Exploiting biological complexity for strain improvement through systems biology

被引:0
|
作者
Gregory Stephanopoulos
Hal Alper
Joel Moxley
机构
[1] Massachusetts Institute of Technology,Department of Chemical Engineering
[2] Room 56-469,undefined
来源
Nature Biotechnology | 2004年 / 22卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Cellular complexity makes it difficult to build a complete understanding of cellular function but also offers innumerable possibilities for modifying the cellular machinery to achieve a specific purpose. The exploitation of cellular complexity for strain improvement has been a challenging goal for applied biological research because it requires the coordinated understanding of multiple cellular processes. It is therefore pursued most efficiently in the framework of systems biology. Progress in strain improvement will depend not only on advances in technologies for high-throughput measurements but, more importantly, on the development of theoretical methods that increase the information content of these measurements and, as such, facilitate the elucidation of mechanisms and the identification of genetic targets for modification.
引用
收藏
页码:1261 / 1267
页数:6
相关论文
共 50 条
  • [41] Molecular biology and evolution -: Can genes explain biological complexity?
    Szathmáry, E
    Jordán, F
    Pál, C
    [J]. SCIENCE, 2001, 292 (5520) : 1315 - 1316
  • [42] Toxicity of silver nanoparticles in biological systems: Does the complexity of biological systems matter?
    Vazquez-Munoz, Roberto
    Borrego, Belen
    Juarez-Moreno, Karla
    Garcia-Garcia, Maritza
    Mota Morales, Josue D.
    Bogdanchikova, Nina
    Huerta-Saquero, Alejandro
    [J]. TOXICOLOGY LETTERS, 2017, 276 : 11 - 20
  • [43] Toxicity of silver nanoparticles in biological systems: Does the complexity of biological systems matter?
    Vazquez-Munoz, R.
    Borrego, B.
    Juarez-Moreno, K. O.
    Garcia-Garcia, M.
    Mota-Morales, J.
    Bogdanchikova, N.
    Huerta-Saquero, A.
    [J]. TOXICOLOGY LETTERS, 2016, 259 : S190 - S191
  • [44] Taming the Beast of Biology: Synthetic Biology and Biological Systems Engineering
    Panke, Sven
    [J]. CHIMIA, 2020, 74 (05) : 402 - 406
  • [45] Exploiting semantic networks of public data for systems chemical biology
    Wild, David J.
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2012, 243
  • [46] Simulating biological complexity through artificial evolution
    Yao, Yao
    Van de Peer, Yves
    [J]. 2017 3RD IEEE INTERNATIONAL CONFERENCE ON CYBERNETICS (CYBCONF), 2017, : 101 - 108
  • [47] Exploiting protein structure data to explore the evolution of protein function and biological complexity
    Marsden, RL
    Ranea, JAG
    Sillero, A
    Redfern, O
    Yeats, C
    Maibaum, M
    Lee, D
    Addou, S
    Reeves, GA
    Dallman, TJ
    Orengo, CA
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2006, 361 (1467) : 425 - 440
  • [48] Exploiting the genetic diversity of Beauveria bassiana for improving the biological control of the coffee berry borer through the use of strain mixtures
    Cruz, Lina P.
    Gaitan, Alvaro L.
    Gongora, Carmenza E.
    [J]. APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2006, 71 (06) : 918 - 926
  • [49] Exploiting the genetic diversity of Beauveria bassiana for improving the biological control of the coffee berry borer through the use of strain mixtures
    Lina P. Cruz
    Alvaro L. Gaitan
    Carmenza E. Gongora
    [J]. Applied Microbiology and Biotechnology, 2006, 71 : 918 - 926
  • [50] Understanding Biological Regulation Through Synthetic Biology
    Bashor, Caleb J.
    Collins, James J.
    [J]. ANNUAL REVIEW OF BIOPHYSICS, VOL 47, 2018, 47 : 399 - 423