Hardware, Software, and Wetware Codesign Environment for Synthetic Biology.

Q2 Agricultural and Biological Sciences
生物设计研究(英文) Pub Date : 2022-09-01 eCollection Date: 2022-01-01 DOI:10.34133/2022/9794510
Samuel M D Oliveira, Douglas Densmore
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引用次数: 2

Abstract

Synthetic biology is the process of forward engineering living systems. These systems can be used to produce biobased materials, agriculture, medicine, and energy. One approach to designing these systems is to employ techniques from the design of embedded electronics. These techniques include abstraction, standards, modularity, automated design, and formal semantic models of computation. Together, these elements form the foundation of "biodesign automation," where software, robotics, and microfluidic devices combine to create exciting biological systems of the future. This paper describes a "hardware, software, wetware" codesign vision where software tools can be made to act as "genetic compilers" that transform high-level specifications into engineered "genetic circuits" (wetware). This is followed by a process where automation equipment, well-defined experimental workflows, and microfluidic devices are explicitly designed to house, execute, and test these circuits (hardware). These systems can be used as either massively parallel experimental platforms or distributed bioremediation and biosensing devices. Next, scheduling and control algorithms (software) manage these systems' actual execution and data analysis tasks. A distinguishing feature of this approach is how all three of these aspects (hardware, software, and wetware) may be derived from the same basic specification in parallel and generated to fulfill specific cost, performance, and structural requirements.

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合成生物学的硬件、软件和软件代码设计环境。
合成生物学是对生命系统进行正向工程的过程。这些系统可用于生产生物基材料、农业、医药和能源。设计这些系统的一种方法是采用来自嵌入式电子器件设计的技术。这些技术包括抽象、标准、模块化、自动化设计和计算的形式语义模型。这些元素共同构成了“生物设计自动化”的基础,软件、机器人和微流体设备结合在一起,创造出令人兴奋的未来生物系统。本文描述了一个“硬件、软件、软件”的代码设计愿景,其中软件工具可以充当“遗传编译器”,将高级规范转换为工程“遗传电路”(软件)。接下来是一个过程,其中自动化设备、定义明确的实验工作流程和微流体设备被明确设计为容纳、执行和测试这些电路(硬件)。这些系统既可以用作大规模并行实验平台,也可以用作分布式生物修复和生物传感设备。接下来,调度和控制算法(软件)管理这些系统的实际执行和数据分析任务。这种方法的一个显著特点是,所有这三个方面(硬件、软件和湿件)可以从相同的基本规范中并行导出,并生成以满足特定的成本、性能和结构要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.90
自引率
0.00%
发文量
0
审稿时长
12 weeks
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