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Stochastic simulations of minimal self-reproducing cellular systems

机译:最小自我复制细胞系统的随机模拟

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摘要

This paper is a theoretical attempt to gain insight into the problem of how self-assembling vesicles (closed bilayer structures) could progressively turn into minimal self-producing and self-reproducing cells, i.e. into interesting candidates for (proto)biological systems. With this aim, we make use of a recently developed object-oriented platform to carry out stochastic simulations of chemical reaction networks that take place in dynamic cellular compartments. We apply this new tool to study the behaviour of different minimal cell models, making realistic assumptions about the physico-chemical processes and conditions involved (e.g. thermodynamic equilibriumon-equilibrium, variable volume-to-surface relationship, osmotic pressure, solute diffusion across the membrane due to concentration gradients, buffering effect). The new programming platform has been designed to analyse not only how a single protometabolic cell could maintain itself, grow or divide, but also how a collection of these cells could ‘evolve’ as a result of their mutual interactions in a common environment.
机译:本文是一项理论上的尝试,旨在深入了解自组装囊泡(封闭的双层结构)如何逐步转变为最小的自生和自生细胞,即成为(原始)生物系统的有趣候选物的问题。为此,我们利用最近开发的面向对象的平台对在动态细胞隔室内发生的化学反应网络进行随机模拟。我们使用这一新工具研究不同最小细胞模型的行为,对所涉及的物理化学过程和条件(例如热力学平衡/非平衡,体积与表面的关系可变,渗透压,溶质扩散)进行了现实的假设。膜(由于浓度梯度,缓冲作用)。新的编程平台旨在不仅分析单个新陈代谢细胞如何维持自身,生长或分裂,还分析这些细胞的集合由于它们在共同环境中的相互作用而如何“进化”。

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