• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

系统生物学在生物化学中的应用及趋势。

Applications and trends in systems biology in biochemistry.

机构信息

Department of Modeling of Biological Processes, COS Heidelberg/BioQuant, University of Heidelberg, Germany.

出版信息

FEBS J. 2011 Aug;278(16):2767-857. doi: 10.1111/j.1742-4658.2011.08217.x. Epub 2011 Jul 26.

DOI:10.1111/j.1742-4658.2011.08217.x
PMID:21707921
Abstract

Systems biology has received an ever increasing interest during the last decade. A large amount of third-party funding is spent on this topic, which involves quantitative experimentation integrated with computational modeling. Industrial companies are also starting to use this approach more and more often, especially in pharmaceutical research and biotechnology. This leads to the question of whether such interest is wisely invested and whether there are success stories to be told for basic science and/or technology/biomedicine. In this review, we focus on the application of systems biology approaches that have been employed to shed light on both biochemical functions and previously unknown mechanisms. We point out which computational and experimental methods are employed most frequently and which trends in systems biology research can be observed. Finally, we discuss some problems that we have encountered in publications in the field.

摘要

系统生物学在过去十年中受到了越来越多的关注。大量的第三方资金用于这个涉及定量实验与计算建模相结合的课题。工业公司也开始越来越多地采用这种方法,尤其是在制药研究和生物技术领域。这就引出了一个问题,即这种关注是否明智地投资,以及是否有基础科学和/或技术/生物医学方面的成功故事可以讲述。在这篇综述中,我们专注于系统生物学方法的应用,这些方法被用来阐明生化功能和以前未知的机制。我们指出了最常使用的计算和实验方法,以及可以观察到的系统生物学研究趋势。最后,我们讨论了我们在该领域的出版物中遇到的一些问题。

相似文献

1
Applications and trends in systems biology in biochemistry.系统生物学在生物化学中的应用及趋势。
FEBS J. 2011 Aug;278(16):2767-857. doi: 10.1111/j.1742-4658.2011.08217.x. Epub 2011 Jul 26.
2
Towards quantitative biology: integration of biological information to elucidate disease pathways and to guide drug discovery.走向定量生物学:整合生物信息以阐明疾病途径并指导药物发现。
Biotechnol Annu Rev. 2005;11:1-68. doi: 10.1016/S1387-2656(05)11001-1.
3
SysBioMed report: advancing systems biology for medical applications.系统生物医学报告:推动系统生物学在医学应用中的发展。
IET Syst Biol. 2009 May;3(3):131-6. doi: 10.1049/iet-syb.2009.0005.
4
Toward computational systems biology.迈向计算系统生物学。
Cell Biochem Biophys. 2004;40(2):167-84. doi: 10.1385/CBB:40:2:167.
5
A perspective of synthetic biology: assembling building blocks for novel functions.合成生物学的一个视角:为新功能组装构建模块。
Biotechnol J. 2006 Jun;1(6):690-9. doi: 10.1002/biot.200600019.
6
Post-genomic science: cross-disciplinary and large-scale collaborative research and its organizational and technological challenges for the scientific research process.后基因组科学:跨学科与大规模合作研究及其在科研过程中的组织和技术挑战
Philos Trans A Math Phys Eng Sci. 2006 Jun 15;364(1843):1533-49. doi: 10.1098/rsta.2006.1785.
7
Mathematical modeling and analysis in biochemical engineering: past accomplishments and future opportunities.
Biotechnol Prog. 1998 Jan-Feb;14(1):8-20. doi: 10.1021/bp9701269.
8
Synthetic biology: navigating the challenges ahead.合成生物学:应对未来挑战
J Biolaw Bus. 2005;8(2):19-29.
9
Wine biotechnology in South Africa: towards a systems approach to wine science.南非的葡萄酒生物技术:迈向葡萄酒科学的系统方法。
Biotechnol J. 2008 Nov;3(11):1355-67. doi: 10.1002/biot.200800145.
10
Focus on chemical systems biology. In this issue.聚焦于化学系统生物学。在本期。
Nat Chem Biol. 2008 Nov;4(11):v. doi: 10.1038/nchembio1108-v.

引用本文的文献

1
A Fermentation State Marker Rule Design Task in Metabolic Engineering.代谢工程中的发酵状态标记规则设计任务
Bioengineering (Basel). 2023 Dec 15;10(12):1427. doi: 10.3390/bioengineering10121427.
2
Reproducibility and FAIR principles: the case of a segment polarity network model.可重复性与FAIR原则:以一个体节极性网络模型为例
Front Cell Dev Biol. 2023 Jun 6;11:1201673. doi: 10.3389/fcell.2023.1201673. eCollection 2023.
3
A comprehensive mechanistic model of adipocyte signaling with layers of confidence.具有置信层的脂肪细胞信号传导的综合机制模型。
NPJ Syst Biol Appl. 2023 Jun 7;9(1):24. doi: 10.1038/s41540-023-00282-9.
4
Reproducibility and FAIR Principles: The Case of a Segment Polarity Network Model.可重复性与FAIR原则:以一个体节极性网络模型为例
ArXiv. 2023 Apr 18:arXiv:2304.08688v1.
5
Computational modeling and quantitative physiology reveal central parameters for brassinosteroid-regulated early cell physiological processes linked to elongation growth of the root.计算建模和定量生理学揭示了与根伸长生长相关的油菜素内酯调节的早期细胞生理过程的核心参数。
Elife. 2022 Sep 7;11:e73031. doi: 10.7554/eLife.73031.
6
Impact of explicit area scaling on kinetic models involving multiple compartments.显式区域比例对涉及多个隔室的动力学模型的影响。
BMC Bioinformatics. 2021 Jan 11;22(1):21. doi: 10.1186/s12859-020-03913-8.
7
The Construction of Biological 'Inter-Identity' as the Outcome of a Complex Process of Protocell Development in Prebiotic Evolution.生物“身份间性”的构建作为前生物进化中原细胞复杂发育过程的结果
Front Physiol. 2020 May 26;11:530. doi: 10.3389/fphys.2020.00530. eCollection 2020.
8
Computational systems biology of cellular processes in Arabidopsis thaliana: an overview.拟南芥细胞过程的计算系统生物学:概述。
Cell Mol Life Sci. 2020 Feb;77(3):433-440. doi: 10.1007/s00018-019-03379-9. Epub 2019 Nov 25.
9
Reproducible Research Using Biomodels.生物模型的可重复性研究。
Bull Math Biol. 2018 Dec;80(12):3081-3087. doi: 10.1007/s11538-018-0498-z. Epub 2018 Sep 6.
10
COPASI and its applications in biotechnology.COPASI 及其在生物技术中的应用。
J Biotechnol. 2017 Nov 10;261:215-220. doi: 10.1016/j.jbiotec.2017.06.1200. Epub 2017 Jun 24.