Metal ion - Dehydrin interactions investigated by affinity capillary electrophoresis and computer models
Copyright © 2017 Elsevier GmbH. All rights reserved.
Veröffentlicht in: | Journal of plant physiology. - 1979. - 216(2017) vom: 15. Sept., Seite 219-228 |
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1. Verfasser: | |
Weitere Verfasser: | , , , , , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2017
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Zugriff auf das übergeordnete Werk: | Journal of plant physiology |
Schlagworte: | Journal Article Affinity capillary electrophoresis AtHIRD11 Dehydrin Intrinsically disordered proteins Molecular model Arabidopsis Proteins HIRD11 protein, Arabidopsis Ions Metals mehr... |
Zusammenfassung: | Copyright © 2017 Elsevier GmbH. All rights reserved. Dehydrins are specialized proteins which are related to environmental stress tolerance in plants. The proteins can bind different metal ions and have versatile other functions such as reduction of reactive oxygen species and acting as transcription factor. The structure determination of proteins from this family is challenging, since they have a high number of disordered structure elements. Consequently, to determine the functionality of these proteins on a molecular basis a computed model is helpful. This work focuses on a model for the Arabidopsis thaliana dehydrin AtHIRD11. To develop a model which reflects experimental data from literature and own binding data from affinity capillary electrophoresis experiments, a more rigid state of this protein was chosen. The Cu2+-complex of this protein was formed and evaluated. The model explains some of the properties of the complexes. Possible Cu2+-bindings site were found and the change of conformations were investigated via molecular dynamics simulation. The AtHIRD11-Cu2+-complex is a first approach towards a complex model for a structural versatile protein, which is already sufficient to explain binding data and possible structure elements |
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Beschreibung: | Date Completed 22.01.2018 Date Revised 30.09.2020 published: Print-Electronic Citation Status MEDLINE |
ISSN: | 1618-1328 |
DOI: | 10.1016/j.jplph.2017.06.006 |