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A general framework dedicated to computational morphogenesis Part I - Constitutive equations

机译:专用于计算形态发生部分I - 本构方程的一般框架

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摘要

In order to understand living organisms, considerable experimental efforts and resources have been devoted to correlate genes and their expressions with cell, tissue, organ and whole organisms' phenotypes. This data driven approach to knowledge discovery has led to many breakthrough in our understanding of healthy and diseased states, and is paving the way to improve the diagnosis and treatment of diseases. Complementary to this data driven approach, computational models of biological systems based on first principles have been developed in order to deepen our understanding of the multi-scale dynamics that drives normal and pathological biological functions. In this paper we describe the biological, physical and mathematical concepts that led to the design of a Computational Morphogenesis (CM) platform baptized Generic Modeling and Simulating Platform (GMSP). Its role is to generate realistic 3D multi-scale biological tissues from virtual stem cells and the intended target applications include in virtuo studies of normal and abnormal tissue (re)generation as well as the development of complex diseases such as carcinogenesis. At all space-scales of interest, biological agents interact with each other via biochemical, bioelectrical, and mechanical fields that operate in concert during embryogenesis, growth and adult life. The spatio-temporal dependencies of these fields can be modeled by physics-based constitutive equations that we propose to examine in relation to the landmark biological events that occur during embryogenesis.
机译:为了了解生物体,已经致力于将基因及其表达与细胞,组织,器官和整个生物体表型相关联。这种数据驱动的知识发现方法导致了我们对健康和患病状态的理解的许多突破,并且正在为改善疾病的诊断和治疗来铺平途径。对该数据驱动方法的补充,基于第一原理的基于第一原理的生物系统的计算模型,以加深我们对驱动正常和病理生物功能的多尺度动态的理解。在本文中,我们描述了导致计算形态发生(CM)平台受洗通用建模和模拟平台(GMSP)设计的生物学,物理和数学概念。其作用是从虚拟干细胞产生现实的3D多尺度生物组织,预期的目标应用包括正常和异常组织(RE)生成的Virtuo研究以及致癌疾病的发育。在所有感兴趣的空间尺度上,生物剂通过生物化学,生物电和机械领域彼此相互作用,所述生物电解和机械领域在胚胎发生,生长和成人寿命期间在音乐会中进行。这些字段的时空依赖性可以由基于物理的本构剖面方程来建立的,我们建议在胚胎发生期间发生的地标生物事件相关检查。

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