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Network analytics for drug repurposing in COVID-19.
Siminea, Nicoleta; Popescu, Victor; Sanchez Martin, Jose Angel; Florea, Daniela; Gavril, Georgiana; Gheorghe, Ana-Maria; Itcus, Corina; Kanhaiya, Krishna; Pacioglu, Octavian; Popa, Laura Lona; Trandafir, Romica; Tusa, Maria Iris; Sidoroff, Manuela; Paun, Mihaela; Czeizler, Eugen; Paun, Andrei; Petre, Ion.
Afiliação
  • Siminea N; Faculty of Mathematics and Computer Science, ICUB, University of Bucharest, Romania and Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Romania.
  • Popescu V; Department of Information Technologies, Åbo Akademi University, Turku, Finland.
  • Sanchez Martin JA; Departamento de Sistemas Informáticos, Universidad Politécnica de Madrid, Spain.
  • Florea D; Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Romania.
  • Gavril G; Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Romania.
  • Gheorghe AM; Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Romania.
  • Itcus C; Department of Arctic and Antarctic Research, National Institute of Research and Development for Biological Sciences, Romania and Romanian Young Academy, University of Bucharest, Romania.
  • Kanhaiya K; Department of Information Technologies, Åbo Akademi University, Turku, Finland.
  • Pacioglu O; Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Romania.
  • Popa LL; Department of Microbiology and Immunology, Faculty of Biology, University of Bucharest, Bucharest, Romania and Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Bucharest, Romania.
  • Trandafir R; Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Bucharest, Romania, and Department of Mathematics and Computer Science, Technical University of Civil Engineering Bucharest, Romania.
  • Tusa MI; Department of Arctic and Antarctic Research, National Institute of Research and Development for Biological Sciences, Romania.
  • Sidoroff M; Department of Arctic and Antarctic Research, National Institute of Research and Development for Biological Sciences, Romania.
  • Paun M; Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Romania, and Faculty of Administration and Business, Research Institute of the University of Bucharest-ICUB, University of Bucharest, Romania.
  • Czeizler E; Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Romania.
  • Paun A; Faculty of Mathematics and Computer Science, ICUB, University of Bucharest, Romania, and Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Romania.
  • Petre I; Department of Mathematics and Statistics, University of Turku, 20014 Turku, Finland and National Institute of Research and Development for Biological Sciences, 296 Independentei Bd. District 6, 060031 Bucharest, Romania.
Brief Bioinform ; 23(1)2022 01 17.
Article em En | MEDLINE | ID: mdl-34864885
ABSTRACT
To better understand the potential of drug repurposing in COVID-19, we analyzed control strategies over essential host factors for SARS-CoV-2 infection. We constructed comprehensive directed protein-protein interaction (PPI) networks integrating the top-ranked host factors, the drug target proteins and directed PPI data. We analyzed the networks to identify drug targets and combinations thereof that offer efficient control over the host factors. We validated our findings against clinical studies data and bioinformatics studies. Our method offers a new insight into the molecular details of the disease and into potentially new therapy targets for it. Our approach for drug repurposing is significant beyond COVID-19 and may be applied also to other diseases.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antivirais / Biologia Computacional / Reposicionamento de Medicamentos / Mapas de Interação de Proteínas / SARS-CoV-2 / COVID-19 / Tratamento Farmacológico da COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Romênia
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antivirais / Biologia Computacional / Reposicionamento de Medicamentos / Mapas de Interação de Proteínas / SARS-CoV-2 / COVID-19 / Tratamento Farmacológico da COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Romênia