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2018 Fiscal Year Research-status Report

Database of Molecular Shapes and Diffraction Patterns for X-ray Free Electron Laser Data Analysis

Research Project

Project/Area Number 17K07305
Research InstitutionNagoya University

Principal Investigator

TAMA FLORENCE  名古屋大学, 理学研究科, 教授 (20648191)

Project Period (FY) 2017-04-01 – 2020-03-31
Keywords2D images / 3D structure / single molecules / XFEL
Outline of Annual Research Achievements

Advancements in biophysical experimental techniques have pushed the limits in terms of the types of phenomena that can be characterized, the amount of data that can be produced and the resolution at which we can visualize them. Single particle techniques such as Electron Microscopy (EM) and X-ray free electron laser (XFEL) scattering require a large number of 2D images collected to resolve three-dimensional (3D) structures. An efficient method is proposed to find 3D biological shapes to serve as a starting point for further analyses. In the proposed strategy, a few input XFEL diffraction images are matched against a library of simulated diffraction patterns from 1628 electron microscopy models, to find potential matching 3D models. Different procedures were tested to identify the best strategy to define matching regions to be considered on the diffraction patterns when comparing images. It was shown that the resulting matches are dependent on the uniqueness or complexity of the shape of interest and its availability in the library but given a small number of XFEL diffraction patterns, our algorithm is able to identify potential 3D biological shapes.

Current Status of Research Progress
Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

We have established a protocol for finding 3D shapes from a few 2D images from EM and XFEL experiments and we have been building up the database with 3D shapes, 2D EM images and 2D XFEL images. Finally we have published several papers, one specific to the EM database and others related to EM and XFEL data.

Strategy for Future Research Activity

The procedure to find a match given a few 2D EM images or XFEL diffraction patterns is now established. A manuscript with the description of the XFEL protocol to identify 3D shapes from a few diffraction patterns will be submitted shortly. The database, which currently contains 1700 entries, will be expanded to include additional data and tested with additional experimental data.

Causes of Carryover

Since the XFEL database wasn't fully completed and we are still adding up data, I decided to postpone the purchase of the server to get a more powerful one.

  • Research Products

    (12 results)

All 2019 2018 Other

All Int'l Joint Research (1 results) Journal Article (5 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 5 results,  Open Access: 3 results) Presentation (5 results) (of which Int'l Joint Research: 2 results,  Invited: 5 results) Book (1 results)

  • [Int'l Joint Research] CNRS(フランス)

    • Country Name
      FRANCE
    • Counterpart Institution
      CNRS
  • [Journal Article] Acceleration of cryo-EM Flexible Fitting for Large Biomolecular Systems by Efficient Space Partitioning2019

    • Author(s)
      Mori Takaharu、Kulik Marta、Miyashita Osamu、Jung Jaewoon、Tama Florence、Sugita Yuji
    • Journal Title

      Structure

      Volume: 27 Pages: 161~174.e3

    • DOI

      10.1016/j.str.2018.09.004

    • Peer Reviewed
  • [Journal Article] Role of Computational Methods in Going beyond X-ray Crystallography to Explore Protein Structure and Dynamics2018

    • Author(s)
      Srivastava Ashutosh、Nagai Tetsuro、Srivastava Arpita、Miyashita Osamu、Tama Florence
    • Journal Title

      International Journal of Molecular Sciences

      Volume: 19 Pages: 3401~3401

    • DOI

      10.3390/ijms19113401

    • Peer Reviewed / Open Access
  • [Journal Article] Searching for 3D structural models from a library of biological shapes using a few 2D experimental images.2018

    • Author(s)
      Tiwari SP, Tama F, Miyashita O.
    • Journal Title

      BMC Bioinformatics

      Volume: 12 Pages: 320

    • DOI

      10.1186/s12859-018-2358-0

    • Peer Reviewed / Open Access
  • [Journal Article] Single-particle XFEL 3D reconstruction of ribosome-size particles based on Fourier slice matching: requirements to reach subnanometer resolution2018

    • Author(s)
      Nakano Miki、Miyashita Osamu、Jonic Slavica、Tokuhisa Atsushi、Tama Florence
    • Journal Title

      Journal of Synchrotron Radiation

      Volume: 25 Pages: 1010~1021

    • DOI

      10.1107/S1600577518005568

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Gaussian mixture model for coarse-grained modeling from XFEL2018

    • Author(s)
      Nagai Tetsuro、Mochizuki Yuki、Joti Yasumasa、Tama Florence、Miyashita Osamu
    • Journal Title

      Optics Express

      Volume: 26 Pages: 26734~26734

    • DOI

      10.1364/OE.26.026734

    • Peer Reviewed / Open Access
  • [Presentation] Hybrid modeling approaches to study structures and dynamics of biological systems.2019

    • Author(s)
      Florence Tama
    • Organizer
      63rd Annual Meeting of the Biophysical Society.
    • Int'l Joint Research / Invited
  • [Presentation] Computational tools to characterize structure and dynamics of biomolecular systems from single molecule experiments.2018

    • Author(s)
      Florence Tama
    • Organizer
      American Chemical Society National Meeting
    • Int'l Joint Research / Invited
  • [Presentation] Hybrid modeling approaches to study structures and dynamics of biological systems2018

    • Author(s)
      Florence Tama
    • Organizer
      Second workshop on Advances in Theory and Computation of Complex Systems - Biological Systems. Nanjing, China
    • Invited
  • [Presentation] Hybrid modeling approaches to study structures and dynamics of biological systems.2018

    • Author(s)
      Florence Tama
    • Organizer
      Coarse-Grained Modeling of Structure and Dynamics of Biomacromolecules Workshop. Telluride USA
    • Invited
  • [Presentation] Hybrid modeling approaches to study structures and dynamics of biological systems.2018

    • Author(s)
      Florence Tama
    • Organizer
      Annual Meeting of Biophysical Society of Japan
    • Invited
  • [Book] Hybrid Methods for Macromolecular Modeling by Molecular Mechanics Simulations with Experimental Data. In: Nakamura H., Kleywegt G., Burley S., Markley J. (eds) Integrative Structural Biology with Hybrid Methods. Advances in Experimental Medicine and Biology, vol 11052018

    • Author(s)
      O Miyashita, F. Tama
    • Total Pages
      19
    • Publisher
      Springer, Singapore
    • ISBN
      978-981-13-2199-3

URL: 

Published: 2019-12-27  

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