Treatments for diseases can help manage spread and future public health crises. To help prevent life-threatening responses due to COVID-19, a team of interdisciplinary researchers at Carleton University are using artificial intelligence to identify protein interactions that could be responsible for severe symptoms linked to COVID-19, such as inflammation.
The researchers are using data from other coronaviruses, such as SARS and MERS, to predict potentially problematic interactions. Using those interactions, they can better identify peptide inhibitors that could disrupt the interactions that lead to severe symptoms such as inflammation. By preventing severe inflammatory responses, fewer patients will experience life-threatening symptoms and it could reduce the need for restrictive public health measures.
For more information, visit Carleton University.