Article via https://news.osu.edu
While it can take years for the pharmaceutical industry to create medicines capable of treating or curing human disease, a new study suggests that using generative artificial intelligence could vastly accelerate the drug-development process.
Ning’s team trained G2Retro on a dataset that contains 40,000 chemical reactions collected between 1976 and 2016.
“Our generative AI method G2Retro is able to supply multiple different synthesis routes and options, as well as a way to rank different options for each molecule,” said Ning.
“We are very excited about generative AI for medicine, and we are dedicated to using AI responsibly to improve human health,” said Ning.
This research was supported by Ohio State’s President’s Research Excellence Program and the National Science Foundation.