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<p>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.</p>

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Matters of life and death in computational cell biology

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月20日

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  • Connor McShaffrey,
  • Eran Agmon,
  • Randall D. Beer

摘要

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.