Matthew Shoulders named head of the Department of Chemistry
A leading researcher in protein folding biochemistry and next-generation protein engineering techniques will advance chemistry research and education.
A leading researcher in protein folding biochemistry and next-generation protein engineering techniques will advance chemistry research and education.
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
Researchers developed an approach to study where proteins get made, and characterized proteins produced near mitochondria, gaining potential insights into mitochondrial function and disease.
A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.
Protein sensor developed by alumna-founded Advanced Silicon Group can be used for research and quality control in biomanufacturing.
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.
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.
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
Tissue processing advance can label proteins at the level of individual cells across large samples just as fast and uniformly as in dissociated single cells.
Chronic diseases like diabetes are prevalent, costly, and challenging to treat. A common denominator driving them may be a promising new therapeutic target.
Through academia and industry, Gevorg Grigoryan PhD ’07 says there is no right path — just the path that works for you.