Bacteria
Bacteria

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.

3 Questions: Using computation to study the world’s best single-celled chemists

Assistant Professor Yunha Hwang utilizes microbial genomes to examine the language of biology. Her appointment reflects MIT’s commitment to exploring the intersection of genetics research and AI.

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.

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.

AI system predicts protein fragments that can bind to or inhibit a target

FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.

Advancing technology for aquaculture

MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.

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.

Search algorithm reveals nearly 200 new kinds of CRISPR systems

By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.

Bacterial injection system delivers proteins in mice and human cells

With further development, the programmable system could be used in a range of applications including gene and cancer therapies.