Please use this identifier to cite or link to this item: https://doi.org/10.1155/2013/854710
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dc.titleTranscriptional protein-protein cooperativity in POU/HMG/DNA complexes revealed by normal mode analysis
dc.contributor.authorWang, D.D
dc.contributor.authorYan, H
dc.date.accessioned2020-10-28T07:25:55Z
dc.date.available2020-10-28T07:25:55Z
dc.date.issued2013
dc.identifier.citationWang, D.D, Yan, H (2013). Transcriptional protein-protein cooperativity in POU/HMG/DNA complexes revealed by normal mode analysis. Computational and Mathematical Methods in Medicine 2013 : 854710. ScholarBank@NUS Repository. https://doi.org/10.1155/2013/854710
dc.identifier.issn1748670X
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/181831
dc.description.abstractBiomolecular cooperativity is of great scientific interest due to its role in biological processes. Two transcription factors (TFs), Oct-4 and Sox-2, are crucial in transcriptional regulation of embryonic stem cells. In this paper, we analyze how Oct-1 (a similar POU factor) and Sox-2, interact cooperatively at their enhancer binding sites in collective motions. Normal mode analysis (NMA) is implemented to study the collective motions of two complexes with each involving these TFs and an enhancer. The special structure of Oct proteins is analyzed comprehensively, after which each Oct/Sox group is reassembled into two protein pairs. We subsequently propose a segmentation idea to extract the most correlated segments in each pair, using correlations of motion magnitude curves. The median analysis on these correlation values shows the intimacy of subunit POUS (Oct-1) and Sox-2. Using those larger-than-median correlation values, we conduct statistical studies and propose several protein-protein cooperative modes (S and D) coupled with their subtypes. Additional filters are applied and similar results are obtained. A supplementary study on the rotation angle curves reaches an agreement with these modes. Overall, these proposed cooperative modes provide useful information for us to understand the complicated interaction mechanism in the POU/HMG/DNA complexes. © 2013 Debby D. Wang and Hong Yan.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjecthigh mobility group protein
dc.subjectoctamer transcription factor 1
dc.subjectoctamer transcription factor 4
dc.subjecttranscription factor POU
dc.subjecttranscription factor Sox2
dc.subjectDNA
dc.subjecthigh mobility group protein
dc.subjectmultiprotein complex
dc.subjectprotein binding
dc.subjecttranscription factor
dc.subjecttranscription factor POU
dc.subjecttranscription factor
dc.subjectarticle
dc.subjectbinding site
dc.subjectDNA binding
dc.subjectDNA protein complex
dc.subjectembryonic stem cell
dc.subjectmolecular dynamics
dc.subjectnormal mode analysis
dc.subjectpou hmg dna complex
dc.subjectprotein analysis
dc.subjectprotein protein interaction
dc.subjectprotein structure
dc.subjectanimal
dc.subjectchemical structure
dc.subjectchemistry
dc.subjectcomputer simulation
dc.subjectcytology
dc.subjectenhancer region
dc.subjectgenetics
dc.subjectmetabolism
dc.subjectmouse
dc.subjectprotein domain
dc.subjectprotein binding
dc.subjectAnimals
dc.subjectComputer Simulation
dc.subjectDNA
dc.subjectEmbryonic Stem Cells
dc.subjectEnhancer Elements, Genetic
dc.subjectHigh Mobility Group Proteins
dc.subjectMice
dc.subjectModels, Molecular
dc.subjectMolecular Dynamics Simulation
dc.subjectMultiprotein Complexes
dc.subjectPOU Domain Factors
dc.subjectProtein Binding
dc.subjectProtein Interaction Domains and Motifs
dc.subjectTranscription Factors
dc.subjectAnimals
dc.subjectComputer Simulation
dc.subjectDNA
dc.subjectEmbryonic Stem Cells
dc.subjectEnhancer Elements, Genetic
dc.subjectHigh Mobility Group Proteins
dc.subjectMice
dc.subjectModels, Molecular
dc.subjectMolecular Dynamics Simulation
dc.subjectMultiprotein Complexes
dc.subjectPOU Domain Factors
dc.subjectProtein Binding
dc.subjectProtein Interaction Domains and Motifs
dc.subjectTranscription Factors
dc.typeArticle
dc.contributor.departmentSAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
dc.description.doi10.1155/2013/854710
dc.description.sourcetitleComputational and Mathematical Methods in Medicine
dc.description.volume2013
dc.description.page854710
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