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Whole-Cell Modeling and Simulation: A Brief Survey
New Generation Computing ( IF 2.0 ) Pub Date : 2019-08-12 , DOI: 10.1007/s00354-019-00066-y
Nayana G. Bhat , S. Balaji

Gaining knowledge and engineering of biological systems require comprehensive models of cellular physiology with 100% predictability. The whole-cell models direct experiments in molecular biological science and empower simulation and computer-aided design in synthetic biology. Whole-cell modeling and simulation help in personalized medical treatment building a biological system through cell interactions. In addition, the whole-cell model can address specific issues such as transcription, regulation, pathways for protein expression and many more. Constructing comprehensive whole-cell models with enough detail and validating them is a massive work. Though considering available parameters and pathways, modeling and simulation of a cell are partially successful, still, there exist a lot of more challenges that need to be tackled. Notwithstanding the immense challenges, whole-cell models are quickly getting to be viable. This paper briefly reviews the cutting edge of existing methods and techniques with their present status and the reason for improvements required in various stages of whole-cell modeling such as (1) collection of data, (2) designing tools and model building, (3) acceleration of simulation speed and (4) visualizing and analyzing.

中文翻译:

全细胞建模和模拟:简要调查

获得生物系统的知识和工程需要具有 100% 可预测性的综合细胞生理学模型。全细胞模型指导分子生物科学中的实验,并为合成生物学中的模拟和计算机辅助设计提供支持。全细胞建模和模拟有助于个性化医疗通过细胞相互作用构建生物系统。此外,全细胞模型可以解决特定问题,例如转录、调控、蛋白质表达途径等等。构建具有足够细节的综合全细胞模型并对其进行验证是一项艰巨的工作。尽管考虑到可用的参数和途径,细胞的建模和模拟取得了部分成功,但仍然存在许多需要解决的挑战。尽管面临巨大挑战,全细胞模型很快变得可行。本文简要回顾了现有方法和技术的前沿及其现状,以及在全细胞建模的各个阶段需要改进的原因,例如 (1) 数据收集,(2) 设计工具和模型构建,(3) ) 仿真速度的加速和 (4) 可视化和分析。
更新日期:2019-08-12
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