Drug discovery
Drug discovery

Drug discovery

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Disease Drug discovery Electrical engineering and computer science (EECS) Jameel Clinic Mathematics Research School of Engineering School of Science Viruses

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.

Artificial Intelligence Bioengineering and biotechnology Biological engineering Cancer Classes and programs Drug discovery Innovation and Entrepreneurship (I&E) Profile School of Engineering Students Undergraduate

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.

Antibiotics Artificial Intelligence Bacteria Biological engineering Drug discovery Health sciences and technology Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering

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.

Antibiotics Artificial Intelligence Biological engineering Broad Institute Drug discovery Drug resistance Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Research School of Engineering

Using AI, MIT researchers identify a new class of antibiotic candidates

These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.

Artificial Intelligence Cambridge, Boston and region Classes and programs Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drug discovery Education, teaching, academics Electrical Engineering & Computer Science (eecs) Harvard-MIT Health Sciences and Technology health Institute for Medical Engineering and Science (IMES) Jameel Clinic K-12 education machine learning Media Lab Medicine MIT Schwarzman College of Computing School of Engineering Special events and guest speakers STEM education

How to help high schoolers prepare for the rise of artificial intelligence

A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.

Algorithms Artificial Intelligence chemistry Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Drug discovery Electrical Engineering & Computer Science (eecs) machine learning Materials science and engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

Learning the language of molecules to predict their properties

This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.

Artificial Intelligence Biological engineering Broad Institute Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drug discovery Electrical engineering and computer science (EECS) machine learning Mathematics MIT Schwarzman College of Computing National Institutes of Health (NIH) National Science Foundation (NSF) Proteins Ragon Institute Research School of Engineering School of Science

New model offers a way to speed up drug discovery

By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.

Antibiotics Artificial Intelligence Biological engineering Drug discovery Drug resistance Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning MIT Schwarzman College of Computing Research School of Engineering

Using AI, scientists find a drug that could combat drug-resistant infections

The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drug development Drug discovery Electrical Engineering & Computer Science (eecs) Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Pharmaceuticals Research School of Engineering

Speeding up drug discovery with diffusion generative models

MIT researchers built DiffDock, a model that may one day be able to find new drugs faster than traditional methods and reduce the potential for adverse side effects.