In a new paper, MIT researchers detail how they have used AI techniques to discover a class of “of antibiotics capable of killing methicillin-resistant Staphylococcus aureus (MRSA),” reports Helen Floresh for Fierce Biotech. “This paper announces the first AI-driven discovery of a new class of small molecule antibiotics capable of addressing antibiotic resistance, and one of the few to have been discovered overall in the past 60 years,” says postdoctoral fellow Felix Wong.
Researchers at MIT have used artificial intelligence to uncover, “a new class of antibiotics that can treat infections caused by drug-resistant bacteria,” reports Jeremy Hsu for New Scientist. “Our [AI] models tell us not only which compounds have selective antibiotic activity, but also why, in terms of their chemical structure,” says postdoctoral fellow Felix Wong.
Researchers at MIT and elsewhere have used artificial intelligence to develop a new antibiotic to combat Acinetobacter baumannii, a challenging bacteria known to become resistant to antibiotics, reports Hannah Kuchler for the Financial Times. “It took just an hour and a half — a long lunch — for the AI to serve up a potential new antibiotic, an offering to a world contending with the rise of so-called superbugs: bacteria, viruses, fungi and parasites that have mutated and no longer respond to the drugs we have available,” writes Kuchler.
Researchers from MIT and McMaster University have used artificial intelligence to identify a new antibiotic that can fight against a drug-resistant bacteria commonly found in hospitals and medical offices, reports Ken Alltucker for USA Today. The researchers believe the AI “process used to winnow thousands of potential drugs to identify one that may work is an approach that can work in drug discovery,” writes Alltucker.
Researchers from MIT and elsewhere have used artificial intelligence to develop a new antibiotic to address Acinetobacter baumannii, a bacteria known for infecting wounds, lungs and kidneys, reports Harland-Dunaway for The World.
Using a machine-learning algorithm, researchers from MIT and McMaster University have discovered a new type of antibiotic that works against a type of drug-resistant bacteria, reports Brenda Goodman for CNN. Goodman notes that the compound “worked in a way that stymied only the problem pathogen. It didn’t seem to kill the many other species of beneficial bacteria that live in the gut or on the skin, making it a rare narrowly targeted agent.”
Researchers from MIT and McMaster University used a machine-learning algorithm to identify a new antibiotic that can treat a bacteria that causes deadly infections, reports Maya Yang for The Guardian. The researchers used an “AI algorithm to screen thousands of antibacterial molecules in an attempt to predict new structural classes. As a result of the AI screening, researchers were able to identify a new antibacterial compound which they named abaucin,” writes Yang.
Lawrence A. Tabak, who is currently performing the duties of the NIH Director, spotlights a new study by Prof. James Collins and his colleagues aimed at exploring the potential of AI to streamline the process of selecting new antibiotics. “In future studies, the Collins lab will continue to incorporate and train the computers on even more biochemical and biophysical data to help with the predictive process," Tabak writes. "That’s why this study should be interpreted as an interim progress report on an area of science that will only get better with time.”
Scientists from MIT and Brigham and Women’s Hospital have developed a plant-based gel that can be used to deliver effective doses of antimicrobial drugs around the world, reports Ed Cara for Gizmodo. The gels “can be produced cheaply and combined with edible materials like beeswax to create different textures and viscosity, ranging from something like a protein shake to yogurt,” writes Cara.
Researchers at MIT worked with colleagues at Brigham and Women’s Hospital to develop a gel that could deliver drugs that typically come in pill form. “The work involved testing gel formulations with trained food tasters who found that the most appealing versions were made from cottonseed oil (neutral flavor) or sesame oil (nutty flavor),” reports Amanda Kooser for CNET.
FiercePharma’s Nick Paul Taylor writes about a new drug delivery gel developed by researchers at MIT and Brigham and Women’s Hospital. “Our system is an oil-based system gel, which makes it compatible with most drugs,” says visiting scientist Ameya Kirtane. “This enables the formulation of drugs that were not available in semi-solid or liquid dosage forms and allows patients, especially children, to more easily take their medicine.”
MIT researchers have developed a new drug-delivering gel that could make it easier for children and adults to swallow their medicine, reports Gwen Egan for Boston.com. The gel could be made in a variety of different textures and can be stored without refrigeration.
Researchers from MIT and Brigham and Women’s Hospital have developed a gel that can be mixed into medicine to make it easier to swallow, reports CBS Boston. “The gel is made out of plant-based oils and doesn’t have to be refrigerated,” says CBS Boston. “The hope is that it can one day be used to help children and adults who have trouble swallowing pills.”
Prof. Peter Dedon discusses his research investigating how scientists can make new antibiotics by inserting “engineered genes into spots along the bacterial genome that optimize protein production,” writes Carrie Arnold for Scientific American. “There’s great potential there,” Dedon says. “There’s a whole new world of antibiotic targets.”
Prof. James Collins speaks with Boston 25 reporter Julianne Lima about the growing issue of antibiotic resistant bacteria and his work using AI to identify new antibiotics. Collins explains that a new platform he developed with Prof. Regina Barzilay uncovered “a host of new antibiotics including one that we call halicin that has remarkable activity against multi drug-resistant pathogens.”