Literature DB >> 28024174

Biology meets physics: Reductionism and multi-scale modeling of morphogenesis.

Sara Green1, Robert Batterman2.   

Abstract

A common reductionist assumption is that macro-scale behaviors can be described "bottom-up" if only sufficient details about lower-scale processes are available. The view that an "ideal" or "fundamental" physics would be sufficient to explain all macro-scale phenomena has been met with criticism from philosophers of biology. Specifically, scholars have pointed to the impossibility of deducing biological explanations from physical ones, and to the irreducible nature of distinctively biological processes such as gene regulation and evolution. This paper takes a step back in asking whether bottom-up modeling is feasible even when modeling simple physical systems across scales. By comparing examples of multi-scale modeling in physics and biology, we argue that the "tyranny of scales" problem presents a challenge to reductive explanations in both physics and biology. The problem refers to the scale-dependency of physical and biological behaviors that forces researchers to combine different models relying on different scale-specific mathematical strategies and boundary conditions. Analyzing the ways in which different models are combined in multi-scale modeling also has implications for the relation between physics and biology. Contrary to the assumption that physical science approaches provide reductive explanations in biology, we exemplify how inputs from physics often reveal the importance of macro-scale models and explanations. We illustrate this through an examination of the role of biomechanical modeling in developmental biology. In such contexts, the relation between models at different scales and from different disciplines is neither reductive nor completely autonomous, but interdependent.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Biomechanics; Boundary conditions; Developmental biology; Explanatory reduction; Multi-scale modeling; Reductive explanations

Mesh:

Year:  2016        PMID: 28024174     DOI: 10.1016/j.shpsc.2016.12.003

Source DB:  PubMed          Journal:  Stud Hist Philos Biol Biomed Sci        ISSN: 1369-8486


  7 in total

1.  The Causal Closure of Physics in Real World Contexts.

Authors:  George F R Ellis
Journal:  Found Phys       Date:  2020-08-18       Impact factor: 1.390

2.  Redox Is a Global Biodevice Information Processing Modality.

Authors:  Eunkyoung Kim; Jinyang Li; Mijeong Kang; Deanna L Kelly; Shuo Chen; Alessandra Napolitano; Lucia Panzella; Xiaowen Shi; Kun Yan; Si Wu; Jana Shen; William E Bentley; Gregory F Payne
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2019-04-29       Impact factor: 10.961

3.  Dynamical Patterning Modules, Biogeneric Materials, and the Evolution of Multicellular Plants.

Authors:  Mariana Benítez; Valeria Hernández-Hernández; Stuart A Newman; Karl J Niklas
Journal:  Front Plant Sci       Date:  2018-07-16       Impact factor: 5.753

4.  Systems Medicine Disease: Disease Classification and Scalability Beyond Networks and Boundary Conditions.

Authors:  Richard Berlin; Russell Gruen; James Best
Journal:  Front Bioeng Biotechnol       Date:  2018-08-07

5.  The Quest for System-Theoretical Medicine in the COVID-19 Era.

Authors:  Felix Tretter; Olaf Wolkenhauer; Michael Meyer-Hermann; Johannes W Dietrich; Sara Green; James Marcum; Wolfram Weckwerth
Journal:  Front Med (Lausanne)       Date:  2021-03-29

Review 6.  Variability in Retinal Neuron Populations and Associated Variations in Mass Transport Systems of the Retina in Health and Aging.

Authors:  Moussa A Zouache
Journal:  Front Aging Neurosci       Date:  2022-02-25       Impact factor: 5.750

Review 7.  The levels problem in psychopathology.

Authors:  Markus I Eronen
Journal:  Psychol Med       Date:  2019-09-24       Impact factor: 7.723

  7 in total

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