H5_fold-0_Chantal, H5_fold-0_Elsa, H6_fold-C_Rei, H6_fold-Z_Gogy, H6_fold-U_Nomur, and H7_fold-K_Mussoc are presented. For each de novo designed protein, the computational model is shown on the left, ...

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 ...

Complex protein interactions at synapses are essential for memory formation in our brains, but the mechanisms behind these processes remain poorly understood. Now, researchers have developed a ...

A team of US researchers has gained new insights into how large protein molecules consistently fold themselves into useful shapes. Using a new approach to fluorescence microscopy, Hoi Sung Chung and ...

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...