Please use this identifier to cite or link to this item: https://doi.org/10.1107/S0907444906046762
DC FieldValue
dc.titleComputational analyses of the surface properties of protein-protein interfaces
dc.contributor.authorGruber, J
dc.contributor.authorZawaira, A
dc.contributor.authorSaunders, R
dc.contributor.authorBarrett, C.P
dc.contributor.authorNoble, M.E.M
dc.date.accessioned2020-10-27T07:02:56Z
dc.date.available2020-10-27T07:02:56Z
dc.date.issued2006
dc.identifier.citationGruber, J, Zawaira, A, Saunders, R, Barrett, C.P, Noble, M.E.M (2006). Computational analyses of the surface properties of protein-protein interfaces. Acta Crystallographica Section D: Biological Crystallography 63 (1) : 50-57. ScholarBank@NUS Repository. https://doi.org/10.1107/S0907444906046762
dc.identifier.issn0907-4449
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/181052
dc.description.abstractSeveral potential applications of structural biology depend on discovering how one macromolecule might recognize a partner. Experiment remains the best way to answer this question, but computational tools can contribute where this fails. In such cases, structures may be studied to identify patches of exposed residues that have properties common to interaction surfaces and the locations of these patches can serve as the basis for further modelling or for further experimentation. To date, interaction surfaces have been proposed on the basis of unusual physical properties, unusual propensities for particular amino-acid types or an unusually high level of sequence conservation. Using the CXXSurface toolkit, developed as a part of the CCP4MG program, a suite of tools to analyse the properties of surfaces and their interfaces in complexes has been prepared and applied. These tools have enabled the rapid analysis of known complexes to evaluate the distribution of (i) hydrophobicity, (ii) electrostatic complementarity and (iii) sequence conservation in authentic complexes, so as to assess the extent to which these properties may be useful indicators of probable biological function. © International Union of Crystallography 2007.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectprotein
dc.subjectbiology
dc.subjectchemical structure
dc.subjectchemistry
dc.subjectcomputer program
dc.subjectconference paper
dc.subjectconformation
dc.subjectcrystallization
dc.subjectelectricity
dc.subjectmacromolecule
dc.subjectmethodology
dc.subjectprotein analysis
dc.subjectprotein binding
dc.subjectprotein conformation
dc.subjectprotein secondary structure
dc.subjectSrc homology domain
dc.subjectstatistical model
dc.subjectsurface property
dc.subjectComputational Biology
dc.subjectCrystallization
dc.subjectElectrostatics
dc.subjectMacromolecular Substances
dc.subjectModels, Molecular
dc.subjectModels, Statistical
dc.subjectMolecular Conformation
dc.subjectProtein Binding
dc.subjectProtein Conformation
dc.subjectProtein Interaction Mapping
dc.subjectProtein Structure, Secondary
dc.subjectProteins
dc.subjectSoftware
dc.subjectsrc Homology Domains
dc.subjectSurface Properties
dc.typeConference Paper
dc.contributor.departmentYALE-NUS COLLEGE
dc.description.doi10.1107/S0907444906046762
dc.description.sourcetitleActa Crystallographica Section D: Biological Crystallography
dc.description.volume63
dc.description.issue1
dc.description.page50-57
dc.published.statePublished
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