioblastoma small molecules SPR STAT3 surface plasmon resonance YKL-40
Hybrid Quantum-Classical Algorithms: Transforming Molecular Simulations for Drug Discovery and Materials Science Predicting complex chemical reactions has long challenged scientists, especially when speed and accuracy are critical. Recent advances are reshaping this landscape. Researchers have unveiled a hybrid ... drug discovery error mitigation GPU acceleration hybrid algorithms molecular simulation quantum chemistry quantum computing transition metal complexes