Tag: Drug design

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.

. Stanford University biochemist Peter Kim, using generative AI and neural networks, is exploring ways to make antibodies more viable in combating SARS-CoV-2, ebola and influenza. Meta AI, a subsidiary of tech giant Meta, is helping Kim develop a protein language model to identify limited antibody mutations and improve the efficacy of antibodies. As AI-generated designs can access data not available to experts, this research promises to revolutionize biotechnology.