Interpretation of binding kinetics in fluorescence recovery after photobleaching experiments using a novel stochastic simulation strategy

dc.contributor.author	Γκλώτσος, Δημήτριος	el
dc.contributor.author	Κωστόπουλος, Σπυρίδων	el
dc.contributor.author	Νίνος, Κωνσταντίνος Δ.	el
dc.contributor.author	Κάβουρας, Διονύσης Α.	el
dc.date.accessioned	2015-05-13T12:12:19Z
dc.date.available	2015-05-13T12:12:19Z
dc.date.issued	2015-05-13
dc.identifier.uri	http://hdl.handle.net/11400/10288
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.tandfonline.com/doi/abs/10.1080/08927020903015353	en
dc.subject	Binding
dc.subject	Kinetics
dc.subject	Διαδικασία σύνδεσης
dc.subject	Κινητική
dc.title	Interpretation of binding kinetics in fluorescence recovery after photobleaching experiments using a novel stochastic simulation strategy	en
heal.type	journalArticle
heal.classification	Medicine
heal.classification	Biomedical engineering
heal.classification	Ιατρική
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.identifier.secondary	DOI: 10.1080/08927020903015353
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2009
heal.bibliographicCitation	Glotsos, D., Kostopoulos, S., Ninos, K. and Cavouras, D. (2009). Interpretation of binding kinetics in fluorescence recovery after photobleaching experiments using a novel stochastic simulation strategy. Molecular Simulation. 35(14). pp. 1209-1214. Taylor & Francis: 2009. Available from: http://www.tandfonline.com/doi/abs/10.1080/08927020903015353 [Accessed 12/10/2009]	en
heal.abstract	Fluorescence recovery after photobleaching (FRAP) has been extensively used for monitoring the binding kinetics of proteins with a goal to investigate the cellular processes, such as transcriptional regulation, cell membrane diffusion and signal transduction. In this study, a new approach for the interpretation of FRAP curves is presented based on the stochastic simulation of binding kinetics. The proposed method considers that proteins (a) randomly diffuse in a Brownian random-walk manner and (b) react with certain probability with compatible empty binding sites in a homogeneous well-stirred chemical environment. The proposed algorithm was compared with standard deterministic methods that are currently being used for analysis of FRAP curves. Predictions of recovery times of FRAP curves and sum of residuals revealed a good agreement. The stochastic simulation algorithm presents a firmer physical basis than its deterministic counterparts and it might be used to successfully model probabilistic events in the cell, deciphering information in FRAP experiments that cannot be computed using deterministic models.	de
heal.publisher	Taylor & Francis	en
heal.journalName	Molecular Simulation	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true