Taking some of the guesswork out of drug discovery
A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.
A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.
A new RNA-based control switch could be used to trigger production of therapeutic proteins to treat cancer or other diseases.
“A Shot in the Arm,” a new book from Professor Yossi Sheffi, reveals lessons about overcoming global threats.
Sachin Bhagchandani wins NCI Predoctoral to Postdoctoral Fellow Transition (F99/K00) Award.
Public-private partnership aims to advance development and production of medical treatments.
Blocking a key enzyme could kill parasites that have evolved resistance to existing drugs.
The alumni-founded startup Uncountable has developed a digital workbook to help scientists get more out of experimental data.
Professor Tim Jamison’s company Snapdragon Chemistry helps turn the latest innovations in chemistry into impactful drugs.
A machine learning model developed jointly by Janssen and MIT data scientists played a key role in the clinical trial process for the Johnson & Johnson Covid-19 vaccine.
MIT research combines machine learning with nanoparticle design for personalized drug delivery.
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
A strategy for preventing boron-containing compounds from breaking down could help medicinal chemists design new drugs.
Researchers develop a system to identify drugs that might be repurposed to fight the coronavirus in elderly patients.
Research suggests the products of transcription — RNA molecules — regulate their own production through a feedback loop.
A diverse group of researchers is working to turn new discoveries about the trillions of microbes in the body into treatments for a range of diseases.