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An architecture for collaboration in systems biology at the age of the Metaverse.
Jacopin, Eliott; Sakamoto, Yuki; Nishida, Kozo; Kaizu, Kazunari; Takahashi, Koichi.
Afiliação
  • Jacopin E; RIKEN, Center for Biosystems Dynamics Research, 6-2-3 Furuedai, Suita, Osaka, 565-0874, Japan. eliott.jacopin@riken.jp.
  • Sakamoto Y; RIKEN, Center for Biosystems Dynamics Research, 6-2-3 Furuedai, Suita, Osaka, 565-0874, Japan.
  • Nishida K; RIKEN, Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan.
  • Kaizu K; Tokyo University of Agriculture and Technology, Department of Biotechnology and Life Science, 2-24-16 Nakamachi, Koganei, Tokyo, 184-8588, Japan.
  • Takahashi K; RIKEN, Center for Biosystems Dynamics Research, 6-2-3 Furuedai, Suita, Osaka, 565-0874, Japan.
NPJ Syst Biol Appl ; 10(1): 12, 2024 Jan 27.
Article em En | MEDLINE | ID: mdl-38280851
ABSTRACT
As the current state of the Metaverse is largely driven by corporate interests, which may not align with scientific goals and values, academia should play a more active role in its development. Here, we present the challenges and solutions for building a Metaverse that supports systems biology research and collaboration. Our solution consists of two components Kosmogora, a server ensuring biological data access, traceability, and integrity in the context of a highly collaborative environment such as a metaverse; and ECellDive, a virtual reality application to explore, interact, and build upon the data managed by Kosmogora. We illustrate the synergy between the two components by visualizing a metabolic network and its flux balance analysis. We also argue that the Metaverse of systems biology will foster closer communication and cooperation between experimentalists and modelers in the field.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia de Sistemas Idioma: En Revista: NPJ Syst Biol Appl Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia de Sistemas Idioma: En Revista: NPJ Syst Biol Appl Ano de publicação: 2024 Tipo de documento: Article