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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2017Coarse-Grained Modeling of Antibodies from Small-Angle Scattering Profiles34citations

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Pathak, Jai
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Ekizoglou, Sofia
1 / 1 shared
Baldock, Clair
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Uddin, Shahid
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Corbett, Daniel
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Keeling, Rose
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Sarangapani, Prasad
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Ke, Peng
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Avendano, Carlos
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Curtis, Robin
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Hebditch, Max
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2017

Co-Authors (by relevance)

  • Pathak, Jai
  • Ekizoglou, Sofia
  • Baldock, Clair
  • Uddin, Shahid
  • Corbett, Daniel
  • Keeling, Rose
  • Sarangapani, Prasad
  • Ke, Peng
  • Avendano, Carlos
  • Curtis, Robin
  • Hebditch, Max
OrganizationsLocationPeople

article

Coarse-Grained Modeling of Antibodies from Small-Angle Scattering Profiles

  • Pathak, Jai
  • Ekizoglou, Sofia
  • Walle, Christopher F. Van Der
  • Baldock, Clair
  • Uddin, Shahid
  • Corbett, Daniel
  • Keeling, Rose
  • Sarangapani, Prasad
  • Ke, Peng
  • Avendano, Carlos
  • Curtis, Robin
  • Hebditch, Max
Abstract

<p>Predicting the concentrated solution behavior for monoclonal antibodies requires developing and using minimal models to describe their shape and interaction potential. Toward this end, the small-angle X-ray scattering (SAXS) profiles for a monoclonal antibody (COE-03) have been measured under solution conditions chosen to produce weak self-association. The experiments are complemented with molecular simulations of a three-bead antibody model with and without interbead attraction. The scattering profile is extracted directly from the molecular simulation to avoid using the decoupling approximation. We examine the ability of the three-bead model to capture features of the scattering profile and the dependence of compressibilty on protein concentration. The three-bead model is able to reproduce generic features of the experimental structure factor as a function of wave vector S(k) including a well-defined shoulder, which is a consequence of the planar structure of the antibody, and a well-defined minimum in S(k) at k ∼ 0.025 Å<sup>-1</sup>. We also show the decoupling approximation is incapable of accounting for highly anisotropic shapes. The best-fit parameters obtained from matching spherical models to simulated scattering profiles are protein concentration dependent, which limits their applicability for predicting thermodynamic properties. Nevertheless, the experimental compressibility curves can be accurately reproduced by an appropriate parametrization of the Baxter adhesive model, indicating the model provides a semiempirical equation of state for the antibody. The results provide insights into how equations of state can be improved for antibodies by accounting for their anisotropic shapes.</p>

Topics
  • impedance spectroscopy
  • experiment
  • simulation
  • anisotropic
  • small angle x-ray scattering