Artificial intelligence system rapidly predicts how two proteins will attach
The machine-learning model could help scientists speed the development of new medicines.
The machine-learning model could help scientists speed the development of new medicines.
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Researchers find three immunotherapy drugs given together can eliminate pancreatic tumors in mice.
How 3D-printed models of neuronal axons could accelerate development of new therapies to treat neurodegenerative disorders.
Assistant professor Connor Coley is developing tools that would be able to predict molecular behavior and learn from both successes and mistakes.
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.
Alison Wendlandt explores how the layout of atoms in molecules, such as sugars and drugs, can affect their nature and our bodies.
Inaugural AI Powered Drug Discovery and Manufacturing Conference drew pharmaceutical companies, government regulators, and pioneering drug researchers.
New research reveals how mTORC1 docks at lysosomal surface.
Machine-learning model could help chemists make molecules with higher potencies, much more quickly.
MIT researchers and industry form new consortium to aid the drug discovery process.
New fellowship program honoring trailblazing Nobel laureate awards four MIT postdocs focused on drug discovery and development.
Imaging technology could help researchers test new drugs for treating brain cancer.