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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Materials Map under construction

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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Sessions, Richard B.

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University of Bristol

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2020A Multipronged Screening Approach Targeting Inhibition of ETV6 PNT Domain Polymerization3citations
  • 2019343-LB: The Type 2 Diabetes-Associated Lipid Binding Protein STARD10 Controls Insulin Secretory Granule Biogenesiscitations
  • 2014Computational design of water-soluble α-helical barrels332citations
  • 2014Molecular dynamics simulations reveal a dielectric-responsive coronal structure in protein-polymer surfactant hybrid nanoconstructs43citations

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Zhang, Si Miao
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Balgi, Aruna D.
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Gerak, Chloe A. N.
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Mcintosh, Lawrence P.
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Roberge, Michel
1 / 1 shared
Sadowski, Ivan J.
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Leclerc, Isabelle
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Rutter, Guy A.
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Alpy, Fabien
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Kong, Alice P.
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Cakebread, Andrew
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Hodson, David
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Distaso, Walter
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Stylianides, Theodoros
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Salem, Victoria
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Pullen, Timothy J.
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Georgiadou, Eleni
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Tomas, Alejandra
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Piunti, Alexandra
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Haataja, Leena
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Arvan, Peter
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Carrat, Gaelle
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Haythorne, Elizabeth
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Fung, Annie
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Burton, Antony J.
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Bartlett, Gail J.
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Brady, R. Leo
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Woolfson, Derek N.
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Thomson, Andrew R.
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Wood, Christopher
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Brogan, Alex P. S.
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Mann, Stephen
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Perriman, Adam Willis
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2020
2019
2014

Co-Authors (by relevance)

  • Zhang, Si Miao
  • Balgi, Aruna D.
  • Gerak, Chloe A. N.
  • Mcintosh, Lawrence P.
  • Roberge, Michel
  • Sadowski, Ivan J.
  • Leclerc, Isabelle
  • Rutter, Guy A.
  • Alpy, Fabien
  • Kong, Alice P.
  • Cakebread, Andrew
  • Hodson, David
  • Distaso, Walter
  • Stylianides, Theodoros
  • Salem, Victoria
  • Pullen, Timothy J.
  • Georgiadou, Eleni
  • Tomas, Alejandra
  • Piunti, Alexandra
  • Haataja, Leena
  • Arvan, Peter
  • Carrat, Gaelle
  • Haythorne, Elizabeth
  • Fung, Annie
  • Burton, Antony J.
  • Bartlett, Gail J.
  • Brady, R. Leo
  • Woolfson, Derek N.
  • Thomson, Andrew R.
  • Wood, Christopher
  • Brogan, Alex P. S.
  • Mann, Stephen
  • Perriman, Adam Willis
OrganizationsLocationPeople

article

Computational design of water-soluble α-helical barrels

  • Burton, Antony J.
  • Bartlett, Gail J.
  • Brady, R. Leo
  • Woolfson, Derek N.
  • Thomson, Andrew R.
  • Sessions, Richard B.
  • Wood, Christopher
Abstract

<p>The design of protein sequences that fold into prescribed de novo structures is challenging. General solutions to this problem require geometric descriptions of protein folds and methods to fit sequences to these. The α-helical coiled coils present a promising class of protein for this and offer considerable scope for exploring hitherto unseen structures. For α-helical barrels, which have more than four helices and accessible central channels, many of the possible structures remain unobserved. Here, we combine geometrical considerations, knowledge-based scoring, and atomistic modeling to facilitate the design of new channel-containing α-helical barrels. X-ray crystal structures of the resulting designs match predicted in silico models. Furthermore, the observed channels are chemically defined and have diameters related to oligomer state, which present routes to design protein function.</p>

Topics
  • impedance spectroscopy