A DGIST research team led by Prof. Yoo Wookyung (Department of Brain Sciences) and Prof. Kim Jin Hae (Department of New ...

Intrinsically disordered proteins lack a fixed structure, which is why they have been considered "undruggable" targets for ...

Scientists demonstrated that glial fibrillary acidic protein (GFAP) promotes mitochondrial fission rather than blocking fusion. The genetic disorder Alexander disease is caused by mutations in the ...

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

Researchers from Cleveland Clinic and IBM recently published findings in the Journal of Chemical Theory and Computation that could lay the groundwork for applying quantum computing methods to protein ...

A test measuring proteins in spinal fluid may help support the diagnosis of MS, especially in patients whose disease is ...

The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...

Efforts to unlock the mysteries of proteins, building blocks of life, have earned three scientists the 2024 Nobel Prize in chemistry. The prize goes to David Baker “for computational protein design,” ...

Can you have too much protein, do some people need more than others, and what are the best protein sources? A bariatric ...