Modeling cell population dynamics
Modeling cell population dynamics
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DOI：
10.3233/isb-180470
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发表时间：
2018-01-01
影响因子：
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通讯作者：
Balazsi, Gabor
中科院分区：
文献类型：
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作者：
Charlebois, Daniel A.;Balazsi, Gabor
由于数学模型和计算机模拟能够产生见解并预测生命系统的行为，定量建模正迅速成为生物学的一个组成部分。单细胞模型可能无法或误导推断种群动态，因为它们没有考虑细胞之间通过代谢物或物理接触的相互作用，也没有考虑对有限资源（如营养物质或空间）的竞争。在这里，我们检查常用的方法，以模拟和模拟细胞群。首先，我们将介绍可用解析解的简单模型，然后转到需要计算方法的更复杂的场景。总之，我们总结了用于描述细胞种群动态的数学模型，这可能有助于未来模型的发展，并强调了种群建模在生物学中的重要性。
Quantitative modeling is quickly becoming an integral part of biology, due to the ability of mathematical models and computer simulations to generate insights and predict the behavior of living systems. Single-cell models can be incapable or misleading for inferring population dynamics, as they do not consider the interactions between cells via metabolites or physical contact, nor do they consider competition for limited resources such as nutrients or space. Here we examine methods that are commonly used to model and simulate cell populations. First, we cover simple models where analytic solutions are available, and then move on to more complex scenarios where computational methods are required. Overall, we present a summary of mathematical models used to describe cell population dynamics, which may aid future model development and highlights the importance of population modeling in biology.