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dc.contributor.author
Deiber, Julio Alcides
dc.contributor.author
Piaggio, María Virginia
dc.contributor.author
Peirotti, Marta Beatriz
dc.date.available
2019-05-15T17:40:11Z
dc.date.issued
2011-10
dc.identifier.citation
Deiber, Julio Alcides; Piaggio, María Virginia; Peirotti, Marta Beatriz; Global conformations of proteins as predicted from the modeling of their CZE mobility data; Wiley VCH Verlag; Electrophoresis; 32; 20; 10-2011; 2779-2787
dc.identifier.issn
0173-0835
dc.identifier.uri
http://hdl.handle.net/11336/76393
dc.description.abstract
Estimations of protein global conformations in well-specified physicochemical microenvironments are obtained through global structural parameters defined from polypeptide-scale analyses. For this purpose protein electrophoretic mobility data must be interpreted through a physicochemical CZE model to obtain estimates of protein equivalent hydrodynamic radius, effective and total charge numbers, hydration, actual ionizing pK and pH-near molecule. The electrical permittivity of protein domain is also required. In this framework, the solvent drag on proteins is obtained via the characteristic friction power coefficient associated with the number of amino acid residues defining the global chain conformation in solution. Also, the packing dimension related to the spatial distribution of amino acid residues within the protein domain is evaluated and discussed. These scaling coefficients together with the effective and total charge number fractions of proteins provide relevant interpretations of protein global conformations mainly from collapsed globule to hybrid chain regimes. Also, protein transport properties may be estimated within this framework. In this regard, the central role played by the friction power coefficient in the evaluation of these properties is highlighted.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley VCH Verlag
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Chain Packing Dimension
dc.subject
Effective Protein Charge Number Fraction
dc.subject
Electrophoretic Mobility Modeling
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Friction Power Coefficient
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Protein Global Conformations
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Otras Ciencias Químicas
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Ciencias Químicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Global conformations of proteins as predicted from the modeling of their CZE mobility data
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-05-14T14:05:56Z
dc.journal.volume
32
dc.journal.number
20
dc.journal.pagination
2779-2787
dc.journal.pais
Alemania
dc.journal.ciudad
Weinheim
dc.description.fil
Fil: Deiber, Julio Alcides. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
dc.description.fil
Fil: Piaggio, María Virginia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
dc.description.fil
Fil: Peirotti, Marta Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
dc.journal.title
Electrophoresis
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/elps.201100016
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