A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Scientists at UCSF combined advanced brain-network modeling, genetics, and imaging to reveal how tau protein travels through ...

Using brain gene expression maps from the Allen Human Brain Atlas, the researchers tested the degree to which Alzheimer’s risk genes explain the patterns of both actual and residual tau. This allowed ...

Indiana-based Protein Transport, which transports chicken products, is petitioning FMCSA to allow it to utilize the ...

Quantitative measurements of intra-Golgi transport kinetics of diverse secretory cargos challenge the classic cisternal progression model and support the stable compartment model of the Golgi.

Scientists have identified a new type of protein in bacteria that could change our understanding of how these organisms ...

Recent developments in protein-protein interactions (PPI) give hope for patients with advanced or untreatable diseases.

Advancements in artificial intelligence (AI) are dramatically transforming the field of protein science, offering powerful ...

Protein tertiary structure prediction is an important open challenge in bioinformatics and requires effective methods to accurately evaluate the quality of protein 3-D models generated computationally ...

This Research Topic will showcase cutting-edge research exploring how these transporters are built, how they recognize and ...

A recent study involving researchers from the University of Basel reveals that slowing down the intracellular transport of ...

Although the simulated adsorption of the proteins was found to be nonspecific, it had a dramatic effect on the rate of the protein transport. To determine the relative strength of the protein-silica ...