Another reason for choosing a particular modality is that it is a team’s specialty. Strategic choices can be less about determining which modality best fits a potential target than about choosing a ...

The model drew upon a huge knowledge base it absorbed from the scientific literature on proteins, according to co-first author Clara Hu, a biomedical sciences doctoral candidate in Ideker's lab.

This breakthrough provides the research field with a powerful way to model and study the mechanisms driving neurodegeneration. TAR DNA-binding protein 43, better known as TDP-43, is a protein ...

Every AI model trained for biology only can see what’s illuminated by the data points it is trained on. AlphaFold succeeded in predicting protein structures because the 200,000 or so known ...

Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States Artie McFerrin Department of Chemical Engineering, Texas A&M University, College ...

S. von Bülow, G. Tesei, F. K. Zaidi, T. Mittag, K. Lindorff-Larsen, Prediction of phase-separation propensities of disordered proteins from sequence. Zenodo. https ...

Small-molecule inhibitors of copper chaperones: Targeting proteins like ATOX1 may help regulate copper homeostasis without disrupting essential biological functions. Nanomedicine-based therapies ...

Aging is inevitable for most cell types in the human body, but hematopoietic stem cells (HSCs) seem to defy the process. They retain their self-renewing ability almost throughout an organism’s ...

Streicher and his team also tested the drug combination in a chronic pain model in mice. Three weeks after injection of an HIV protein, which induces peripheral neuropathy, the team treated the mice ...