An artificial intelligence algorithm developed by a global team led by researchers at New York University (NYU) can identify existing drugs that could be repurposed during future pandemics.
The PHENotype SIMulator (PHENSIM) simulates tissue-specific infection of SARS-CoV-2 host cells and calculates the antiviral effects of existing drugs via in silico experiments that take into consideration selected cells, cell lines, and tissues under various alterations of biomolecules.
The tool's effectiveness in identifying drugs for repurposing was confirmed by comparing its results with recent in vitro studies.
NYU's Naomi Maria said, "We've been able to model the SARS-CoV-2 infection and identify several COVID-19 drugs currently available as potentially effective in battling the next outbreak."
Added NYU's Bud Mishra, "Identifying and selecting ahead of time the best candidates, prior to costly and laborious in vitro and in vivo experiments and ensuing clinical trials, could significantly improve disease-specific drug development."
From New York University
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