Illustration showing how integrating protein three-dimensional structures with artificial intelligence algorithms can predict synergistic or antagonistic effects of drug combinations, guiding safer ...
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 ...
In an effort to reveal the inner workings of a protein that serves as a cell's damage detection system, scientists at Johns Hopkins and the Ludwig-Maximilians-University Munich (LMU) have published ...
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 ...
DAVIS, Calif.--(BUSINESS WIRE)--OpenFold, a non-profit artificial intelligence (AI) research consortium, today announced the release of two new tools: 1) SoloSeq, which integrates a new protein Large ...
Researchers from the Göttingen Cluster of Excellence Multiscale Bioimaging (MBExC) have uncovered the 3D structure of the membrane proteins myoferlin and dysferlin using high-resolution cryo-electron ...
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