Many proteins have a complex architecture that enables biological functions. Molecules can bind to specific sites on a protein and alter its function. A team at HZB has now investigated the Nsp1 ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

A DGIST research team led by Prof. Yoo Wookyung (Department of Brain Sciences) and Prof. Kim Jin Hae (Department of New Biology) developed an innovative analytical technology in collaboration with a ...

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery. Brief ...

Researchers have identified a new type of blood-based biomarker test for Alzheimer's disease that measures structural changes in proteins, providing more information on the underlying biology of the ...

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

Dendritic Cell Production From Allogeneic Donor CD34+ Stem Cells and Mononuclear Cells for Patients With AML: Cancer Vaccine This is an ASCO Meeting Abstract from the 2018 World Cancer Congress ...

The tiny protein known as transthyretin can cause big problems in the body when it misfolds after secretion. While healthy transthyretin moves hormones through blood and spinal fluid, misfolded ...

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 ...

In genetics, one harmful variant can be enough to cause disease—but two can make it far more severe. One notable example is KJ, an infant diagnosed with a rare urea cycle disorder with a grim ...