Publications by authors named "Emre Onuk"

Article Synopsis
  • Extending x-ray solution scattering data into the wide-angle regime (WAXS) offers insights into molecular models derived from various methods, like crystallography and molecular dynamics.
  • WAXS data enhances our understanding of macromolecular structure and dynamics, revealing details about protein folding and structural fluctuations that SAXS alone cannot uncover.
  • The technique allows for direct comparisons with molecular dynamics simulations and aids in screening ligand interactions, making it a valuable addition to the tools used in biophysical research.
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Crystal structures of adenylate kinase (AdK) from Escherichia coli capture two states: an "open" conformation (apo) obtained in the absence of ligands and a "closed" conformation in which ligands are bound. Other AdK crystal structures suggest intermediate conformations that may lie on the transition pathway between these two states. To characterize the transition from open to closed states in solution, X-ray solution scattering data were collected from AdK in the apo form and with progressively increasing concentrations of five different ligands.

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In this paper, we describe a model for maximum likelihood estimation (MLE) of the relative abundances of different conformations of a protein in a heterogeneous mixture from small angle X-ray scattering (SAXS) intensities. To consider cases where the solution includes intermediate or unknown conformations, we develop a subset selection method based on k-means clustering and the Cramér-Rao bound on the mixture coefficient estimation error to find a sparse basis set that represents the space spanned by the measured SAXS intensities of the known conformations of a protein. Then, using the selected basis set and the assumptions on the model for the intensity measurements, we show that the MLE model can be expressed as a constrained convex optimization problem.

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