Smart discovery of new antibiotics
The development of antibiotics is one of the greatest advances in modern medicine. But in recent decades, there has also been an alarming increase in bacterial resistance to antimicrobial drugs, making many antibiotics ineffective against previously treatable infections. In addition, misuse of antibiotics in both humans and animals has caused the emergence of new, antibiotic-resistant superbacteria, making the situation worse. This ”shadow pandemic” is contributing to the deaths of over 5 million people around the world every year—a number that could reach 10 million by 2050 if no action is taken.
These are the challenges addressed by a research project led by Yves Brun, professor in the Department of Microbiology, Infectiology and Immunology and researcher at the Centre for Biomedical Innovation in the Faculty of Medicine at UdeM. In this project, which has received $21 million in funding, Brun’s team and their partners will create new partnerships with researchers from various disciplines, including artificial intelligence, microbiology, pharmacology and chemistry, to develop a rapid-response platform that will accelerate the discovery of new antibiotics to fight drug-resistant bacteria and thus prevent potential pandemics.
The team’s main strategy will be to design new drugs in silico—in other words, using computer-assisted design, an opportunity created by the latest advances in artificial intelligence. The researchers also plan to use a unique approach in which they run a battery of cutting-edge microscopic, biochemical and pharmacological tests to validate and train the model for designing drugs in silico, so as to optimize its predictions continually.