论文标题
系统化细胞复杂性:希尔伯特式生物学问题的方法
Systematizing Cellular Complexity: A Hilbertian Approach To Biological Problems
论文作者
论文摘要
检查细胞系统的各个成分在发现分子反应和相互作用方面已成功。但是,挑战在于将这些组件集成到全面的系统规模地图中。由于缺少链接(未知变量),高维参数空间中的非线性,轻描淡写的自然噪声和随机性以及缺乏对因果影响和时间动态的关注,因此引起了这一困难。复合静态和现象学描述虽然显得复杂,但缺乏使生物系统真正“复杂”的本质。 因此,系统级问题的形式化对于构建生物学的元理论很重要。解决细胞调节,适应性和噪声管理的基本方面对于理解生物系统的鲁棒性和功能至关重要。这些方面封装了细胞在保持稳定性,响应环境变化以及利用噪声方面的功能方面面临的挑战。这项工作研究了细胞必须解决的这些关键问题,是这种形式化的模板,也是迈向生物学研究的一步。通过详细探索细胞机制,尤其是稳态配置,离子通道和利用噪声,本文旨在在有形的背景下说明复杂的概念和理论,从而在抽象的理论框架和具体的生物学现象之间提供了桥梁。
Examining individual components of cellular systems has been successful in uncovering molecular reactions and interactions. However, the challenge lies in integrating these components into a comprehensive system-scale map. This difficulty arises due to factors such as missing links (unknown variables), overlooked nonlinearities in high-dimensional parameter space, downplayed natural noisiness and stochasticity, and a lack of focus on causal influence and temporal dynamics. Composite static and phenomenological descriptions, while appearing complicated, lack the essence of what makes the biological systems truly "complex". The formalization of system-level problems is therefore important in constructing a meta-theory of biology. Addressing fundamental aspects of cellular regulation, adaptability, and noise management is vital for understanding the robustness and functionality of biological systems. These aspects encapsulate the challenges that cells face in maintaining stability, responding to environmental changes, and harnessing noise for functionality. This work examines these key problems that cells must solve, serving as a template for such formalization and as a step towards the axiomatization of biological investigations. Through a detailed exploration of cellular mechanisms, particularly homeostatic configuration, ion channels and harnessing noise, this paper aims to illustrate complex concepts and theories in a tangible context, providing a bridge between abstract theoretical frameworks and concrete biological phenomena.