Mathematical Modeling and Computational Intelligence in Engineering Applications
Mathematical Modeling and Computational Intelligence in Engineering Applications
复制标题
工程应用中的数学建模和计算智能
DOI：
10.1007/978-3-319-38869-4_2
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
De Moura C
中科院分区：
文献类型：
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作者：
De Moura C
肌动蛋白和微管是细胞骨架的组成部分，是神经元生长和维持的关键介质。了解它们是如何被调节的，增强了我们对神经发育、衰老、退化和再生的理解。然而，生物学研究本身并不能解开复杂的细胞骨架机制。我们希望，查询有关细胞骨架可以显着提高，如果他们的物理化学行为被隐藏和总结的数学和计算模型，可以耦合到生物调控的概念。我们的计算建模关注与相对简单的，手指状的膜突起称为丝状伪足的动力学相关的机械方面。在这里，我们提出了一种替代的方法来表示位移的分子和细胞质液中的极窄和长的丝状伪足和讨论的策略，耦合粒子在细胞中的方法与算法的层流模型的两个阶段的肌动蛋白动力学：聚合成细丝被拉回到细胞和补偿G-肌动蛋白漂移向其尖端供应聚合。我们使用果蝇的神经细胞作为一个有效的，遗传上顺从的生物系统，以产生实验数据作为抽象模型及其验证的基础。
Actin and microtubules are components of the cytoskeleton, and are key mediators of neuron growth and maintenance. Knowing how they are regulated enhances our understanding of neural development, ageing, degeneration, and regeneration. However, biological investigation alone will not unravel the complex cytoskeletal machinery. We expect that inquiries about the cytoskeleton can be significantly enhanced if their physico-chemical behavior is concealed and summarized in mathematical and computational models that can be coupled to concepts of biological regulation. Our computational modeling concerns the mechanical aspects associated with the dynamics of relatively simple, finger-like membrane protrusions called filopodia. Here we propose an alternative approach for representing the displacement of molecules and cytoplasmic fluid in the extremely narrow and long filopodia and discuss strategies to couple the particle-in-cell method with algorithms for laminar flow to model the two phases of actin dynamics: polymerization into filaments which are pulled back into the cell and compensatory G-actin drift towards its tip to supply polymerization. We use nerve cells of the fruit flyDrosophilaas an effective, genetically amenable biological system to generate experimental data as the basis for the abstract models and their validation.