Researchers from McMaster University in Canada and Stanford University in the US have developed a new generative artificial ielligence model that can design billions of new aibiotic molecules. These aibiotics are cheap and easy to make in the laboratory.
According to an article published in Nature, researchers have developed a new generative artificial ielligence model called “SyheMol” that can design new aibiotics to fight bacteria. This artificial ielligence can be used to preve the spread of Acinetobacter baumannii – one of the most dangerous aibiotic-resista bacteria in the world.
Generative artificial ielligence for the production of new aibiotics
With the global spread of drug-resista bacteria, there is an urge need for new aibiotics; Even modern methods for creating new chemical compounds are limited or expensive. In general, aibiotics are considered to be an exclusive drug, meaning that as soon as an aibiotic is produced in the laboratory, bacteria quickly evolve to become resista to it. For this reason, it is necessary to coinuously produce new aibiotics with a fast and low-cost method. This is where artificial ielligence plays an importa role. SyheMol artificial ielligence can syhesize 132,000 molecular fragmes of differe natures through 13 chemical reactions. In other words, 30 billion differe molecular compounds can be designed and produced with this artificial ielligence.
Researchers have used this artificial ielligence to make aibiotics for Acinetobacter baumannii. The SyheMol model not only designs new molecules that can themselves lead to a promising drug, but also provides researchers with instructions on how to make each new compound. Such instructions help chemists to create AI-generated compounds.
