Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the formation of biomolecular condensates, "droplets" of concentrated proteins, DNA ...

Intrinsically disordered proteins (IDPs) make up about 30 percent of our proteome. They are important to many fundamental aspects of biology and disrupted in disease. Since they lack a stable shape, ...

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins with specific functions, from antibodies to blood clotting agents, by using ...

Intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. Although ...

A protein engineered by University of Washington scientists wraps around its target. (Institute for Protein Design Image) The wiggly targets known to scientists as “intrinsically disordered proteins” ...

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins with specific functions, from antibodies to blood clotting agents, by using ...

Deep learning tools for protein design can also be used to create molecules that bind to them. Certain peptides, such as intrinsically disordered proteins (IDPs), are challenging to target due to ...

For decades, structural biologists shoved what looked like shoddy data in the back of their closets, embarrassed. While attempting to gather the structures of proteins, they would sometimes find that ...

Examining an intrinsically disordered protein: "Re" is the end-to-end distance or height, "Rg" is the radius of gyration or overall size. Proteins are essential for our human body functions. There are ...

The SARS-CoV-2 nucleocapsid protein (N), essential for viral RNA packaging, comprises a structured RNA-binding domain, NTD(44–180), flanked by intrinsically disordered regions, IDR1 (1–43) and IDR2 ...

Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered proteins with custom properties, addressing nearly 30% of all human proteins ...