Literature DB >> 26626849

Intrinsic Viscosity of Proteins and Platonic Solids by Boundary Element Methods.

David K Hahn1, Sergio R Aragon1.   

Abstract

The boundary element (BE) method is used to implement a very precise computation of the intrinsic viscosity for rigid molecules of arbitrary shape. The formulation, included in our program BEST, is tested against the analytical Simha formula for ellipsoids of revolution, and the results are essentially numerically exact. Previously unavailable, very precise results for a series of Platonic solids are also presented. The formulation includes the optional determination of the center of viscosity; however, for globular proteins, the difference compared to the computation based on the centroid is insignificant. The main application is to a series of 30 proteins ranging in molecular weight from 12 to 465 kD. The computation starts from the crystal structure as obtained from the Protein Data Bank, and a hydration thickness of 1.1 Å obtained in previous work with BEST was used. The results (extrapolated to an infinite number of triangular boundary elements) for the proteins are separated into two groups:  monomeric and multimeric proteins. The agreement with experimental measurements of the intrinsic viscosity in the case of monomeric proteins is excellent and within experimental error of 5%, demonstrating that the solution and crystal structure are hydrodynamically equivalent. However, for some multimeric proteins, we observe strong systematic deviations around -20%, which we interpret as a systematic deviation of the solution structure from the crystal structure. A possible description of the structural change is deduced by using simple ellipsoid model parameters. A method to obtain intrinsic viscosity values for proteins to 1-2% accuracy (better than experimental error) on the basis of a single BE computation (avoiding the need for an extrapolation on the number of surface triangles) is also presented.

Year:  2006        PMID: 26626849     DOI: 10.1021/ct600062y

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  8 in total

1.  Construction, MD simulation, and hydrodynamic validation of an all-atom model of a monoclonal IgG antibody.

Authors:  J Paul Brandt; Thomas W Patapoff; Sergio R Aragon
Journal:  Biophys J       Date:  2010-08-04       Impact factor: 4.033

Review 2.  Recent advances in macromolecular hydrodynamic modeling.

Authors:  Sergio R Aragon
Journal:  Methods       Date:  2010-11-10       Impact factor: 3.608

3.  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

4.  Computing translational diffusion and sedimentation coefficients: an evaluation of experimental data and programs.

Authors:  Mattia Rocco; Olwyn Byron
Journal:  Eur Biophys J       Date:  2015-06-12       Impact factor: 1.733

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.  Mega macromolecules as single molecule lubricants for hard and soft surfaces.

Authors:  Parambath Anilkumar; Taylor B Lawson; Srinivas Abbina; Janne T A Mäkelä; Robert C Sabatelle; Lily E Takeuchi; Brian D Snyder; Mark W Grinstaff; Jayachandran N Kizhakkedathu
Journal:  Nat Commun       Date:  2020-05-01       Impact factor: 14.919

7.  Cysteine-Rich Atrial Secretory Protein from the Snail Achatina achatina: Purification and Structural Characterization.

Authors:  Sergey Shabelnikov; Artem Kiselev
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

Review 8.  How Important Is Protein Diffusion in Prokaryotes?

Authors:  Paul E Schavemaker; Arnold J Boersma; Bert Poolman
Journal:  Front Mol Biosci       Date:  2018-11-13
  8 in total

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