Multiscale Analysis of Biological Systems |
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Authors: | Annick Lesne |
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Affiliation: | 1. CNRS UMR 7600, Université Pierre et Marie Curie-Paris 6, 4 place Jussieu, 75252, Paris Cedex 05, France 2. Institut des Hautes études Scientifiques, 35 route de Chartres, 91440, Bures-sur-Yvette, France
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Abstract: | 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. |
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