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Christian Gorba

Researcher at University of Arizona

Publications -  6
Citations -  1815

Christian Gorba is an academic researcher from University of Arizona. The author has contributed to research in topics: Distribution function & Epitope. The author has an hindex of 6, co-authored 6 publications receiving 1652 citations. Previous affiliations of Christian Gorba include European Bioinformatics Institute.

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New developments in the ATSAS program package for small-angle scattering data analysis

TL;DR: The paper presents new developments and amendments to the ATSAS package (version 2.4) for processing and analysis of isotropic small-angle scattering data.
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Normal-Mode Flexible Fitting of High-Resolution Structure of Biological Molecules toward One-Dimensional Low-Resolution Data

TL;DR: A method for reconstructing a 3D structure from a pair distribution function by flexibly fitting known x-ray structures toward a conformation that agrees with the low-resolution data is presented.
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Engineered Synthetic Virus-Like Particles and Their Use in Vaccine Delivery

TL;DR: These nanoparticles elicit strong humoral immune responses in mice and rabbits, including antibodies able to cross‐react with the parasite, thereby, supporting the potential value of this delivery system in synthetic vaccine design.
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Normal Mode Flexible Fitting of High-Resolution Structures of Biological Molecules Toward SAXS Data.

TL;DR: This paper presents a method to reconstruct a three-dimensional protein structure from an atomic pair distribution function derived from the scattering intensity profile from SAXS data by flexibly fitting known x-ray structures using a linear combination of low-frequency normal modes from an elastic network description of the molecule in an iterative manner.
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Structure modeling from small angle X-ray scattering data with elastic network normal mode analysis.

TL;DR: This work will discuss theoretical backgrounds and performance of the approach, in which elastic network normal mode analysis is used to predict reasonable conformational transitions from known X-ray structures, and find alternative conformations that are consistent with SAXS data.