GlycoMIT Symposium celebrates advancements in glycobiology
Glyco enthusiasts from MIT and beyond recently gathered in Bartos Theatre to enjoy presentations of the latest advancements in glycobiology research.
Glyco enthusiasts from MIT and beyond recently gathered in Bartos Theatre to enjoy presentations of the latest advancements in glycobiology research.
Desirée Plata is on a lifelong mission to make sustainability a bigger factor in design decisions.
Chemists discover the structures of open and closed states of the channel, which could help the development of antiviral drugs to reduce inflammation.
A look at how the MIT professor spent his day after learning he had won the Nobel Prize in Chemistry.
For his work on techniques to generate quantum dots of uniform size and color, Bawendi is honored along with Louis Brus and Alexei Ekimov.
Sixteen professors join the departments of Biology; Chemistry; Earth, Atmospheric and Planetary Sciences; Mathematics; and Physics.
Brad Pentelute and his lab compel the anthrax delivery system to deliver antibody and peptide variants into cells to treat cancer.
The findings, based on a single electrochemical process, could help cut emissions from the hardest-to-decarbonize industries, such as steel and cement.
MIT engineers developed a new way to create these arrays, by scaffolding quantum rods onto patterned DNA.
Faculty members were recently granted tenure in the departments of Biology, Brain and Cognitive Sciences, Chemistry, EAPS, and Physics.
Biologist Nicole De Nisco ’07, PhD ’13 draws on her love of problem-solving and interdisciplinary skills honed as a student at MIT.
A new approach opens the door to a greater understanding of protein-microbe interactions.
A new study shows that truncated versions of the Tau protein are more likely to form the sticky filaments seen in the brains of people with Alzheimer’s disease.
A new technology called RIBOmap can give researchers valuable insight into how protein production in animal and human tissue is altered in disease.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.