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Determination of molecular force field parameters for investigation of solubilizers, based on the Kirkwood-Buff theory

Research Project

Project/Area Number 17K12775
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Life / Health / Medical informatics
Research InstitutionInstitute of Physical and Chemical Research

Principal Investigator

Chiba Shuntaro  国立研究開発法人理化学研究所, 科技ハブ産連本部, 研究員 (50708469)

Project Period (FY) 2017-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2018: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2017: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Keywords粗視化 / 分子力場 / 分極力場 / 粗視化力場 / エネルギー表示 / 分子シミュレーション / Kirkwood-Buff理論 / Newton Inversion / molecular dynamics / 可溶化剤
Outline of Final Research Achievements

The mechanism underlying the class of molecules that solubilize a target molecule with low solubility remains elusive. Molecular simulations can be employed to obtain details at the atomic level. The aim of this study is to develop a parameter-determination method for simulation studies that can reproduce liquid structures accurately. This method enables the construction of parameters using information derived from fine-grained simulations. For example, fixed-point charges of a target molecule necessary for low computational cost simulation could be built from accurate, but time-consuming simulations using polarizable charge parameters. As the method is based on a systematic framework, it could provide a novel strategy for coarse-graining the existing various fine-grained parameters.

Academic Significance and Societal Importance of the Research Achievements

本研究は、分子間相互作用エネルギーの分布関数が分子間ポテンシャルと一対一対応するという性質に着目した。この分布関数を分子力場構築のために利用するという初めての試みは、既存の構築手法を上回る性能を実証するという学術的に興味深い結果を導き出した。さらに、本研究の枠組みによれば、分子力場パラメータを系統的(自動的)に決定できる。この性質は、コンピュータハードウェアの進化に伴って、多様な分子の広いタイムスケールの現象を分子シミュレーションによって調べる需要が高まってきているいま、役に立つと考えられる。

Report

(4 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • 2017 Research-status Report
  • Research Products

    (8 results)

All 2020 2019 2018 Other

All Journal Article (2 results) (of which Peer Reviewed: 2 results,  Open Access: 2 results) Presentation (3 results) (of which Int'l Joint Research: 1 results,  Invited: 1 results) Remarks (3 results)

  • [Journal Article] Stabilization Mechanism for a Nonfibrillar Amyloid β Oligomer Based on Formation of a Hydrophobic Core Determined by Dissipative Particle Dynamics2020

    • Author(s)
      Kawai Ryoko、Chiba Shuntaro、Okuwaki Koji、Kanada Ryo、Doi Hideo、Ono Masahiro、Mochizuki Yuji、Okuno Yasushi
    • Journal Title

      ACS Chemical Neuroscience

      Volume: 11 Issue: 3 Pages: 385-394

    • DOI

      10.1021/acschemneuro.9b00602

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Force‐field parametrization based on radial and energy distribution functions2019

    • Author(s)
      Chiba Shuntaro、Okuno Yasushi、Honma Teruki、Ikeguchi Mitsunori
    • Journal Title

      Journal of Computational Chemistry

      Volume: 40 Issue: 29 Pages: 2577-2585

    • DOI

      10.1002/jcc.26035

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] KBI derived from MD simulations using a polarizable force field2019

    • Author(s)
      Shuntaro Chiba
    • Organizer
      International Workshop on Kirkwood-Buff theory and applications
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] 動径分布関数・エネルギー分布関数をもとにした粗視化力場パラメータ決定手法の改良2019

    • Author(s)
      千葉峻太朗、池口満徳、本間光貴、奥野恭史
    • Organizer
      第33回分子シミュレーション討論会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 動径分布関数・エネルギー分布関数をもとにした進化戦略による力場パラメータ決定手法2018

    • Author(s)
      千葉峻太朗、池口満徳、奥野恭史
    • Organizer
      第32 回分子シミュレーション討論会
    • Related Report
      2018 Research-status Report
  • [Remarks] スーパーコンピュータHokusaiシステム2017年度利用報告書

    • URL

      http://i.riken.jp/download/Q17367.pdf

    • Related Report
      2019 Annual Research Report
  • [Remarks] スーパーコンピュータHokusaiシステム2018年度利用報告書

    • URL

      http://i.riken.jp/download/Q18367.pdf

    • Related Report
      2019 Annual Research Report
  • [Remarks] スーパーコンピュータHokusaiシステム2019年度利用報告書

    • URL

      http://i.riken.jp/download/Q19367.pdf

    • Related Report
      2019 Annual Research Report

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Published: 2017-04-28   Modified: 2021-02-19  

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