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Contact-number-driven virus evolution: A multi-level modeling framework for the evolution of acute or persistent RNA virus infection.
Sunagawa, Junya; Komorizono, Ryo; Park, Hyeongki; Hart, William S; Thompson, Robin N; Makino, Akiko; Tomonaga, Keizo; Iwami, Shingo; Yamaguchi, Ryo.
Afiliación
  • Sunagawa J; Department of Advanced Transdisciplinary Science, Hokkaido University, Sapporo, Hokkaido, Japan.
  • Komorizono R; Laboratory of RNA Viruses, Department of Virus Research, Institute for Life and Medical Sciences (LiMe), Kyoto University, Kyoto, Japan.
  • Park H; interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
  • Hart WS; Mathematical Institute, University of Oxford, Oxford, United Kingdom.
  • Thompson RN; Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Makino A; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
  • Tomonaga K; Laboratory of RNA Viruses, Department of Virus Research, Institute for Life and Medical Sciences (LiMe), Kyoto University, Kyoto, Japan.
  • Iwami S; Laboratory of RNA Viruses, Graduate School of Biostudies, Kyoto University, Kyoto, Japan.
  • Yamaguchi R; Laboratory of RNA Viruses, Department of Virus Research, Institute for Life and Medical Sciences (LiMe), Kyoto University, Kyoto, Japan.
PLoS Comput Biol ; 19(5): e1011173, 2023 May.
Article en En | MEDLINE | ID: mdl-37253076
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Virus / Virosis / COVID-19 Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Japón
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Virus / Virosis / COVID-19 Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Japón