Michael Martynowycz, PhD, assistant professor of structural biology at the Jacobs School of Medicine and Biomedical Sciences, recently described a new technique for solving protein structures in a rec ...

Leveraging AI and quantum calculations, scientists developed a new tool that yielded higher-quality structural information and solved notoriously elusive proteins.

Intrinsically disordered proteins lack a fixed structure, which is why they have been considered "undruggable" targets for ...

Researchers combined AI simulations with NMR data to capture fleeting structures of intrinsically disordered proteins, offering new insight into protein misfolding linked to neurodegenerative diseases ...

The AI tool AlphaFold has been improved so that it can now predict the shape of very large and complex protein structures. Researchers have also succeeded in integrating experimental data into the ...

A new artificial intelligence model can predict how different proteins may bind to DNA. A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how ...