Literature DB >> 22659403

Determining pair distance distribution function from SAXS data using parametric functionals.

Haiguang Liu1, Peter H Zwart.   

Abstract

Small angle X-ray scattering (SAXS) experiments are widely applied in structural biology. The SAXS experiments yield one-dimensional profile that needs further analysis to reveal structural information. The pair distance distribution function (PDDF), P(r), can provide molecular structures more intuitively, and it can be used to guide ab initio model reconstructions, making it a critical step to derive P(r) from experimental SAXS profiles. To calculate the P(r) curves, a new method based on a specially designed parametric functional form is developed, and implemented in pregxs. This method is tested against both synthetic and experimental data, the estimated P(r) functions are in good agreement with correct or known P(r). The method can also predict the molecular size. In summary, the pregxs method is robust and accurate in P(r) determination from SAXS profiles. The pregxs source code and an online server are available at http://www.sastbx.als.lbl.gov. Published by Elsevier Inc.

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Year:  2012        PMID: 22659403     DOI: 10.1016/j.jsb.2012.05.011

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  7 in total

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Journal:  Acta Crystallogr A Found Adv       Date:  2017-06-09       Impact factor: 2.290

2.  The crystal structure of a multidomain protease inhibitor (HAI-1) reveals the mechanism of its auto-inhibition.

Authors:  Min Liu; Cai Yuan; Jan K Jensen; Baoyu Zhao; Yunbin Jiang; Longguang Jiang; Mingdong Huang
Journal:  J Biol Chem       Date:  2017-03-27       Impact factor: 5.157

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Journal:  Protein Sci       Date:  2016-06-16       Impact factor: 6.725

4.  Analysis of RNA structure using small-angle X-ray scattering.

Authors:  William A Cantara; Erik D Olson; Karin Musier-Forsyth
Journal:  Methods       Date:  2016-10-21       Impact factor: 3.608

5.  SAXSDom: Modeling multidomain protein structures using small-angle X-ray scattering data.

Authors:  Jie Hou; Badri Adhikari; John J Tanner; Jianlin Cheng
Journal:  Proteins       Date:  2019-12-27

6.  Magnetic-Core/Gold-Shell Nanoparticles for the Detection of Hydrophobic Chemical Contaminants.

Authors:  Anna M Mills; Joseph Strzalka; Andrea Bernat; Qinchun Rao; Daniel T Hallinan
Journal:  Nanomaterials (Basel)       Date:  2022-04-07       Impact factor: 5.076

7.  Model Reconstruction from Small-Angle X-Ray Scattering Data Using Deep Learning Methods.

Authors:  Hao He; Can Liu; Haiguang Liu
Journal:  iScience       Date:  2020-02-13
  7 in total

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