Literature DB >> 17964937

Hydrodynamic modeling: the solution conformation of macromolecules and their complexes.

Olwyn Byron1.   

Abstract

Hydrodynamic bead modeling (HBM) is the representation of a macromolecule by an assembly of spheres (or beads) for which measurable hydrodynamic (and related) parameters are then computed in order to understand better the macromolecular solution conformation. An example-based account is given of the main stages in HBM of rigid macromolecules, namely: model construction, model visualization, accounting for hydration, and hydrodynamic calculations. Different types of models are appropriate for different macromolecules, according to their composition, to what is known about the molecule or according to the types of experimental data that the model should reproduce. Accordingly, the construction of models based on atomic coordinates as well as much lower resolution data (e.g., electron microscopy images) is described. Similarly, several programs for hydrodynamic calculations are summarized, some generating the most basic set of solution parameters (e.g., sedimentation and translational diffusion coefficients, intrinsic viscosity, radius of gyration, and Stokes radius) while others extend to data determined by nuclear magnetic resonance, fluorescence anisotropy, and electric birefringence methods. An insight into the topic of hydrodynamic hydration is given, together with some practical suggestions for its satisfactory treatment in the modeling context. All programs reviewed are freely available.

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Year:  2008        PMID: 17964937     DOI: 10.1016/S0091-679X(07)84012-X

Source DB:  PubMed          Journal:  Methods Cell Biol        ISSN: 0091-679X            Impact factor:   1.441


  12 in total

1.  Hydrodynamic multibead modeling: problems, pitfalls, and solutions. 1. Ellipsoid models.

Authors:  Peter Zipper; Helmut Durchschlag
Journal:  Eur Biophys J       Date:  2009-03-12       Impact factor: 1.733

2.  Hydrodynamic multibead modeling: problems, pitfalls, and solutions. 2. Proteins.

Authors:  Peter Zipper; Helmut Durchschlag
Journal:  Eur Biophys J       Date:  2009-03-24       Impact factor: 1.733

3.  Hydrodynamic multibead modeling: problems, pitfalls and solutions. 3. Comparison of new approaches for improved predictions of translational properties.

Authors:  Peter Zipper; Helmut Durchschlag
Journal:  Eur Biophys J       Date:  2013-05-23       Impact factor: 1.733

4.  Prediction of hydrodynamic and other solution properties of rigid proteins from atomic- and residue-level models.

Authors:  A Ortega; D Amorós; J García de la Torre
Journal:  Biophys J       Date:  2011-08-17       Impact factor: 4.033

5.  GRPY: An Accurate Bead Method for Calculation of Hydrodynamic Properties of Rigid Biomacromolecules.

Authors:  Pawel J Zuk; Bogdan Cichocki; Piotr Szymczak
Journal:  Biophys J       Date:  2018-07-24       Impact factor: 4.033

6.  Solution structure and characterisation of the human pyruvate dehydrogenase complex core assembly.

Authors:  S Vijayakrishnan; S M Kelly; R J C Gilbert; P Callow; D Bhella; T Forsyth; J G Lindsay; O Byron
Journal:  J Mol Biol       Date:  2010-03-31       Impact factor: 5.469

7.  Calculation of hydrodynamic properties for G-quadruplex nucleic acid structures from in silico bead models.

Authors:  Huy T Le; Robert Buscaglia; William L Dean; Jonathan B Chaires; John O Trent
Journal:  Top Curr Chem       Date:  2013

8.  Hydrodynamic Models of G-Quadruplex Structures.

Authors:  Jonathan B Chaires; William L Dean; Huy T Le; John O Trent
Journal:  Methods Enzymol       Date:  2015-06-19       Impact factor: 1.600

Review 9.  Stability and kinetics of G-quadruplex structures.

Authors:  Andrew N Lane; J Brad Chaires; Robert D Gray; John O Trent
Journal:  Nucleic Acids Res       Date:  2008-08-21       Impact factor: 16.971

10.  Hydrodynamic characterization of recombinant human fibrinogen species.

Authors:  Bertrand Raynal; Barbara Cardinali; Jos Grimbergen; Aldo Profumo; Susan T Lord; Patrick England; Mattia Rocco
Journal:  Thromb Res       Date:  2013-04-30       Impact factor: 3.944

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