Tag: Antibiotic resistance

Discover a groundbreaking machine learning model that identifies potential antibiotics. Researchers utilize ruthenium-based compounds, offering promising solutions.

Renowned surgeon warns of global threat deadlier than Coronavirus: Untreatable superbugs. Learn about Lord Ara Darzi's concerns and the establishment of The Fleming Centre to combat this silent pandemic.

NeCLAS, a new machine learning tool from the University of Michigan, predicts protein and nanoparticle interactions, aiding in designing drugs against antibiotic-resistant infections. It uses protein models to predict interactions between two proteins or nanoparticles, optimizing designs. This tool shows great potential in predicting interactions, the key to fighting virus and bacterial infections.