Discovering new drugs is expensive and time-consuming. But artificial ielligence has recely been able to find three ai-aging drugs that are able to preve aging-related diseases and reduce the speed of aging by removing old and dysfunctional cells.
According to The Conversation, researchers from the University of Edinburgh and the IBBTEC-CSIC National Research Ceer in Saander, Spain fed samples of data from ai-aging drugs and non-aging drugs to artificial ielligence models so that the computer could learn the differences between these drugs. Eveually 4340 molecules It was given to the artificial ielligence model and after five minutes the results were obtained.
The computer could 21 compound molecules to ideify those who had the highest chance of coping with aging. Scieists say that if all those 4,340 molecules were to be tested in the experime, it would take at least a few weeks of time and 50,000 euros of capital.
Discovering and verifying the effectiveness of an ai-aging drug by artificial ielligence
In the next step, these volueer drugs were tested on healthy and disabled cells (or zombies) and it was found that the three combined molecules are able to remove the disabled cells and do not harm the majority of healthy cells. Further, further tests showed that one of these three drugs named “OleandrinIt is more effective than others.
After confirming the effect of these drugs on zombie cells, scieists are now testing these three drugs in human lung tissue samples. They hope that In two years To be able to show the results of their efforts.
Researchers say that the poteial of using this combined approach in drug discovery is very high. Artificial ielligence can increase the work speed of chemists and biologists by receiving sufficie and high-quality information and lead to the developme of drugs for incurable diseases.
Researchers in ai-aging treatmes are usually looking for mechanisms to remove dysfunctional cells. These cells are the cells that survive, but lose their ability to reproduce.
