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Proteins are constantly moving, but our structures of them are static. Clare Sansom talks to the researchers using ...
Researchers at Washington University School of Medicine in St. Louis have revealed the structure of a key protein involved in ...
Advances in machine learning techniques are enabling improved protein structure prediction solutions. These solutions include AlphaFold, ESMFold, OmegaFold, and others. Configuring each solution with ...
The influence of the print bed temperature Tb on structure formation, polymorphic state, and degree of crystallinity χ c of the 3D-printed parts is investigated by height and depth-dependent WAXD ...
Food scientists are paving the way for 3D-printed food and pharmaceuticals based on drought-tolerant grain sorghum protein that won't turn into a blob.
This work proposes a neural network architecture, called 3D FC-DenseNet, for assigning amino acid labels to X-ray crystallographic electron density maps without relying on the amino acid sequence of ...
16d
ZME Science on MSNThis Ancient Grain Could Power the Future of 3D-Printed Food
Imagine printing your next meal like a document: layer by layer, perfectly shaped, and with the benefit of custom nutrition built in. It sounds fantastic, but the problem is that most food just can’t ...
Food scientists are paving the way for 3D-printed food and pharmaceuticals based on drought-tolerant grain sorghum protein that won't turn into a blob.
Sorghum proteins offer resilient 3D printable ‘bioink’ base Qualities of sorghum protein aid in making stable 3D food structures Peer-Reviewed Publication University of Arkansas System ...
DCGCN decomposes the 3D point cloud data of a molecule into three components: atomic sequence, atomic connectivity, and a distance map. From its connectivity and distance information, DCGCN captures ...
Sorghum proteins have been used in meat substitutes and 3D food printing to make more realistic recreations of beef steaks, for example. The proteins from grain sorghum are also used in protein bars ...
Unlike structure-based models, which are limited to a small set of resolved protein-ligand complexes, ProtoBind-Diff leverages a larger pool of chemical and biological data, which helps the model ...
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