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.
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.
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.
A new book by Thomas Levenson examines how germ theory arose, launched modern medicine, and helped us limit fatal infectious diseases.
These bacteria, which could be designed to detect pollution or nutrients, could act as sensors to help farmers monitor their crops.
By studying cellular enzymes that perform difficult reactions, MIT chemist Dan Suess hopes to find new solutions to global energy challenges.
Findings may help predict how rain and irrigation systems launch particles and pathogens from watery surfaces, with implications for industry, agriculture, and public health.
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
MIT oceanographer and biogeochemist Andrew Babbin has voyaged around the globe to investigate marine microbes and their influence on ocean health.
Studying the pathogen R. parkeri, researchers discovered the first evidence of extensive and stable interkingdom contacts between a pathogen and a eukaryotic organelle.
MIT physicists develop a predictive formula, based on bacterial communities, that may also apply to other types of ecosystems, including the human GI tract.
New findings illuminate how Prochlorococcus’ nightly “cross-feeding” plays a role in regulating the ocean’s capacity to cycle and store carbon.
A new study of the microbiome finds intestinal bacterial interact much less often with viruses that trigger immunity updates than bacteria in the lab.
A newly characterized anti-viral defense system in bacteria aborts infection through a novel mechanism by chemically altering mRNA.
By helping microbes withstand industrial processing, the method could make it easier to harness the benefits of microorganisms used as medicines and in agriculture.
MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.