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Protein folding kinetics with ensemb...

Snow, Christopher Davis.

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Protein folding kinetics with ensemble molecular dynamics.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Protein folding kinetics with ensemble molecular dynamics./
Author:	Snow, Christopher Davis.
Description:	196 p.
Notes:	Source: Dissertation Abstracts International, Volume: 67-09, Section: B, page: 4921.
Contained By:	Dissertation Abstracts International67-09B.
Subject:	Biophysics, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3235351
ISBN:	9780542895883

Protein folding kinetics with ensemble molecular dynamics.
Snow, Christopher Davis.

Protein folding kinetics with ensemble molecular dynamics. - 196 p.

Source: Dissertation Abstracts International, Volume: 67-09, Section: B, page: 4921.

Thesis (Ph.D.)--Stanford University, 2006.

Simulating protein folding is a computational challenge. The straightforward ab initio approach to study folding extends atomistic models for interatomic interactions in proteins with molecular dynamics simulation. However, this approach quickly runs into a major sampling barrier. While small proteins fold on the multiple microsecond to second timescale, detailed atomistic simulations are currently limited to the nanosecond to microsecond timescale. This thesis describes research that aims to bridge this gap using ensemble molecular dynamics to study long timescale protein transitions.

ISBN: 9780542895883Subjects--Topical Terms:

1019105
Biophysics, General.

Protein folding kinetics with ensemble molecular dynamics.
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245 1 0 $a Protein folding kinetics with ensemble molecular dynamics.
300 $a 196 p.
500 $a Source: Dissertation Abstracts International, Volume: 67-09, Section: B, page: 4921.
500 $a Adviser: Vijay Pande.
502 $a Thesis (Ph.D.)--Stanford University, 2006.
520 $a Simulating protein folding is a computational challenge. The straightforward ab initio approach to study folding extends atomistic models for interatomic interactions in proteins with molecular dynamics simulation. However, this approach quickly runs into a major sampling barrier. While small proteins fold on the multiple microsecond to second timescale, detailed atomistic simulations are currently limited to the nanosecond to microsecond timescale. This thesis describes research that aims to bridge this gap using ensemble molecular dynamics to study long timescale protein transitions.
590 $a School code: 0212.
650 4 $a Biophysics, General. $3 1019105
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710 2 0 $a Stanford University. $3 754827
773 0 $t Dissertation Abstracts International $g 67-09B.
790 1 0 $a Pande, Vijay, $e advisor
790 $a 0212
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3235351