Literature DB >> 23742464

Assessing the two-body diffusion tensor calculated by the bead models.

Nuo Wang1, Gary A Huber, J Andrew McCammon.   

Abstract

The diffusion tensor of complex macromolecules in Stokes flow is often approximated by the bead models. The bead models are known to reproduce the experimental diffusion coefficients of a single macromolecule, but the accuracy of their calculation of the whole multi-body diffusion tensor, which is important for Brownian dynamics simulations, has not been closely investigated. As a first step, we assess the accuracy of the bead model calculated diffusion tensor of two spheres. Our results show that the bead models produce very accurate diffusion tensors for two spheres where a reasonable number of beads are used and there is no bead overlap.

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Year:  2013        PMID: 23742464      PMCID: PMC3683057          DOI: 10.1063/1.4807590

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  16 in total

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Authors:  J Garcia de la Torre
Journal:  Biophys Chem       Date:  2001-12-25       Impact factor: 2.352

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Journal:  Biophys J       Date:  1999-06       Impact factor: 4.033

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Journal:  J Phys Chem B       Date:  2007-02-08       Impact factor: 2.991

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Journal:  Biopolymers       Date:  1967-02       Impact factor: 2.505

6.  Comparison of Brownian dynamics algorithms with hydrodynamic interaction.

Authors:  Ricardo Rodríguez Schmidt; José G Hernández Cifre; José García de la Torre
Journal:  J Chem Phys       Date:  2011-08-28       Impact factor: 3.488

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Journal:  Biophys J       Date:  1997-05       Impact factor: 4.033

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Journal:  Biophys J       Date:  1993-01       Impact factor: 4.033

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Journal:  Biophys J       Date:  1994-08       Impact factor: 4.033

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Journal:  Biochemistry       Date:  1967-06       Impact factor: 3.162

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  2 in total

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2.  RPYFMM: Parallel Adaptive Fast Multipole Method for Rotne-Prager-Yamakawa Tensor in Biomolecular Hydrodynamics Simulations.

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Journal:  Comput Phys Commun       Date:  2018-02-16       Impact factor: 4.390

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