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Atomistic mechanism of the oligomerization of p53 protein in DNA scanning

Research Project

Project/Area Number 19K23721
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeMulti-year Fund
Review Section 0701:Biology at molecular to cellular levels, and related fields
Research InstitutionTokyo Institute of Technology

Principal Investigator

TRAN PHUOC DUY  東京工業大学, 生命理工学院, 助教 (50848546)

Project Period (FY) 2019-08-30 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Keywordsa/dPaCS-MD / p53 / IDP / docking / koff / p53 protein / A2a receptor / eePaCS-MD / PaCS-MD / kinetic rate calculation / association simulation / dissociation simulation / DNA scanning / MD simulation / Markov State Model
Outline of Research at the Start

The oligomerization of p53 with itself (homo-) and other proteins (hetero-) determines whether it trigger the biological process or not. Specifically, we focus on three questions related to the oligomerization of p53 whether the oligomerization taking place on DNA from p53 monomers or not; whether the hetero-oligomer of p53 can still scanning the DNA; and is the DNA scanning style of p53 “spider-walk-on-the-roop” or “sliding-on-the-track”?

Outline of Final Research Achievements

We developed the method to investigate the association and dissociation pathway of intrinsically disordered region of protein (IDR) to the targeted protein, and apply this method to p53 target. We find the detailed atomic mechanism of association and dissociation pathway through multiple states in which the IDR first perform the conformational selection to find the correct binding pocket following by the induced fitting mechanism to enter the correct native bound conformation. In the final state, the dehydration of the binding interfaces and secondary structure formation greatly contribute to the formation of the native bound structure. In addition, our recently developed method has ability to estimate the residence time in agreement with experimental data.

Academic Significance and Societal Importance of the Research Achievements

This research results provide detailed atomic structures of TAD-p53 bound to MDM2 which can potentially treat as drug target to help to prevent the p53 related diseases such as cancer and neurodegenerative diseases.

Report

(3 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • Research Products

    (10 results)

All 2021 2020 2019

All Journal Article (5 results) (of which Int'l Joint Research: 4 results,  Peer Reviewed: 5 results,  Open Access: 1 results) Presentation (5 results) (of which Int'l Joint Research: 3 results,  Invited: 3 results)

  • [Journal Article] Delineating the conformational landscape of the adenosine A2A receptor during G protein coupling2021

    • Author(s)
      Huang, S. K., Pandey, A., Tran, D. P., Villanueva, N. L., Kitao, A., Sunahara, R. K., Sljoka, A. and Prosser, R. S.
    • Journal Title

      Cell

      Volume: 184 Issue: 7 Pages: 1884-1894.e14

    • DOI

      10.1016/j.cell.2021.02.041

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Edge expansion parallel cascade selection molecular dynamics simulation for investigating large-amplitude collective motions of proteins2020

    • Author(s)
      Kenichiro Takaba, Duy Phuoc Tran and Akio Kitao
    • Journal Title

      J. Chem. Phys.

      Volume: 152 Issue: 22 Pages: 225101-225101

    • DOI

      10.1063/5.0004654

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Generating Ampicillin-Level Antimicrobial Peptides with Activity-Aware Generative Adversarial Networks2020

    • Author(s)
      Tucs Andrejs、Tran Duy Phuoc、Yumoto Akiko、Ito Yoshihiro、Uzawa Takanori、Tsuda Koji
    • Journal Title

      ACS Omega

      Volume: 5 Issue: 36 Pages: 22847-22851

    • DOI

      10.1021/acsomega.0c02088

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] PaCS-MD/MSM : Parallel Cascade Selection Molecular Dynamic Simulation in Combination with Markov State Model as an Efficient non-Bias Sampling Method2020

    • Author(s)
      Duy Phuoc Tran, Hata Hiroaki, Ogawa Takumi, Taira Yuta, Kitao Akio
    • Journal Title

      アンサンブル : 分子シミュレーション研究会会誌

      Volume: 22 Pages: 151-156

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Kinetic Selection and Relaxation of the Intrinsically Disordered Region of a Protein upon Binding2020

    • Author(s)
      Tran Duy Phuoc、Kitao Akio
    • Journal Title

      Journal of Chemical Theory and Computation

      Volume: 16 Issue: 4 Pages: 2835-2845

    • DOI

      10.1021/acs.jctc.9b01203

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Biomolecular Functional Design: an Introduction to Recent Advances2020

    • Author(s)
      Duy Tran
    • Organizer
      The 58th Annual Meeting of the Biophysical Society of Japan
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] DNA binding mechanisms of the p53 C-terminal domain elucidated by MD simulation2020

    • Author(s)
      Yuta Taira, Duy Tran, Akio Kitao
    • Organizer
      The 58th Annual Meeting of the Biophysical Society of Japan
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Kinetic rate evaluation for protein complexes by PaCS-MD/MSM2020

    • Author(s)
      Yoshiki Miyazawa, Phuoc Duy Tran, Kazuhiro Takemura, Akio Kitao
    • Organizer
      The 58th Annual Meeting of the Biophysical Society of Japan
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] When computer simulations meet machine learning: unveiling the dynamics of biomolecular complexes2020

    • Author(s)
      Duy Tran, Akio Kitao
    • Organizer
      The 9th Tokyo Tech International Symposium on Life Science and Technology
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] Calculation of binding free energy and kinetic rates with flexible protein docking2019

    • Author(s)
      Tran Phuoc Duy, Akio Kitao
    • Organizer
      Annual Meeting of the Biophysical Society of Japan
    • Related Report
      2019 Research-status Report
    • Invited

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Published: 2019-09-03   Modified: 2022-01-27  

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