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Sebastian Doniach

Researcher at Stanford University

Publications -  217
Citations -  20947

Sebastian Doniach is an academic researcher from Stanford University. The author has contributed to research in topics: Small-angle X-ray scattering & Scattering. The author has an hindex of 78, co-authored 217 publications receiving 19797 citations. Previous affiliations of Sebastian Doniach include Genomics Institute of the Novartis Research Foundation & Cornell University.

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Effects of nitration on the structure and aggregation of α-synuclein

TL;DR: The properties of nitrated α-synuclein were investigated using a variety of biophysical and biochemical techniques and revealed that nitration led to formation of a partially folded conformation with increased secondary structure relative to the intrinsically disordered structure of the monomer, and to oligomerization at neutral pH.
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Characterization of transient intermediates in lysozyme folding with time-resolved small-angle X-ray scattering

TL;DR: In this paper, the authors used synchrotron radiation, together with continuous flow and mixing techniques to monitor refolding of lysozyme at pH 5.2 and showed that a major chain collapse occurs in the dead-time of mixing.
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A Lysozyme Folding Intermediate Revealed by Solution X-ray Scattering

TL;DR: Simplified partially folded models, based on the crystal structure of hen lysozyme, support a working model for the intermediate, whose structure may be correlated with that of the kinetic intermediate found in the refolding pathway studied by Dobson and coworkers.
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Natively unfolded human prothymosin alpha adopts partially folded collapsed conformation at acidic pH.

TL;DR: Interestingly, prothymosin α underwent a cooperative transition from the unfolded state into a partially folded conformation on lowering the pH, and it is possible that such conformational changes may be associated with the protein function.
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Evaluation of ion binding to DNA duplexes using a size-modified Poisson-Boltzmann theory.

TL;DR: An existing size-modified Poisson-Boltzmann (SMPB) theory is generalized and a new numerical implementation that solves the generalized theory around complex, atomistic representations of biological molecules is developed, demonstrating that the theory is predictive.