Literature DB >> 19308400

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

Peter Zipper1, Helmut Durchschlag.   

Abstract

Hydrodynamic models of proteins have been generated by recourse to crystallographic data and applying a filling model strategy in order to predict both hydrodynamic and scattering parameters. The design of accurate protein models retaining the majority of the molecule peculiarities requires usage of many beads and consideration of many serious problems. Applying the expertise obtained with ellipsoid models and pilot tests on proteins, we succeeded in constructing precise models for several anhydrous and hydrated proteins of different shape, size, and complexity. The models constructed consist of many beads (up to about 11,000) for the protein constituents (atoms, amino acid residues, groups) and preferentially bound water molecules. While in the case of small proteins, parameter predictions are straightforward, computations for giant proteins necessitate drastic reductions of the number of initially available beads. Among several auxiliary programs, our advanced hydration programs, HYDCRYST and HYDMODEL, and modified versions of García de la Torre's program HYDRO were successfully employed. This allowed the generation of realistic protein models by imaging details of their fine structure and enabled the prediction of reliable molecular parameters including intrinsic viscosities. The appearance of the models and the agreement of molecular properties and distance distribution functions p(r) of unreduced and reduced models can be used for a meticulous inspection of the data obtained.

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Year:  2009        PMID: 19308400     DOI: 10.1007/s00249-009-0435-z

Source DB:  PubMed          Journal:  Eur Biophys J        ISSN: 0175-7571            Impact factor:   1.733


  12 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Calculation of hydrodynamic properties of globular proteins from their atomic-level structure.

Authors:  J García De La Torre; M L Huertas; B Carrasco
Journal:  Biophys J       Date:  2000-02       Impact factor: 4.033

3.  Hydrodynamic properties of rigid particles: comparison of different modeling and computational procedures.

Authors:  B Carrasco; J García de la Torre
Journal:  Biophys J       Date:  1999-06       Impact factor: 4.033

4.  SOMO (SOlution MOdeler) differences between X-Ray- and NMR-derived bead models suggest a role for side chain flexibility in protein hydrodynamics.

Authors:  Nithin Rai; Marcelo Nöllmann; Bruno Spotorno; Giovanni Tassara; Olwyn Byron; Mattia Rocco
Journal:  Structure       Date:  2005-05       Impact factor: 5.006

5.  Improved calculation of rotational diffusion and intrinsic viscosity of bead models for macromolecules and nanoparticles.

Authors:  J García de la Torre; G del Rio Echenique; A Ortega
Journal:  J Phys Chem B       Date:  2007-02-08       Impact factor: 2.991

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

Authors:  Olwyn Byron
Journal:  Methods Cell Biol       Date:  2008       Impact factor: 1.441

7.  Modeling complex biological macromolecules: reduction of multibead models.

Authors:  Peter Zipper; Helmut Durchschlag
Journal:  J Biol Phys       Date:  2008-05-09       Impact factor: 1.365

8.  Construction of hydrodynamic bead models from high-resolution X-ray crystallographic or nuclear magnetic resonance data.

Authors:  O Byron
Journal:  Biophys J       Date:  1997-01       Impact factor: 4.033

9.  SIMS: computation of a smooth invariant molecular surface.

Authors:  Y N Vorobjev; J Hermans
Journal:  Biophys J       Date:  1997-08       Impact factor: 4.033

10.  HYDRO: a computer program for the prediction of hydrodynamic properties of macromolecules.

Authors:  J Garcia de la Torre; S Navarro; M C Lopez Martinez; F G Diaz; J J Lopez Cascales
Journal:  Biophys J       Date:  1994-08       Impact factor: 4.033

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  2 in total

1.  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

2.  Acceleration and Parallelization of ZENO/Walk-on-Spheres.

Authors:  Derek Juba; Walid Keyrouz; Michael Mascagni; Mary Brady
Journal:  Procedia Comput Sci       Date:  2016
  2 in total

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