Matters of life and death in computational cell biology.

IF 4.4 2区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

NPJ Systems Biology and Applications Pub Date : 2026-04-20 DOI:10.1038/s41540-026-00718-y

Connor McShaffrey, Eran Agmon, Randall D Beer

引用次数: 0

Abstract

Many cell models deal with constraints for life's persistence, yet we lack principles for how dynamics interact with them and their origins in actual biology. Computational biology needs a theory of viability that confronts the life-death boundary to overcome this. We explore how geometric structures in a model's state space offer organizing principles for cell fate, and how idealized models of emergent individuals may help explain life's intrinsically generated limits.

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计算细胞生物学中的生死问题。

许多细胞模型处理生命持续性的限制，然而我们缺乏动力学如何与它们相互作用以及它们在实际生物学中的起源的原则。计算生物学需要一种面对生死边界的生存能力理论来克服这一点。我们探讨了模型状态空间中的几何结构如何为细胞命运提供组织原则，以及新兴个体的理想化模型如何有助于解释生命内在产生的限制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NPJ Systems Biology and Applications Mathematics-Applied Mathematics

CiteScore

5.80

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.