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.
3 Questions: On biology and medicine’s “data revolution”
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.
Locally produced proteins help mitochondria function
Researchers developed an approach to study where proteins get made, and characterized proteins produced near mitochondria, gaining potential insights into mitochondrial function and disease.
Researchers glimpse the inner workings of protein language models
A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.
Startup’s biosensor makes drug development and manufacturing cheaper
Protein sensor developed by alumna-founded Advanced Silicon Group can be used for research and quality control in biomanufacturing.
With AI, researchers predict the location of virtually any protein within a human cell
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
A brief history of expansion microscopy
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.
Study suggests new molecular strategy for treating fragile X syndrome
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.
Seeing more in expansion microscopy
New methods light up lipid membranes and let researchers see sets of proteins inside cells with high resolution.
An ancient RNA-guided system could simplify delivery of gene editing therapies
The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.
AI system predicts protein fragments that can bind to or inhibit a target
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
AI model deciphers the code in proteins that tells them where to go
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
MIT method enables ultrafast protein labeling of tens of millions of densely packed cells
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.
Cellular traffic congestion in chronic diseases suggests new therapeutic targets
Chronic diseases like diabetes are prevalent, costly, and challenging to treat. A common denominator driving them may be a promising new therapeutic target.
Creating the crossroads
Through academia and industry, Gevorg Grigoryan PhD ’07 says there is no right path — just the path that works for you.