Nature's Rotary Molecular Dynamos: A Systematic Modeling Framework
Nature's Rotary Molecular Dynamos: A Systematic Modeling Framework
批准号:
1715823
负责人:
Daniel Zuckerman
金额:
$75.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2022-06-30
中文摘要
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英文摘要
The workings of every biological cell are carried out by "molecular machines" made up of proteins, RNA or combinations of these. This project will investigate how such machines function using physics-based computational methods. The project's focus will be the "rotary ATPases", which can convert one type of chemical energy into another - from a transmembrane pH difference into ATP, the well-known "molecular fuel" of the cell. The project will develop mathematical models of the machines in order to: (i) understand the biophysics of how these machines function (and malfunction) over a wide range of conditions encountered by the cell; and (ii) develop more powerful modeling approaches that are transferable to the study of other machines. The project will also continue development of an online textbook covering the biophysics of the cell's molecular machines.The work will enhance physics-based strategies for modeling molecular machines. Novel elements include systematic exploration of alternative mechanisms, evolution-motivated constrained optimization in place of parameter fitting, examination of reversibility, and consideration of a wide range of conditions and stoichiometries. Biologically, the work can provide optimal and limiting ranges for many uncertain parameters, and explicitly disentangle adaptations in the wide range of species-specific stoichiometries and organelle-specific directionality (synthesis vs. pumping). The consideration of alternative and hypothetical mechanisms could also contribute to understanding the evolutionary history of ATP synthesis, prior to the advent of the rotary synthase, as well as aiding the study of other families of molecular machines. The project will also lead to further development of a free online cell biophysics book (PhysicalLensOnTheCell.org), expanding the topics covered and adding interactive numerical models, based in part on the research to be performed.
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DOI:
10.1371/journal.pcbi.1007789
发表时间:
2020-07-01
期刊:
PLOS COMPUTATIONAL BIOLOGY
影响因子:
4.3
作者:
[Bisignano, Paola, Lee, Michael A., Rosenberg, John M.]
通讯作者:
Rosenberg, John M.
DOI:
10.1016/j.bpj.2020.09.021
发表时间:
2020
期刊:
Biophysical Journal
影响因子:
3.4
作者:
[Spiriti, Justin, Conway, James F., Zuckerman, Daniel M.]
通讯作者:
Zuckerman, Daniel M.
DOI:
10.7554/elife.46393
发表时间:
2019-11-01
期刊:
ELIFE
影响因子:
7.7
作者:
[Lee, Yerim, Phelps, Carey, Nan, Xiaolin]
通讯作者:
Nan, Xiaolin
DOI:
10.1113/jp281339
发表时间:
2021-07
期刊:
The Journal of physiology
影响因子:
--
作者:
[Yue B, Haddad BG, Khan U, Chen H, Atalla M, Zhang Z, Zuckerman DM, Reichow SL, Bai D]
通讯作者:
Bai D
Key biology you should have learned in physics class: Using ideal-gas mixtures to understand biomolecular machines
您应该在物理课上学习的关键生物学:使用理想气体混合物来理解生物分子机器
DOI:
10.1119/10.0000634
发表时间:
2020
期刊:
American Journal of Physics
影响因子:
0.9
作者:
[Zuckerman, Daniel M.]
通讯作者:
Zuckerman, Daniel M.
共 7 条
Quantitative Exploration of Molecular Machine Mechanisms
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批准号:2119837
-
项目类别:Standard Grant
-
资助金额:$88.59万
-
财政年份:2021
-
负责人:Daniel Zuckerman
-
依托单位:
Complementary Methods for Equilibrium Sampling of Biomolecules
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批准号:1701846
-
项目类别:Continuing Grant
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资助金额:$9.84万
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财政年份:2016
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负责人:Daniel Zuckerman
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依托单位:
Complementary Methods for Equilibrium Sampling of Biomolecules
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批准号:1119091
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项目类别:Continuing Grant
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资助金额:$108.39万
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财政年份:2012
-
负责人:Daniel Zuckerman
-
依托单位:
CAREER: Toward Boltzmann-Weighted Protein Ensembles Using Novel Computations
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批准号:0643456
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项目类别:Continuing Grant
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资助金额:$82.57万
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财政年份:2007
-
负责人:Daniel Zuckerman
-
依托单位:
海外基金