MOSES - MicroOrganism Systems Biology: Energy and Saccharomyces cerevisiae-Kell
MOSES - MicroOrganism Systems Biology: Energy and Saccharomyces cerevisiae-Kell
批准号:
BB/F003501/1
负责人:
Pedro Mendes
金额:
$40.0万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2007
资助国家:
英国
项目状态:
已结题
起止时间:
2007 至 --
中文摘要
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英文摘要
To complement existing top-down and bottom-up SB strategies, here a domino, problem oriented SB approach is developed, which follows the lines of regulation, pertinent to a selected highly connected molecule property. The selected property is ATP ('energy'). The approach is developed in the most suitable, well-defined, industrially most relevant organism, baker's yeast. The MOSES program connects yeast Systems Biology nuclei in SYSMO countries and is associated with the Yeast Systems Biology Network and HepatoSys. It will be open to new groups. Yeast helps us produce bread, wine and beer. It is also one of the fastest growing organisms: When provided with an excess of food it utilizes this as quickly as it can. Under such conditions of 'feast', the organism uses the energy very inefficiently. Under conditions of 'famine' yeast changes its strategy. It reduces the rate at which it grows and produces alcohol, tries to switch to producing carbon dioxide (the greenhouse gas) only. It then resumes growth but much more efficiently and more slowly. All of this involves subtle regulation of many processes at the same time. It was previously thought that regulation of this type is achieved by single 'key' molecules that would either be in an 'on' state or in an 'off' state. Recently, it has become clear that in living organisms, regulation tends to involve networks of many molecules. This makes biological regulation much more difficult to understand and may be one reason why the sciences still have a hard time to find effective treatments for the complex diseases that plague us, such as cancer, diabetes and arthritis. A new type of science is being developed that focuses on this network aspect of living organisms. It is called 'Systems Biology'. Until now most Systems Biology has either begun by looking at all of the many, many molecules of living organisms at the same time, or by looking at just a very few of them. The former approach tends to be so complex that it leads to confusion more than understanding. The latter may lead to understanding that may not be relevant to the living organism as a whole. Here we propose to develop a new type of Systems Biology, called domino systems biology. It begins by assessing what are the strongest regulatory routes and molecules in the network and then studies these first. It then has a mechanism to move to the next important regulatory routes and molecules, etc. The energy state of the cell may be read from the intracellular concentration of the molecule ATP. This molecules ATP is known to provide many important intracellular processes with the energy they require. We here propose to develop domino systems biology for yeast starting with the regulatory routes that involve ATP. The project is a collaboration between the most appropriate groups of five European countries. It is likely to result in understanding of how yeast can be made to do the things it does for us more efficiently. The domino systems biology developed should be an invaluable tool also for the analysis of diseased cells and the discovery of better drug targets.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
Systematic integration of experimental data and models in systems biology.
实验数据和系统生物学模型的系统整合。
DOI:
10.1186/1471-2105-11-582
发表时间:
2010-11-29
期刊:
BMC bioinformatics
影响因子:
3
作者:
[Li P, Dada JO, Jameson D, Spasic I, Swainston N, Carroll K, Dunn W, Khan F, Malys N, Messiha HL, Simeonidis E, Weichart D, Winder C, Wishart J, Broomhead DS, Goble CA, Gaskell SJ, Kell DB, Westerhoff HV, Mendes P, Paton NW]
通讯作者:
Paton NW
Towards a full quantitative description of yeast metabolism a systematic approach for estimating the kinetic parameters of isoenzymes under in vivo like conditions.
为了对酵母代谢进行全面定量描述,一种在体内类似条件下估计同工酶动力学参数的系统方法。
DOI:
10.1016/b978-0-12-385118-5.00012-8
发表时间:
2011
期刊:
Methods in enzymology
影响因子:
--
作者:
[Messiha HL]
通讯作者:
Messiha HL
Hackathon on Resources for Modelling in Biology 2014 (HARMONY 2014)
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批准号:BB/L026325/1
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项目类别:Research Grant
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资助金额:$1.16万
-
财政年份:2014
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负责人:Pedro Mendes
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依托单位:
COPASI - Open source software for advanced biochemical network modelling
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批准号:BB/J019259/1
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项目类别:Research Grant
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资助金额:$80.06万
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财政年份:2012
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负责人:Pedro Mendes
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依托单位:
QSB: Reverse Engineering of Biochemical Networks from Whole-Genome Dynamics
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批准号:0120306
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2001
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负责人:Pedro Mendes
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依托单位:
An Integrated Approach to Funtional Genomics and Bioinformatics in a Model Legume
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批准号:0109732
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项目类别:Continuing Grant
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资助金额:$358.74万
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财政年份:2001
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负责人:Pedro Mendes
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依托单位:
海外基金