Literature DB >> 11959491

Modeling supramolecular assemblages.

Adrian H Elcock1.   

Abstract

There has been some progress (but not much) in simulating supramolecular assemblages in the past year. The two main technical advances have been, firstly, the establishment of a protocol for extracting equilibrium thermodynamic data from forced (i.e. nonequilibrium) simulations and experiments, and, secondly, the development of a method for accurately calculating the electrostatics of enormous systems. Some recent applications have demonstrated the increasing feasibility of performing meaningful simulations of very large systems.

Mesh:

Substances:

Year:  2002        PMID: 11959491     DOI: 10.1016/s0959-440x(02)00303-2

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  6 in total

1.  Atomic-level observation of macromolecular crowding effects: escape of a protein from the GroEL cage.

Authors:  Adrian H Elcock
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-24       Impact factor: 11.205

2.  Analysis of functional motions in Brownian molecular machines with an efficient block normal mode approach: myosin-II and Ca2+ -ATPase.

Authors:  Guohui Li; Qiang Cui
Journal:  Biophys J       Date:  2004-02       Impact factor: 4.033

3.  The implementation of slab geometry for membrane-channel molecular dynamics simulations.

Authors:  David Bostick; Max L Berkowitz
Journal:  Biophys J       Date:  2003-07       Impact factor: 4.033

Review 4.  High performance computing in biology: multimillion atom simulations of nanoscale systems.

Authors:  K Y Sanbonmatsu; C-S Tung
Journal:  J Struct Biol       Date:  2006-11-10       Impact factor: 2.867

5.  A computational model for the electrostatic sequestration of PI(4,5)P2 by membrane-adsorbed basic peptides.

Authors:  Jiyao Wang; Alok Gambhir; Stuart McLaughlin; Diana Murray
Journal:  Biophys J       Date:  2004-04       Impact factor: 4.033

6.  The association of tetrameric acetylcholinesterase with ColQ tail: a block normal mode analysis.

Authors:  Deqiang Zhang; J Andrew McCammon
Journal:  PLoS Comput Biol       Date:  2005-11-18       Impact factor: 4.475

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.