Literature DB >> 26610102

Striking Effects of Hydrodynamic Interactions on the Simulated Diffusion and Folding of Proteins.

Tamara Frembgen-Kesner1, Adrian H Elcock1.   

Abstract

Successful modeling of the processes of protein folding and aggregation may ultimately require accurate descriptions of proteins' diffusive characteristics, which are expected to be influenced by hydrodynamic effects; a comprehensive study of the diffusion and folding of 11 model proteins with an established simulation model extended to include hydrodynamic interactions between residues has therefore been carried out. Molecular simulations that neglect hydrodynamic interactions are incapable of simultaneously reproducing the expected experimental translational and rotational diffusion coefficients of folded proteins, drastically underestimating both when reasonable hydrodynamic radii are employed. In contrast, simulations that include hydrodynamic interactions produce diffusion coefficients that match very well with the expected experimental values for translation and rotation and also correctly capture the significant decrease in translational diffusion coefficient that accompanies protein unfolding. These effects are reflected in folding simulations of the same proteins: the inclusion of hydrodynamic interactions accelerates folding by 2-3-fold with the rate enhancement for the association of secondary structure elements exhibiting a strong sensitivity on the sequence-distance between the associating elements.

Year:  2009        PMID: 26610102     DOI: 10.1021/ct800499p

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


  47 in total

1.  Absolute protein-protein association rate constants from flexible, coarse-grained Brownian dynamics simulations: the role of intermolecular hydrodynamic interactions in barnase-barstar association.

Authors:  Tamara Frembgen-Kesner; Adrian H Elcock
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

2.  Effects of confinement on models of intracellular macromolecular dynamics.

Authors:  Edmond Chow; Jeffrey Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-16       Impact factor: 11.205

3.  A computational kinetic model of diffusion for molecular systems.

Authors:  Ivan Teo; Klaus Schulten
Journal:  J Chem Phys       Date:  2013-09-28       Impact factor: 3.488

4.  Krylov subspace methods for computing hydrodynamic interactions in brownian dynamics simulations.

Authors:  Tadashi Ando; Edmond Chow; Yousef Saad; Jeffrey Skolnick
Journal:  J Chem Phys       Date:  2012-08-14       Impact factor: 3.488

5.  Molecular dynamics simulations of highly crowded amino acid solutions: comparisons of eight different force field combinations with experiment and with each other.

Authors:  Casey T Andrews; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2013-10-08       Impact factor: 6.006

6.  Molecular simulations of mutually exclusive folding in a two-domain protein switch.

Authors:  Brandon M Mills; Lillian T Chong
Journal:  Biophys J       Date:  2011-02-02       Impact factor: 4.033

7.  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

8.  AESOP: A Python Library for Investigating Electrostatics in Protein Interactions.

Authors:  Reed E S Harrison; Rohith R Mohan; Ronald D Gorham; Chris A Kieslich; Dimitrios Morikis
Journal:  Biophys J       Date:  2017-05-09       Impact factor: 4.033

9.  Parametrization of Backbone Flexibility in a Coarse-Grained Force Field for Proteins (COFFDROP) Derived from All-Atom Explicit-Solvent Molecular Dynamics Simulations of All Possible Two-Residue Peptides.

Authors:  Tamara Frembgen-Kesner; Casey T Andrews; Shuxiang Li; Nguyet Anh Ngo; Scott A Shubert; Aakash Jain; Oluwatoni J Olayiwola; Mitch R Weishaar; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2015-04-30       Impact factor: 6.006

10.  Diffusion, crowding & protein stability in a dynamic molecular model of the bacterial cytoplasm.

Authors:  Sean R McGuffee; Adrian H Elcock
Journal:  PLoS Comput Biol       Date:  2010-03-05       Impact factor: 4.475

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