Bioinformation metaverse: Current status, challenges, and future research themes

<p class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph; line-height: 120%; layout-grid-mode: char; mso-layout-grid-align: none; punctuation-wrap: simple; margin: 12.0pt 0cm 6.0pt 0cm;"><span lang="EN-US" style="font-size: 10.0pt; mso-bidi-font-size: 12.0pt; line-height: 120%; font-family: 'Times New Roman',serif; mso-fareast-language: ZH-CN;">The bioinformation metaverse proposed in this paper is founded on bioinformatics, which takes the big data of biology to collect, filter, display the visual, calculate, merge, simulate, and optimize the big biology problem during the analysis process with the application of high-end information-processing technologies to solve the high-dimension, high-complexity problem for the bioinformation metaverse field. It can realize multi-scale traversal from atomic layers and molecules to proteins and complete biological systems. They are important for bioinformation metaverse construction and development. Multi-source data fusion and analytics methods are important in efficiently interpreting high-dimensional and high-complexity biological systems from atomic layers to molecules. In this paper, the application of the metaverse in six aspects (molecular manipulation, biological perception, protein structure study, decentralized technology, interactive simulation, and visualization) is analyzed further, highlighting the significance of the bioinformation metaverse for bioinformatics research and development. The multi-layered and closely connected biological information system can be built up to make life-science study and technology research more efficient.</span></p>