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DESCRIPTION (provided by applicant): The lack of reliable descriptions of conformational transitions in proteins represents a critical gap in the body of structural biology knowledge. Not only are conformational transitions at the heart of many proteins' functions --- from enzymes to motor proteins --- but structural intermediates also serve as a well-established class of targets for transition-state inhibitor drugs. We therefore propose a novel computational approach to study the dramatic conformational transitions in (a) calmodulin (CAM), which mediates essential processes from gene expression to muscle contraction to mitosis, and (b) myosin, the protein motor that causes muscle contraction. The new protocol will build on extremely promising preliminary results, which demonstrate unprecedented access to physiological timescales. Combining residue-level modeling and fine-grid discretization, the approach has already proven capable of unbiased dynamic simulation of dozens of conformational transitions in each of the two 72-residue domains of calmodulin. In fact, the protocol generates several transition events per day on an inexpensive, single-processor desktop computer. This high efficiency will enable the study of myosin with modest computer resources. A multi-level approach to modeling is central to this proposal. Results generated from initial "coarse grained" models (e.g., residue-level) will be refined using a series of progressively more accurate force fields. Combined with the high-quality sampling enabled by discretization, multi-level modeling will permit a high degree of confidence in the computational data. Indeed, the simulation results --- including models of structural intermediates and the identities of kinetically critical residues --- will be used to design experiments (to be performed by collaborators) aimed toward improving our detailed understanding of structural events. Because of its speed and simplicity, the new protocol forms an ideal basis for a software tool of value to expert and non-expert alike. A detailed plan for distributing user-friendly software packages is presented, and the source code will be available for modification by expert users.
期刊论文(13)
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DOI: 10.1021/ct100406t
发表时间: 2010-10-09
期刊: JOURNAL OF CHEMICAL THEORY AND COMPUTATION
影响因子: 5.5
作者: [Bhatt, Divesh, Zuckerman, Daniel M.]
通讯作者: Zuckerman, Daniel M.
DOI: 10.1002/jcc.21695
发表时间: 2011-04-30
期刊: JOURNAL OF COMPUTATIONAL CHEMISTRY
影响因子: 3
作者: [Lettieri, Steven, Mamonov, Artem B., Zuckerman, Daniel M.]
通讯作者: Zuckerman, Daniel M.
Thermal motions of the E. coli glucose-galactose binding protein studied using well-sampled, semi-atomistic simulations.
使用充分采样的半原子模拟研究了大肠杆菌葡萄糖-半乳糖结合蛋白的热运动。
DOI: 10.2174/156802611794863607
发表时间: 2011
期刊: Current topics in medicinal chemistry
影响因子: 3.4
作者: [Cashman,DJ, Mamonov,AB, Bhatt,D, Zuckerman,DM]
通讯作者: Zuckerman,DM
DOI: 10.1016/s1574-1400(09)00502-7
发表时间: 2009-01-01
期刊: Annual reports in computational chemistry
影响因子: --
作者: [Grossfield A, Zuckerman DM]
通讯作者: Zuckerman DM
6
    Toward Practical, Rigorous Binding Affinity Calculations
    Toward Practical, Rigorous Binding Affinity Calculations
    Toward Practical, Rigorous Binding Affinity Calculations
    Toward Practical, Rigorous Binding Affinity Calculations
    国内基金
    海外基金
    帽结合蛋白(cap binding protein)调控乙烯信号转导的分子机制
    • 批准号:
      32170319
    • 项目类别:
      面上项目
    • 资助金额:
      58.00万元
    • 批准年份:
      2021
    • 负责人:
      董春海
    • 依托单位:
    帽结合蛋白(cap binding protein)调控乙烯信号转导的分子机制
    • 批准号:
      --
    • 项目类别:
      --
    • 资助金额:
      58万元
    • 批准年份:
      2021
    • 负责人:
      董春海
    • 依托单位:
    ID1 (Inhibitor of DNA binding 1) 在口蹄疫病毒感染中作用机制的研究
    番茄EIN3-binding F-box蛋白2超表达诱导单性结实和果实成熟异常的机制研究
    • 批准号:
      31372080
    • 项目类别:
      面上项目
    • 资助金额:
      80.0万元
    • 批准年份:
      2013
    • 负责人:
      杨迎伍
    • 依托单位: