Lesne Annick
CNRS UMR 7600, Université Pierre et Marie Curie-Paris 6, 4 place Jussieu, 75252 Paris Cedex 05, France.
Acta Biotheor. 2013 Mar;61(1):3-19. doi: 10.1007/s10441-013-9170-z. Epub 2013 Jan 18.
It is argued that multiscale approaches are necessary for an explanatory modeling of biological systems. A first step, besides common to the multiscale modeling of physical and living systems, is a bottom-up integration based on the notions of effective parameters and minimal models. Top-down effects can be accounted for in terms of effective constraints and inputs. Biological systems are essentially characterized by an entanglement of bottom-up and top-down influences following from their evolutionary history. A self-consistent multiscale scheme is proposed to capture the ensuing circular causality. Its differences with standard mean-field self-consistent equations and slow-fast decompositions are discussed. As such, this scheme offers a way to unravel the multilevel architecture of living systems and their regulation. Two examples, genome functions and biofilms, are detailed.
有人认为，多尺度方法对于生物系统的解释性建模是必要的。除了物理和生命系统的多尺度建模共有的第一步之外，还有基于有效参数和最小模型概念的自下而上的整合。自上而下的效应可以根据有效约束和输入来解释。生物系统的本质特征是自下而上和自上而下的影响因进化历史而相互纠缠。提出了一种自洽的多尺度方案来捕捉随之而来的循环因果关系。讨论了它与标准平均场自洽方程和快慢分解的差异。因此，该方案提供了一种揭示生命系统的多层次结构及其调节的方法。详细介绍了两个例子，即基因组功能和生物膜。
