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Computational prediction of interactions between Paxlovid and prescription drugs.
Kim, Yeji; Ryu, Jae Yong; Kim, Hyun Uk; Lee, Sang Yup.
Afiliação
  • Kim Y; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
  • Ryu JY; Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
  • Kim HU; Department of Biotechnology, Duksung Women's University, Seoul 01369, Republic of Korea.
  • Lee SY; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Proc Natl Acad Sci U S A ; 120(12): e2221857120, 2023 03 21.
Article em En | MEDLINE | ID: mdl-36913586
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.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Medicamentos sob Prescrição / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Medicamentos sob Prescrição / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2023 Tipo de documento: Article