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, ...
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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 ...
The 2024 Nobel prize in chemistry has been awarded to David Baker, Demis Hassabis and John Jumper for their work on understanding the structure of proteins, which play vital roles in all living ...
Morning Overview on MSN
AI study of protein nanoribbons points to new design rules
Researchers at Pacific Northwest National Laboratory used artificial intelligence to analyze protein nanoribbons, pointing to potential design rules tied to peptide length and secondary structure. The ...
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 ...
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 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 ...
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