orlando, florida – It costs millions, if not billions, of dollars to get drugs from the lab to the pharmacy. Last year, the FDA approved 37 of the thousands of drugs in clinical trials, the fewest to pass regulatory review since 2016.
But now, artificial intelligence (AI) could help sort out the good from the bad, the drugs that work and the ones that don’t, and the time it takes to get drugs approved could be faster than ever. there is.
Everywhere you look, everyone seems to be talking about AI. But AI isn’t just helping us write resumes and papers, it’s also changing the world of medicine.
“Not only does it save time, it also reduces the number of experiments,” said Sudipta Shiel, a materials scientist at the University of Central Florida.
It takes an average of 10 years to develop a new drug. Now, a team at the University of Central Florida aims to speed up that process using an AI-based drug screening method they developed.
“We are basically working on modeling drug-target protein interactions and predicting those interactions,” explained Ozlem Garibay, a computer scientist at UCF.
Translate the complex interactions at each drug-protein binding site into words. The AI model then analyzes that language to learn which part of the viral protein the drug binds to. It can predict drug effects with 97% accuracy.
“So, for example, you can give a novel coronavirus protein and test it against all the FDA-approved drugs and see if they bind. That’s the beauty of this study. said Medhi Yazdani Jahromi, PhD student in the UCF Faculty of Engineering and Computer Science.
It’s called “AttendantSiteDTI” and is available now for free to anyone developing new drugs.
“I think it will revolutionize the medical field in many ways,” Garibay said.
Another benefit of using AI in drug discovery is less time spent in the lab and lower costs of creating AI, so the savings could be passed on to consumers, the researchers said. is what I’m thinking. With this technology, researchers are now ready to create a ChatGPT-like website where other scientists can easily enter data and see if their medicine works. I was.
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