Metastable conformations via successive Perron-Cluster Cluster Analysis of dihedrals

Abstract: "Decomposition of the high dimensional conformational space of biomolecules into metastable subsets is used for data reduction of long molecular trajectories in order to facilitate chemical analysis and to improve convergence of simulations within these subsets. The metastability is i...

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Hauptverfasser: Cordes, Frank (VerfasserIn), Weber, Marcus 1972- (VerfasserIn), Schmidt-Ehrenberg, Johannes (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Berlin Konrad-Zuse-Zentrum für Informationstechnik 2002
Schriftenreihe:ZIB-Report 2002,40
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MARC

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520 3 |a Abstract: "Decomposition of the high dimensional conformational space of biomolecules into metastable subsets is used for data reduction of long molecular trajectories in order to facilitate chemical analysis and to improve convergence of simulations within these subsets. The metastability is identified by the Perron-Cluster Cluster Analysis of a Markov process that describes the thermodynamic distribution. A necessary prerequisite of this analysis is the discretization of the conformational space. A combinatorial approach via discretization of each degree of freedom will end in the so called 'curse of dimension'. In the following paper we analyze Hybrid Monte Carlo simulations of small, drug-like biomolecules and focus on the dihedral degrees of freedom as indicators of conformational changes. To avoid the 'curse of dimension', the projection of the underlying Markov operator on each dihedral is analyzed according to its metastability. In each decomposition step of a recursive procedure, those significant dihedrals, which indicate high metastability, are used for further decomposition. The procedure is introduced as part of a hierarchical protocol of simulations at different temperatures. The convergence of simulations within metastable subsets is used as an 'a posteriori' criterion for a successful identification of metastability. All results are presented with the visualization program AmiraMol." 
650 4 |a Cluster analysis 
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700 1 |a Weber, Marcus  |d 1972-  |e Verfasser  |0 (DE-588)132289881  |4 aut 
700 1 |a Schmidt-Ehrenberg, Johannes  |e Verfasser  |4 aut 
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943 1 |a oai:aleph.bib-bvb.de:BVB01-016238560 

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author Cordes, Frank
Weber, Marcus 1972-
Schmidt-Ehrenberg, Johannes
author_GND (DE-588)132289881
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Weber, Marcus 1972-
Schmidt-Ehrenberg, Johannes
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author_sort Cordes, Frank
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j s e jse
building Verbundindex
bvnumber BV023034763
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discipline Informatik
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series2 ZIB-Report
spelling Cordes, Frank Verfasser aut
Metastable conformations via successive Perron-Cluster Cluster Analysis of dihedrals F. Cordes ; M. Weber ; J. Schmidt-Ehrenberg
Berlin Konrad-Zuse-Zentrum für Informationstechnik 2002
13 S. Ill., 1 graph. Darst.
txt rdacontent
n rdamedia
nc rdacarrier
ZIB-Report 2002,40
Abstract: "Decomposition of the high dimensional conformational space of biomolecules into metastable subsets is used for data reduction of long molecular trajectories in order to facilitate chemical analysis and to improve convergence of simulations within these subsets. The metastability is identified by the Perron-Cluster Cluster Analysis of a Markov process that describes the thermodynamic distribution. A necessary prerequisite of this analysis is the discretization of the conformational space. A combinatorial approach via discretization of each degree of freedom will end in the so called 'curse of dimension'. In the following paper we analyze Hybrid Monte Carlo simulations of small, drug-like biomolecules and focus on the dihedral degrees of freedom as indicators of conformational changes. To avoid the 'curse of dimension', the projection of the underlying Markov operator on each dihedral is analyzed according to its metastability. In each decomposition step of a recursive procedure, those significant dihedrals, which indicate high metastability, are used for further decomposition. The procedure is introduced as part of a hierarchical protocol of simulations at different temperatures. The convergence of simulations within metastable subsets is used as an 'a posteriori' criterion for a successful identification of metastability. All results are presented with the visualization program AmiraMol."
Cluster analysis
Markov processes
Weber, Marcus 1972- Verfasser (DE-588)132289881 aut
Schmidt-Ehrenberg, Johannes Verfasser aut
ZIB-Report 2002,40 (DE-604)BV013191727 2002,40
spellingShingle Cordes, Frank
Weber, Marcus 1972-
Schmidt-Ehrenberg, Johannes
Metastable conformations via successive Perron-Cluster Cluster Analysis of dihedrals
ZIB-Report
Cluster analysis
Markov processes
title Metastable conformations via successive Perron-Cluster Cluster Analysis of dihedrals
title_auth Metastable conformations via successive Perron-Cluster Cluster Analysis of dihedrals
title_exact_search Metastable conformations via successive Perron-Cluster Cluster Analysis of dihedrals
title_full Metastable conformations via successive Perron-Cluster Cluster Analysis of dihedrals F. Cordes ; M. Weber ; J. Schmidt-Ehrenberg
title_fullStr Metastable conformations via successive Perron-Cluster Cluster Analysis of dihedrals F. Cordes ; M. Weber ; J. Schmidt-Ehrenberg
title_full_unstemmed Metastable conformations via successive Perron-Cluster Cluster Analysis of dihedrals F. Cordes ; M. Weber ; J. Schmidt-Ehrenberg
title_short Metastable conformations via successive Perron-Cluster Cluster Analysis of dihedrals
title_sort metastable conformations via successive perron cluster cluster analysis of dihedrals
topic Cluster analysis
Markov processes
topic_facet Cluster analysis
Markov processes
volume_link (DE-604)BV013191727
work_keys_str_mv AT cordesfrank metastableconformationsviasuccessiveperronclusterclusteranalysisofdihedrals
AT webermarcus metastableconformationsviasuccessiveperronclusterclusteranalysisofdihedrals
AT schmidtehrenbergjohannes metastableconformationsviasuccessiveperronclusterclusteranalysisofdihedrals