脂质体的逻辑

James Smaldon, N. Krasnogor, C. Alexander, M. Gheorghe
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引用次数: 5

摘要

超大规模集成电路的研究,在不断推动进一步小型化的过程中,正在寻求突破当前电路制造技术的限制,向依赖于自组装、自组织和进化过程的仿生方法发展。另一方面,系统生物学和合成生物学对更详细(多)细胞模型的追求越来越依赖于来自计算机科学和工程的概念,如使用逻辑门、时钟和脉冲发生器类似物来描述细胞的决策行为。本文就处在这两个企业的十字路口。也就是说,一种基于脂质体内简单基因调控类网络封装的非常规计算新方法被描述。使用NVIDIA CUDA框架创建的耗散粒子动力学(DPD)实现,将三个转录布尔逻辑门封装并模拟在由DMPC(二myristoyl磷脂酰胆碱)两亲体自组装的脂质体中,并修改为包括随机环境中的简单碰撞化学。与门、或门和非门的响应时间被证明受到脂质体内体积的包封的积极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Liposome logic
VLSI research, in its continuous push toward further miniaturisation, is seeking to break through the limitations of current circuit manufacture techniques by moving towards biomimetic methodologies that rely on self-assembly, selforganisation and evodevo-like processes. On the other hand, Systems and Synthetic biology's quest to achieve ever more detailed (multi)cell models are relying more and more on concepts derived from computer science and engineering such as the use of logic gates, clocks and pulse generator analogs to describe a cell's decision making behavior. This paper is situated at the crossroad of these two enterprises. That is, a novel method of non-conventional computation based on the encapsulation of simple gene regulatory-like networks within liposomes is described. Three transcription Boolean logic gates were encapsulated and simulated within liposomes self-assembled from DMPC (dimyristoylphosphatidylcholine) amphiphiles using an implementation of Dissipative Particle Dynamics (DPD) created with the NVIDIA CUDA framework, and modified to include a simple collision chemistry in a stochastic environment. The response times of the AND, OR and NOT gates were shown to be positively effected by the encapsulation within the liposome inner volume.
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