Literature DB >> 19260004

Modeling the separation of macromolecules: a review of current computer simulation methods.

Gary W Slater1, Christian Holm, Mykyta V Chubynsky, Hendrick W de Haan, Antoine Dubé, Kai Grass, Owen A Hickey, Christine Kingsburry, David Sean, Tyler N Shendruk, Lixin Zhan.   

Abstract

Theory and numerical simulations play a major role in the development of improved and novel separation methods. In some cases, computer simulations predict counterintuitive effects that must be taken into account in order to properly optimize a device. In other cases, simulations allow the scientist to focus on a subset of important system parameters. Occasionally, simulations even generate entirely new separation ideas! In this article, we review the main simulation methods that are currently being used to model separation techniques of interest to the readers of Electrophoresis. In the first part of the article, we provide a brief description of the numerical models themselves, starting with molecular methods and then moving towards more efficient coarse-grained approaches. In the second part, we briefly examine nine separation problems and some of the methods used to model them. We conclude with a short discussion of some notoriously hard-to-model separation problems and a description of some of the available simulation software packages.

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Year:  2009        PMID: 19260004     DOI: 10.1002/elps.200800673

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  15 in total

1.  Mesoscopic simulation of single DNA dynamics in rotational flows.

Authors:  S Kumar Ranjith
Journal:  Eur Phys J E Soft Matter       Date:  2015-08-28       Impact factor: 1.890

2.  DNA Translocations through Nanopores under Nanoscale Preconfinement.

Authors:  Kyle Briggs; Gregory Madejski; Martin Magill; Konstantinos Kastritis; Hendrick W de Haan; James L McGrath; Vincent Tabard-Cossa
Journal:  Nano Lett       Date:  2017-12-06       Impact factor: 11.189

3.  Anomalous packing and dynamics of a polymer chain confined in a static porous environment.

Authors:  Zachary E Dell; M Muthukumar
Journal:  J Chem Phys       Date:  2018-11-07       Impact factor: 3.488

4.  Simulating the entropic collapse of coarse-grained chromosomes.

Authors:  Tyler N Shendruk; Martin Bertrand; Hendrick W de Haan; James L Harden; Gary W Slater
Journal:  Biophys J       Date:  2015-02-17       Impact factor: 4.033

5.  Physical confinement signals regulate the organization of stem cells in three dimensions.

Authors:  Sebastian V Hadjiantoniou; David Sean; Maxime Ignacio; Michel Godin; Gary W Slater; Andrew E Pelling
Journal:  J R Soc Interface       Date:  2016-10       Impact factor: 4.118

6.  Modeling and Simulating the Dynamics of Type IV Pili Extension of Pseudomonas aeruginosa.

Authors:  Hendrick W de Haan
Journal:  Biophys J       Date:  2016-11-15       Impact factor: 4.033

7.  Effects of nanopore size on the flow-induced star polymer translocation.

Authors:  Qiaoyue Chen; Lili Zhang; Mingming Ding; Xiaozheng Duan; Yineng Huang; Tongfei Shi
Journal:  Eur Phys J E Soft Matter       Date:  2016-11-21       Impact factor: 1.890

8.  Entropic Trapping of DNA with a Nanofiltered Nanopore.

Authors:  Michelle H Lam; Kyle Briggs; Konstantinos Kastritis; Martin Magill; Gregory R Madejski; James L McGrath; Hendrick W de Haan; Vincent Tabard-Cossa
Journal:  ACS Appl Nano Mater       Date:  2019-06-19

9.  Effects of Polymer Length and Salt Concentration on the Transport of ssDNA in Nanofluidic Channels.

Authors:  Weixin Qian; Kentaro Doi; Satoyuki Kawano
Journal:  Biophys J       Date:  2017-03-14       Impact factor: 4.033

10.  Water film thickness-dependent conformation and diffusion of single-strand DNA on poly(ethylene glycol)-silane surface.

Authors:  Jae Hyun Park; N R Aluru
Journal:  Appl Phys Lett       Date:  2010-03-24       Impact factor: 3.791

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