Go to content
UR Home

Photosensing in LOV domains: a computational study of signal transduction pathways

Stambolić, Ivan (2018) Photosensing in LOV domains: a computational study of signal transduction pathways. PhD, Universität Regensburg.

[img]
Preview
License: Creative Commons Attribution 4.0
PDF
Download (29MB)
Date of publication of this fulltext: 06 Apr 2018 06:35

Abstract (English)

Light-, Oxygen- and Votlage- (LOV) domains are blue-light activated photoreceptors that control various functions in plants and algae. They contain a non-covalently bound flavin mononucleotide (FMN) in their protein core. Upon blue-light illumination, the LOV domains undergo a reversible hotocycle. This photocycle is spectroscopically well understood, however the structural aspects of it are ...

plus

Translation of the abstract (German)

Light, Oxygen- und Voltage (LOV) Domänen sind Blaulicht aktivierte Photorezeptoren, die verschiedene Funktionen in Plazen und Algen kontrolieren. Bei Anregung mit blauem Licht folgt die LOV Domäne einem reversiblen Photozyklus. Der komplette Signalübertragungsweg der LOV Domänen ist immer noch nicht verstanden. In dieser Arbeit wird der Signalübertragungsweg von RsLOV, Rac1, Rac1b und deren ...

plus


Export bibliographical data



Item type:Thesis of the University of Regensburg (PhD)
Date:4 April 2018
Referee:Prof. Dr. Bernhard Dick and Prof. Dr. Dominik Horinek
Date of exam:29 March 2017
Institutions:Chemistry and Pharmacy > Institut für Physikalische und Theoretische Chemie
Keywords:LOV, domain, signal, transduction, pathway, electron, transfer
Dewey Decimal Classification:500 Science > 500 Natural sciences & mathematics
500 Science > 540 Chemistry & allied sciences
500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:36957
Owner only: item control page

Downloads

Downloads per month over past year

  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons