Title | ||
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Constrained Maximum Likelihood Estimation of Relative Abundances of Protein Conformation in a Heterogeneous Mixture From Small Angle X-Ray Scattering Intensity Measurements. |
Abstract | ||
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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... |
Year | DOI | Venue |
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2015 | 10.1109/TSP.2015.2455515 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Proteins,Maximum likelihood estimation,Noise,Noise measurement,X-ray scattering,Scattering | Mathematical optimization,Monte Carlo method,Small-angle X-ray scattering,Scattering,Molecular dynamics,Cluster analysis,Convex optimization,Basis set,Mathematics,Protein structure | Journal |
Volume | Issue | ISSN |
63 | 20 | 1053-587X |
Citations | PageRank | References |
2 | 0.91 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
A. Emre Onuk | 1 | 2 | 1.25 |
Murat Akçakaya | 2 | 59 | 21.15 |
Jaydeep P. Bardhan | 3 | 56 | 8.55 |
Deniz Erdogmus | 4 | 1299 | 169.92 |
Dana H Brooks | 5 | 215 | 61.52 |
Lee Makowski | 6 | 2 | 2.60 |