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Comparison of full-atomic and coarse-grained models to examine the molecular fluctuations of c-AMP dependent protein kinase

dc.contributor.coauthorN/A
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.facultymemberYes
dc.contributor.kuauthorKeskin, Özlem
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T23:15:03Z
dc.date.issued2002
dc.description.abstractMolecular fluctuations of the native conformation of c-AMP dependent protein kinase (cAPK) have been investigated with three different approaches. The first approach is the full atomic normal mode analysis (NMA) with empirical force fields. The second and third approaches are based on a coarse-grained model with a single single-parameter- harmonic potential between close residues in the crystal structure of the molecule without any residue specificity. The second method calculates only the magnitude of fluctuations whereas the third method is developed to find the directionality of the fluctuations which are essential to understand the functional importance of biological molecules. The aim, in this study, is to determine whether using such coarse-grained models are appropriate for elucidating the global dynamic characteristics of large proteins which reduces the size of the system at least by a factor of ten. The mean-square fluctuations of Cα atoms and the residue cross-correlations are obtained by three approaches. These results are then compared to test the results of coarse grained models on the overall collective motions. AH three of the approaches show that highly flexible regions correspond to the activation and solvent exposed loops, whereas the conserved residues (especially in substrate binding regions) exhibit almost no flexibility, adding stability to the structure. The anti-correlated motions of the two lobes of the catalytic core provide flexibility to the molecule. High similarities among the results of these methods indicate that the slowest modes governing the most global motions are preserved in the coarse grained models for proteins. This finding may suggest that the general shapes of the structures are representative of their dynamic characteristics and the dominant motions of protein structures are robust at coarse-grained levels.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessNO
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.studentonlypublicationNo
dc.description.studentpublicationNo
dc.description.versionN/A
dc.identifier.WoSQuartileQ4
dc.identifier.doi10.1080/07391102.2002.10506852
dc.identifier.eissn1538-0254
dc.identifier.embargoN/A
dc.identifier.endpage345
dc.identifier.issn0739-1102
dc.identifier.issue3
dc.identifier.pubmed12437372
dc.identifier.scopus2-s2.0-0036908492
dc.identifier.startpage333
dc.identifier.urihttps://doi.org/10.1080/07391102.2002.10506852
dc.identifier.urihttps://hdl.handle.net/20.500.14288/10262
dc.identifier.volume20
dc.identifier.wos000180011500007
dc.keywordscAMP-dependent protein kinas
dc.keywordsCoarse-grained model
dc.keywordsNormal mode analysis
dc.keywordsProtein dynamics
dc.keywordsMolecular fluctuations
dc.keywordsElastic network model
dc.keywordsCollective motions
dc.language.isoeng
dc.publisherAdenine Press
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofJournal of Biomolecular Structure and Dynamics
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectComputational biophysics
dc.subjectStructural bioinformatics
dc.subjectPhysical chemistry
dc.subjectMolecular modeling
dc.titleComparison of full-atomic and coarse-grained models to examine the molecular fluctuations of c-AMP dependent protein kinase
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorKeskin, Özlem
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relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

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