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元宇宙时代系统生物学中的协作架构。

An architecture for collaboration in systems biology at the age of the Metaverse.

作者信息

Jacopin Eliott, Sakamoto Yuki, Nishida Kozo, Kaizu Kazunari, Takahashi Koichi

机构信息

RIKEN, Center for Biosystems Dynamics Research, 6-2-3 Furuedai, Suita, Osaka, 565-0874, Japan.

RIKEN, Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan.

出版信息

NPJ Syst Biol Appl. 2024 Jan 27;10(1):12. doi: 10.1038/s41540-024-00334-8.

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.

摘要

由于元宇宙的当前状态在很大程度上是由企业利益驱动的,而企业利益可能与科学目标和价值观不一致,学术界应该在其发展中发挥更积极的作用。在此,我们提出了构建支持系统生物学研究与合作的元宇宙所面临的挑战和解决方案。我们的解决方案由两个部分组成:Kosmogora,一个服务器,可确保在元宇宙这样高度协作的环境中生物数据的访问、可追溯性和完整性;以及ECellDive,一个虚拟现实应用程序,用于探索、交互和基于Kosmogora管理的数据进行构建。我们通过可视化一个代谢网络及其通量平衡分析来说明这两个部分之间的协同作用。我们还认为,系统生物学的元宇宙将促进该领域实验人员和建模人员之间更密切的沟通与合作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ece3/10821884/39d5646b5c0e/41540_2024_334_Fig1_HTML.jpg

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