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Connecting the dots: Computational network analysis for disease insight and drug repurposing.
Siminea, Nicoleta; Czeizler, Eugen; Popescu, Victor-Bogdan; Petre, Ion; Paun, Andrei.
Afiliación
  • Siminea N; Faculty of Mathematics and Computer Science, University of Bucharest, Romania; National Institute of Research and Development for Biological Sciences, Romania.
  • Czeizler E; Faculty of Medicine, University of Helsinki, Finland; National Institute of Research and Development for Biological Sciences, Romania.
  • Popescu VB; Revvity, Inc., Finland.
  • Petre I; Department of Mathematics and Statistics, University of Turku, Finland; National Institute of Research and Development for Biological Sciences, Romania. Electronic address: ion.petre@utu.fi.
  • Paun A; Faculty of Mathematics and Computer Science, University of Bucharest, Romania; National Institute of Research and Development for Biological Sciences, Romania. Electronic address: apaun@fmi.unibuc.ro.
Curr Opin Struct Biol ; 88: 102881, 2024 Oct.
Article en En | MEDLINE | ID: mdl-38991238
ABSTRACT
Network biology is a powerful framework for studying the structure, function, and dynamics of biological systems, offering insights into the balance between health and disease states. The field is seeing rapid progress in all of its aspects data availability, network synthesis, network analytics, and impactful applications in medicine and drug development. We review the most recent and significant results in network biomedicine, with a focus on the latest data, analytics, software resources, and applications in medicine. We also discuss what in our view are the likely directions of impactful development over the next few years.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Reposicionamiento de Medicamentos Límite: Humans Idioma: En Revista: Curr Opin Struct Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Rumanía Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Reposicionamiento de Medicamentos Límite: Humans Idioma: En Revista: Curr Opin Struct Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Rumanía Pais de publicación: Reino Unido