New MIT initiative seeks to transform rare brain disorders research
The Rare Brain Disorders Nexus aims to accelerate the development of novel therapies for a spectrum of uncommon brain diseases.
AI maps how a new antibiotic targets gut bacteria
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.
How federal research support has helped create life-changing medicines
A new study finds over half the drugs approved this century cite government-funded research in their patents.
New RNA tool to advance cancer and infectious disease research and treatment
Advance from SMART will help to better identify disease markers and develop targeted therapies and personalized treatment for diseases such as cancer and antibiotic-resistant infection.
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.
How AI could speed the development of RNA vaccines and other RNA therapies
MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
New machine-learning application to help researchers predict chemical properties
ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.
Scientists discover compounds that help cells fight a wide range of viruses
The molecules trigger a built-in cellular stress response and show promise as broad-spectrum antivirals against Zika, herpes, RSV, and more.
Could LLMs help design our next medicines and materials?
A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.
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.
Toward video generative models of the molecular world
Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.
A new computational model can predict antibody structures more accurately
Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.
When MIT’s interdisciplinary NEET program is a perfect fit
Junior Katie Spivakovsky describes her path through New Engineering Education Transformation to biomedical research and beyond.
MIT chemists synthesize plant-derived molecules that hold potential as pharmaceuticals
Large multi-ring-containing molecules known as oligocyclotryptamines have never been produced in the lab until now.
When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria
Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.