Insects are packed with high-quality protein, as well as good fats, vitamins and minerals like iron and zinc.

Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

Since an MIT team introduced expansion microscopy in 2015, the technique has powered the science behind kidney disease, plant seeds, the microbiome, Alzheimer’s, viruses, and more.

Master switches of cell communication, G protein-coupled receptor kinases are the target of many drugs across a range of diseases.

Enhancing activity of a specific component of neurons’ “NMDA” receptors normalized protein synthesis, neural activity, and seizure susceptibility in the hippocampus of fragile X lab mice.

New methods light up lipid membranes and let researchers see sets of proteins inside cells with high resolution.

The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.

FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.

The gene that codes for p53 is the most frequently mutated in cancer. Researchers are targeting different parts of its complex pathway to restore its ability to stop cancer.

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.