• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Cells >Systems Biology as an Integrated Platform for Bioinformatics, Systems Synthetic Biology, and Systems Metabolic Engineering
【24h】

Systems Biology as an Integrated Platform for Bioinformatics, Systems Synthetic Biology, and Systems Metabolic Engineering

机译：系统生物学作为生物信息学，系统合成生物学和系统代谢工程的集成平台

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Systems biology aims at achieving a system-level understanding of living organisms and applying this knowledge to various fields such as synthetic biology, metabolic engineering, and medicine. System-level understanding of living organisms can be derived from insight into: (i) system structure and the mechanism of biological networks such as gene regulation, protein interactions, signaling, and metabolic pathways; (ii) system dynamics of biological networks, which provides an understanding of stability, robustness, and transduction ability through system identification, and through system analysis methods; (iii) system control methods at different levels of biological networks, which provide an understanding of systematic mechanisms to robustly control system states, minimize malfunctions, and provide potential therapeutic targets in disease treatment; (iv) systematic design methods for the modification and construction of biological networks with desired behaviors, which provide system design principles and system simulations for synthetic biology designs and systems metabolic engineering. This review describes current developments in systems biology, systems synthetic biology, and systems metabolic engineering for engineering and biology researchers. We also discuss challenges and future prospects for systems biology and the concept of systems biology as an integrated platform for bioinformatics, systems synthetic biology, and systems metabolic engineering.
机译：系统生物学旨在实现对生物体的系统级理解，并将这一知识应用于合成生物学，代谢工程和医学等各个领域。从以下方面的洞察可以得出对生物体的系统级理解：（i）系统结构和生物网络的机制，例如基因调控，蛋白质相互作用，信号传导和代谢途径; （ii）生物网络的系统动力学，它通过系统识别和系统分析方法提供对稳定性，鲁棒性和转导能力的理解; （iii）在生物网络的不同级别上的系统控制方法，这些方法可提供对系统机制的理解，以稳健地控制系统状态，最大程度地减少故障并提供疾病治疗中的潜在治疗目标; （iv）用于修改和构建具有所需行为的生物网络的系统设计方法，可为合成生物学设计和系统代谢工程提供系统设计原理和系统模拟。这篇综述描述了工程生物学和生物学研究人员在系统生物学，系统合成生物学和系统代谢工程方面的最新发展。我们还将讨论系统生物学的挑战和未来前景，以及系统生物学作为生物信息学，系统合成生物学和系统代谢工程的集成平台的概念。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：[email protected]

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

OSZAR »