Complex versus Complicated Systems Biology, Universality versus Detailed Modelling

Biological systems are generally complicated and/or complex. In the former approach, one sets up a model with a large number of parameters to describe the system in detail. The latter approach focuses on understanding the universal aspects of biological systems. In this case, an appropriate simple model represents a universality class. The extraction of universal properties is supported by evolutionary robustness and the reduction of dimensionality in high-dimensional states. Integrating the data-driven omics approach with the universality approach is an important step in systems biology.

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Publication Details

Journal
Current Opinion in Systems Biology
Published
2026-03-01
DOI
https://doi.org/10.1016/j.coisb.2026.100589
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Complex versus Complicated Systems Biology, Universality versus Detailed Modelling

Kunihiko Kaneko
Current Opinion in Systems Biology
Gene Regulatory Network Analysis
article

Complex versus Complicated Systems Biology, Universality versus Detailed Modelling

Kunihiko Kaneko
article en

Abstract

Biological systems are generally complicated and/or complex. In the former approach, one sets up a model with a large number of parameters to describe the system in detail. The latter approach focuses on understanding the universal aspects of biological systems. In this case, an appropriate simple model represents a universality class. The extraction of universal properties is supported by evolutionary robustness and the reduction of dimensionality in high-dimensional states. Integrating the data-driven omics approach with the universality approach is an important step in systems biology.

Current Opinion in Systems Biology
University of Copenhagen (DK), The University of Tokyo (JP)
Openalex Percentile: Top 5%
Gene Regulatory Network Analysis
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