Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Institut de Biologie Structurale

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2025Electron diffraction unveils the 2D metal-radical framework of two molecule-based magnetscitations
  • 2024Precision defect integrated graphene as reliable support membrane for high-resolution cryo-transmission electron microscopycitations
  • 2022Continuous flow aqueous synthesis of highly luminescent AgInS$_2$ and AgInS$_2$ /ZnS quantum dots23citations
  • 2021Statistically correcting dynamical electron scattering improves the refinement of protein nanocrystals, including charge refinement of coordinated metals15citations

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Luneau, Dominique
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Yörük, Emre
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Inoue, Katsuya
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Kodjikian, Stéphanie
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Tretyakov, Evgeny
1 / 3 shared
Izumi, Yuuta
1 / 1 shared
Housset, Dominique
2 / 2 shared
Klein, Holger
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Lecourt, Constance
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Maryunina, Kseniya
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Desroches, Cédric
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Okuno, Hanako
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Cunge, Gilles
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Nury, Hugues
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Vergnaud, Céline
1 / 15 shared
Darnault, Claudine
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Yadav, Ranjana
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Reiss, Peter
1 / 20 shared
Rivaux, Céline
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Moodelly, Davina
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El-Dahshan, Omar
1 / 1 shared
Aldakov, Dmitry
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Akdas, Tugce
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Van Genderen, Eric
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Zander, Ulrich
1 / 1 shared
Blum, Thorsten B.
1 / 1 shared
Mccarthy, Andrew
1 / 2 shared
Bacia-Verloop, Maria
1 / 1 shared
Abrahams, Jan Pieter
1 / 2 shared
Clabbers, Max T. B.
1 / 2 shared
Chart of publication period
2025
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Co-Authors (by relevance)

  • Luneau, Dominique
  • Yörük, Emre
  • Inoue, Katsuya
  • Kodjikian, Stéphanie
  • Tretyakov, Evgeny
  • Izumi, Yuuta
  • Housset, Dominique
  • Klein, Holger
  • Lecourt, Constance
  • Maryunina, Kseniya
  • Desroches, Cédric
  • Okuno, Hanako
  • López-Sánchez, Uriel
  • Sharma, Kshipra
  • Cunge, Gilles
  • Schoehn, Guy
  • Petit-Etienne, Camille
  • Breyton, Cécile
  • Nury, Hugues
  • Vergnaud, Céline
  • Darnault, Claudine
  • Yadav, Ranjana
  • Reiss, Peter
  • Rivaux, Céline
  • Moodelly, Davina
  • El-Dahshan, Omar
  • Aldakov, Dmitry
  • Akdas, Tugce
  • Van Genderen, Eric
  • Zander, Ulrich
  • Blum, Thorsten B.
  • Mccarthy, Andrew
  • Bacia-Verloop, Maria
  • Abrahams, Jan Pieter
  • Clabbers, Max T. B.
OrganizationsLocationPeople

article

Statistically correcting dynamical electron scattering improves the refinement of protein nanocrystals, including charge refinement of coordinated metals

  • Van Genderen, Eric
  • Zander, Ulrich
  • Schoehn, Guy
  • Blum, Thorsten B.
  • Ling, Wai Li
  • Mccarthy, Andrew
  • Housset, Dominique
  • Bacia-Verloop, Maria
  • Abrahams, Jan Pieter
  • Clabbers, Max T. B.
Abstract

International audience ; Electron diffraction allows protein structure determination when only nanosized crystals are available. Nevertheless, multiple elastic (or dynamical) scattering, which is prominent in electron diffraction, is a concern. Current methods for modeling dynamical scattering by multi-slice or Bloch wave approaches are not suitable for protein crystals because they are not designed to cope with large molecules. Here, dynamical scattering of nanocrystals of insulin, thermolysin and thaumatin was limited by collecting data from thin crystals. To accurately measure the weak diffraction signal from the few unit cells in the thin crystals, a low-noise hybrid pixel Timepix electron-counting detector was used. The remaining dynamical component was further reduced in refinement using a likelihood-based correction, which was introduced previously for analyzing electron diffraction data of small-molecule nanocrystals and was adapted here for protein crystals. The procedure is shown to notably improve the structural refinement, in one case allowing the location of solvent molecules. It also allowed refinement of the charge states of bound metal atoms, an important element in protein function, through B-factor analysis of the metal atoms and their ligands. These results clearly increase the value of macromolecular electron crystallography as a complementary structural biology technique.

Topics
  • impedance spectroscopy
  • electron diffraction