Literature DB >> 18786543

Characterization of protein fold by wide-angle X-ray solution scattering.

Lee Makowski1, Diane J Rodi, Suneeta Mandava, Satish Devarapalli, Robert F Fischetti.   

Abstract

Wide-angle X-ray solution scattering (WAXS) patterns contain substantial information about the three-dimensional structure of a protein. Although WAXS data have far less information than is required for determination of a full three-dimensional structure, the actual amount of information contained in a WAXS pattern has not been carefully quantified. Here we carry out an analysis of the amount of information that can be extracted from a WAXS pattern and demonstrate that it is adequate to estimate the secondary-structure content of a protein and to strongly limit its possible tertiary structures. WAXS patterns computed from the atomic coordinates of a set of 498 protein domains representing all of known fold space were used as the basis for constructing a multidimensional space of all corresponding WAXS patterns ('WAXS space'). Within WAXS space, each scattering pattern is represented by a single vector. A principal components analysis was carried out to identify those directions in WAXS space that provide the greatest discrimination among patterns. The number of dimensions that provide significant discrimination among protein folds agrees well with the number of independent parameters estimated from a naïve Shannon sampling theorem approach. Estimates of the relative abundances of secondary structures were made using training/test sets derived from this data set. The average error in the estimate of alpha-helical content was 11%, and of beta-sheet content was 9%. The distribution of proteins that are members of the four structure classes, alpha, beta, alpha/beta and alpha+beta, are well separated in WAXS space when data extending to a spacing of 2.2 A are used. Quantification of the information embedded within a WAXS pattern indicates that these data can be used as a powerful constraint in homology modeling of protein structures.

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Year:  2008        PMID: 18786543     DOI: 10.1016/j.jmb.2008.08.038

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  14 in total

1.  Modeling the hydration layer around proteins: applications to small- and wide-angle x-ray scattering.

Authors:  Jouko Juhani Virtanen; Lee Makowski; Tobin R Sosnick; Karl F Freed
Journal:  Biophys J       Date:  2011-10-19       Impact factor: 4.033

2.  Correlation to protein conformation of Wide-angle X-ray Scatter parameters.

Authors:  Wael M Elshemey; Abdo A Elfiky; Wissam A Gawad
Journal:  Protein J       Date:  2010-11       Impact factor: 2.371

3.  A rapid coarse residue-based computational method for x-ray solution scattering characterization of protein folds and multiple conformational states of large protein complexes.

Authors:  Sichun Yang; Sanghyun Park; Lee Makowski; Benoît Roux
Journal:  Biophys J       Date:  2009-06-03       Impact factor: 4.033

4.  Simulated x-ray scattering of protein solutions using explicit-solvent models.

Authors:  Sanghyun Park; Jaydeep P Bardhan; Benoît Roux; Lee Makowski
Journal:  J Chem Phys       Date:  2009-04-07       Impact factor: 3.488

Review 5.  X-ray scattering combined with coordinate-based analyses for applications in natural and artificial photosynthesis.

Authors:  David M Tiede; Kristy L Mardis; Xiaobing Zuo
Journal:  Photosynth Res       Date:  2009 Nov-Dec       Impact factor: 3.573

6.  SoftWAXS: a computational tool for modeling wide-angle X-ray solution scattering from biomolecules.

Authors:  Jaydeep Bardhan; Sanghyun Park; Lee Makowski
Journal:  J Appl Crystallogr       Date:  2009-09-08       Impact factor: 3.304

7.  Wide-angle X-ray solution scattering for protein-ligand binding: multivariate curve resolution with Bayesian confidence intervals.

Authors:  David D L Minh; Lee Makowski
Journal:  Biophys J       Date:  2013-02-19       Impact factor: 4.033

8.  Validating solution ensembles from molecular dynamics simulation by wide-angle X-ray scattering data.

Authors:  Po-Chia Chen; Jochen S Hub
Journal:  Biophys J       Date:  2014-07-15       Impact factor: 4.033

9.  Characterization of proteins with wide-angle X-ray solution scattering (WAXS).

Authors:  Lee Makowski
Journal:  J Struct Funct Genomics       Date:  2010-01-05

Review 10.  How random are intrinsically disordered proteins? A small angle scattering perspective.

Authors:  Veronique Receveur-Brechot; Dominique Durand
Journal:  Curr Protein Pept Sci       Date:  2012-02       Impact factor: 3.272

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