首页> 外文期刊>IEEE Design & Test of Computers Magazine >Design Automation for Synthetic Biological Systems
【24h】

Design Automation for Synthetic Biological Systems

机译:合成生物系统的设计自动化

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

SYNTHETIC BIOLOGY ENCOMPASSES the synthesis or enhancement of complex biological systems to elicit behaviors that do not exist in nature. Synthetic biology promises to introduce new biotherapeutic, bioremediation, biosensing, bioenergy, and biomaterials based solutions to a diverse set of grand challenges. Progress in designing novel biological systems has been hindered primarily by the complexity of biology. Living systems perform a variety of functions including self-replication, cell-to-cell communication, cell division and differentiation into a more specialized collections of cells. In contrast to human-engineered systems, much of the underlying science of biology is still largely a mystery. Every organism is unique and studied under very specific environmental conditions. Extraordinary efforts spanning multiple hierarchical levels are needed to completely characterize and understand every component and reaction in the context of the whole. Despite knowledge gaps, experimentalist utilize their instincts and experiences to engineer biological systems, often through trial and error, and more recently with some assistance from computational tools. Recent achievements include engineered bacteria to treat malaria 1, to invade cancer cells 2, to remove toxins such as herbicides from the environment 3, to produce biofuels such as ethanol and butanol 4, and to develop highly tuned biological sensors 5.
机译:合成生物学包括合成或增强复杂的生物系统,以引发自然界中不存在的行为。合成生物学有望引入新的生物治疗、生物修复、生物传感、生物能源和基于生物材料的解决方案,以应对各种重大挑战。设计新型生物系统的进展主要受到生物学复杂性的阻碍。生命系统执行多种功能,包括自我复制、细胞间通讯、细胞分裂和分化成更专门的细胞集合。与人类工程系统相比,生物学的许多基础科学在很大程度上仍然是一个谜。每个生物体都是独一无二的,并在非常特定的环境条件下进行研究。需要跨越多个层次的非凡努力,才能在整体的背景下完全描述和理解每个组成部分和反应。尽管存在知识差距,但实验主义者利用他们的直觉和经验来设计生物系统,通常是通过反复试验,最近是在计算工具的帮助下。最近的成就包括工程细菌治疗疟疾[1]、侵入癌细胞[2]、从环境中去除除草剂等毒素[3]、生产乙醇和丁醇等生物燃料[4],以及开发高度调谐的生物传感器[5]。

著录项

  • 来源
    《IEEE Design & Test of Computers Magazine》 |2012年第3期|7-20|共14页
  • 作者

    Douglas Densmore; Soha Hassoun;

  • 作者单位

    Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215;

    Tufts University in the Department of Computer Science and Electrical and Computer Engineering;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类 计量学;
  • 关键词

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号