Drug development
Drug development

Drug development

Alumni/ae Artificial Intelligence Bioengineering and biotechnology Biological engineering Drug development Innovation and Entrepreneurship (I&E) machine learning Proteins School of Engineering Startups

Bringing AI-driven protein-design tools to biologists everywhere

Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.

Antibiotics Artificial Intelligence Biological engineering Collaboration Drug development Health sciences and technology Institute for Medical Engineering and Science (IMES) Jameel Clinic Research School of Engineering Synthetic biology

Using synthetic biology and AI to address global antimicrobial resistance threat

Driven by overuse and misuse of antibiotics, drug-resistant infections are on the rise, while development of new antibacterial tools has slowed.

Antibiotics Artificial Intelligence Bacteria Biological engineering Broad Institute Collaboration Computer science and technology Disease Drug development Faculty Harvard-MIT Health Sciences and Technology Health sciences and technology Institute for Medical Engineering and Science (IMES) Interview Jameel Clinic Microbes School of Engineering Synthetic biology

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.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drug development Electrical engineering and computer science (EECS) Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Pharmaceuticals Proteins Research School of Engineering Special events and guest speakers

MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

BoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it.

Algorithms Antibiotics Artificial Intelligence Bacteria Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Disease Drug development Drug discovery Electrical engineering and computer science (EECS) Health Care Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Viruses

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.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Covid-19 Data Disease Drug development Electrical engineering and computer science (EECS) Health Care Health sciences and technology Influenza Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Vaccines Viruses

MIT researchers develop AI tool to improve flu vaccine strain selection

VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.

Artificial Intelligence Chemical engineering chemistry Cleaner industry Computer science and technology Drug development machine learning Pharmaceuticals Research School of Engineering

A new model predicts how molecules will dissolve in different solvents

Solubility predictions could make it easier to design and synthesize new drugs, while minimizing the use of more hazardous solvents.

Antibiotics Artificial Intelligence Bacteria Biological engineering Disease Drug development Drug resistance Institute for Medical Engineering and Science (IMES) Medicine Microbes National Institutes of Health (NIH) Research School of Engineering

Using generative AI, researchers design compounds that can kill drug-resistant bacteria

The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) Department of Energy (DoE) Drug development Drug discovery Electrical engineering and computer science (EECS) IDSS Jameel Clinic machine learning Mathematics Medicine MIT Schwarzman College of Computing National Science Foundation (NSF) Pharmaceuticals Research School of Engineering

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.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drug development Electrical engineering and computer science (EECS) Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing National Science Foundation (NSF) Open access Pharmaceuticals Research School of Engineering

MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures

With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly.