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New Algorithms for Large Time-Step Molecular Dynamics Simulations and their Application to Protein and Nucleic Acids

New Algorithms for Large Time-Step Molecular Dynamics Simulations and their Application to Protein and Nucleic Acids
大时间步长分子动力学模拟的新算法及其在蛋白质和核酸中的应用
批准号:
9310295
负责人:
Tamar Schlick
金额:
$4.62万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1993
资助国家:
美国
项目状态:
已结题
起止时间:
1993-09-01 至 1996-02-29

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中文摘要
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英文摘要
9310295 Schlick The goal in this proposal is to extend this work further so that is can be applied routinely to protein and nucleic acids. We propose to develop and implement a new algorithm that combines implicit-integration and normal-mode techniques. The new algorithm will maintain the large time-step stability inherited in the implicit scheme, but also resolve the high-frequency components of the motion so that the activities of high-frequency modes can be retained. With parallel implementations on state-of-the-art machines, this will make possible simulations at time-steps of order 100 femtoseconds; the total simulation time will then approach the millisecond range.
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MFB: RNA modifications of frameshifting stimulators: cellular platforms to engineer gene expression by computational mutation predictions and functional experiments
  • 批准号:
    2330628
  • 项目类别:
    Standard Grant
  • 资助金额:
    $150.0万
  • 财政年份:
    2024
  • 负责人:
    Tamar Schlick
  • 依托单位:
Collaborative Research: Unraveling Structural and Mechanistic Aspects of RNA Viral Frameshifting Elements by Graph Theory and Molecular Modeling
  • 批准号:
    2151777
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $51.0万
  • 财政年份:
    2022
  • 负责人:
    Tamar Schlick
  • 依托单位:
RAPID: Exploring Covid-19 RNA Viral Targets By Graph-Theory-Based Modeling
  • 批准号:
    2030377
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2020
  • 负责人:
    Tamar Schlick
  • 依托单位:
Workshop Proposal: IMAG Futures Meeting
  • 批准号:
    1008193
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.0万
  • 财政年份:
    2009
  • 负责人:
    Tamar Schlick
  • 依托单位:
海外基金