Published in

National Academy of Sciences, Proceedings of the National Academy of Sciences, 12(120), 2023

DOI: 10.1073/pnas.2221857120

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Computational prediction of interactions between Paxlovid and prescription drugs

Journal article published in 2023 by Yeji Kim ORCID, Jae Yong Ryu ORCID, Hyun Uk Kim ORCID, Sang Yup Lee ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Pfizer’s Paxlovid has recently been approved for the emergency use authorization (EUA) from the US Food and Drug Administration (FDA) for the treatment of mild-to-moderate COVID-19. Drug interactions can be a serious medical problem for COVID-19 patients with underlying medical conditions, such as hypertension and diabetes, who have likely been taking other drugs. Here, we use deep learning to predict potential drug–drug interactions between Paxlovid components (nirmatrelvir and ritonavir) and 2,248 prescription drugs for treating various diseases.