3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs
Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.
Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.
Two models more accurately replicate the physiology of the liver, offering a new way to test treatments for fat buildup.
By analyzing how Myobacterium tuberculosis interacts with the immune system, the associate professor hopes to find new vaccine targets to help eliminate the disease.
Time and again, an unassuming roundworm has illuminated aspects of biology with major consequences for human health.
New research suggests liver cells exposed to too much fat revert to an immature state that is more susceptible to cancer-causing mutations.
A study profiling antigens presented on immune and tumor cells in co-culture points to new strategies for attacking a treatment-resistant and deadly brain cancer.
Temporarily anesthetizing the retina briefly reverts the activity of the visual system to that observed in early development and enables growth of responses to the amblyopic (“lazy”) eye.
MIT researchers discover how an immune system molecule triggers neurons to shut down social behavior in mice modeling infection.
New findings may help researchers identify genetic mutations that contribute to rare diseases, by studying when and how single genes produce multiple versions of proteins.
Using these antigens, researchers plan to develop vaccine candidates that they hope would stimulate a strong immune response against the world’s deadliest pathogen.
The KATMAP model, developed by researchers in the Department of Biology, can predict alternative cell splicing, which allows cells to create endless diversity from the same sets of genetic blueprints.
Professors Facundo Batista and Dina Katabi, along with three additional MIT alumni, are honored for their outstanding professional achievement and commitment to service.
Co-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.
The Rare Brain Disorders Nexus aims to accelerate the development of novel therapies for a spectrum of uncommon brain diseases.
MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.