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      Macromolecular diffusion in crowded media beyond the hard-sphere model

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          Abstract

          A novel model (Chain Entanglement Softened Potential) for polymer interaction is presented to consider macromolecular entanglement via a soft potential.

          Abstract

          The effect of macromolecular crowding on diffusion beyond the hard-core sphere model is studied. A new coarse-grained model is presented, the Chain Entanglement Softened Potential (CESP) model, which takes into account the macromolecular flexibility and chain entanglement. The CESP model uses a shoulder-shaped interaction potential that is implemented in the Brownian Dynamics (BD) computations. The interaction potential contains only one parameter associated with the chain entanglement energetic cost ( U r). The hydrodynamic interactions are included in the BD computations via Tokuyama mean-field equations. The model is used to analyze the diffusion of a streptavidin protein among different sized dextran obstacles. For this system, U r is obtained by fitting the streptavidin experimental long-time diffusion coefficient D long versus the macromolecular concentration for D50 (indicating their molecular weight in kg mol −1) dextran obstacles. The obtained D long values show better quantitative agreement with experiments than those obtained with hard-core spheres. Moreover, once parametrized, the CESP model is also able to quantitatively predict D long and the anomalous exponent ( α) for streptavidin diffusion among D10, D400 and D700 dextran obstacles. D long, the short-time diffusion coefficient ( D short) and α are obtained from the BD simulations by using a new empirical expression, able to describe the full temporal evolution of the diffusion coefficient.

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          Brownian dynamics with hydrodynamic interactions

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            Stokesian Dynamics

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

              Here we extend the ability to predict hydrodynamic coefficients and other solution properties of rigid macromolecular structures from atomic-level structures, implemented in the computer program HYDROPRO, to models with lower, residue-level resolution. Whereas in the former case there is one bead per nonhydrogen atom, the latter contains one bead per amino acid (or nucleotide) residue, thus allowing calculations when atomic resolution is not available or coarse-grained models are preferred. We parameterized the effective hydrodynamic radius of the elements in the atomic- and residue-level models using a very large set of experimental data for translational and rotational coefficients (intrinsic viscosity and radius of gyration) for >50 proteins. We also extended the calculations to very large proteins and macromolecular complexes, such as the whole 70S ribosome. We show that with proper parameterization, the two levels of resolution yield similar and rather good agreement with experimental data. The new version of HYDROPRO, in addition to considering various computational and modeling schemes, is far more efficient computationally and can be handled with the use of a graphical interface. Copyright © 2011 Biophysical Society. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                SMOABF
                Soft Matter
                Soft Matter
                Royal Society of Chemistry (RSC)
                1744-683X
                1744-6848
                April 25 2018
                2018
                : 14
                : 16
                : 3105-3114
                Affiliations
                [1 ]Department of Material Science and Physical Chemistry
                [2 ]Barcelona University
                [3 ]08028 Barcelona
                [4 ]Spain
                [5 ]Institute of Theoretical and Computational Chemistry (IQTC)
                [6 ]Department of Chemistry
                [7 ]University of Lleida (UdL)
                [8 ]25003 Lleida
                Article
                10.1039/C8SM00201K
                29620120
                c7d32b67-fd22-41c6-b506-c25a28350e05
                © 2018

                http://creativecommons.org/licenses/by/3.0/

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