Artificial intelligence was taught to select drugs for COVID-19
A team led by Emeritus Professor Nakayama Keiichi claims that AI software has studied more than 2.5 million combinations of pathogenic proteins and the chemicals that can inhibit their action.
According to the scientists, traditional methods of finding candidate drugs take a lot of time and effort because they require a large number of experiments with many chemicals.
The report also said that the system analyzes up to 6,000 types of chemicals per minute.
According to the developers, the program recommended the use of an old glaucoma drug to fight the coronavirus. Further experiments with cultured cells confirmed that the drug could block the viral infection.