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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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How Large is an α-Helix? Studies of the Radii of Gyration of Helical Peptides by Small-angle X-ray Scattering and Molecular Dynamics

TL;DR: Even at the short sequences examined here (≤37 amino acid residues), these α-helical peptides behave as fluctuating semi-broken rods rather than straight cylinders with frayed ends.
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Transient dimer in the refolding kinetics of cytochrome c characterized by small-angle X-ray scattering.

TL;DR: Final protein and denaturant concentrations were varied in the refolding kinetics, and the singular value decomposition (SVD) method was employed to characterize the associated state, which was determined to be a dimer, with properties consistent with a molten globule.
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Dissecting electrostatic screening, specific ion binding, and ligand binding in an energetic model for glycine riboswitch folding

TL;DR: A case study of how ion-dependent electrostatic relaxation, specific ion binding, and ligand binding can be coupled to shape the energetic landscape of a riboswitch and can begin to be quantitatively dissected is provided.
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Do conformational biases of simple helical junctions influence RNA folding stability and specificity

TL;DR: Junction topology provides a fundamental strategy for transcending the limitations imposed by the low information content of RNA primary sequence and defining the accessible conformational space, thereby stabilizing desired structures and assisting in discriminating against misfolded structures.
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Toward the mechanism of dynamical couplings and translocation in hepatitis C virus NS3 helicase using elastic network model

TL;DR: The correlation analysis identifies a network of hot‐spot residues that dynamically couple the ATP‐binding site and the polynucleotide‐binding sites in NS3 helicase that are found to be dominated by the lowest frequency mode solved from the ENM.