Antibiotics
Antibiotics

Antibiotics

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.

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.

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.

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.

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.