Structural Biology – News and Features

Cells contain molecular machinery that targets and disposes of unwanted proteins. Scientists would like to hijack this process to control proteins involved in cancer and other diseases, using a type of molecule called a molecular glue degrader.

A new MIT study proposes a theoretical model that helps explain how cellular memory is passed from generation to generation when cells divide.

A diverse array of biological medicines are now used to prevent and treat a wide range of illnesses. This article will discuss the development of cell lines in biopharma and will touch on key considerations, such as future manufacturability.

Removing a gene that manages stress within insulin-producing beta cells draws helpful attention from the immune system, protecting mice predisposed to Type 1 diabetes from developing the disease.

Researchers at Lund University, together with colleagues at the NIST Synchrotron Facility in the USA, have mapped on an atomic level what happens in a virus particle when the temperature is raised.

Spider silk is a remarkable material, offering high tensile strength and natural elasticity. In this article, learn how a group of scientists are currently exploring its untapped potential in medical and materials science.

Most cancers become deadly by keeping a low profile, causing no symptoms until they’re too advanced to treat. Researchers have developed a highly sensitive blood test that can detect a key protein produced by cancer cells.

In the late 1970s, the relationship between the c-Src gene and cancer was discovered. Since then, c-Src has been found to be overactivated in half of colon, liver, lung, breast, prostate and pancreatic tumors, but its function is not yet understood.

A pioneering study unveiled that the 3D organization of DNA can influence the progression of the aggressive brain tumour known as glioblastoma. Having identified the factors that glioblastoma uses to respond to neurons by growing and spreading.

Researchers have created and improved AI systems to help synthesize a gastric acid inhibitor with a better binding affinity than existing drugs.