Protein function prediction and annotation represent critical challenges in the post‐genomic era. As high‐throughput sequencing continues to generate vast amounts of protein data, computational ...

Chung’s group captured the transition period directly by improving the time resolution of a method called single-molecule ...

In the evolutionary history of life, the ability of a cell to separate its inner world from the external environment was an ...

A new artificial intelligence (AI) tool that draws logical inferences about the function of unknown proteins promises to help scientists unravel the inner workings of the cell. A new artificial ...

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 ...

A research team led by Sahand Jamal Rahi at EPFL’s Laboratory of the Physics of Biological Systems has introduced a new ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

A protein long studied for its role in amyotrophic lateral sclerosis and frontotemporal dementia now appears to serve a ...

A balanced approach to nutrition that includes whole foods, adequate hydration and proper physical activity is far more important than relying heavily on protein powders ...

Researchers have created nanoparticles that can remove disease-driving proteins while also delivering a chemotherapeutic or ...