Please use this identifier to cite or link to this item: https://doi.org/10.1109/BIBMW.2010.5703939
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dc.titleComputational model of VEGF, thrombin and histamine signalling network
dc.contributor.authorWei, X.
dc.contributor.authorChen, Y.
dc.date.accessioned2014-10-29T02:01:11Z
dc.date.available2014-10-29T02:01:11Z
dc.date.issued2010
dc.identifier.citationWei, X., Chen, Y. (2010). Computational model of VEGF, thrombin and histamine signalling network. 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010 : 847-848. ScholarBank@NUS Repository. https://doi.org/10.1109/BIBMW.2010.5703939
dc.identifier.isbn9781424483044
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/106520
dc.description.abstractEndothelial permeability is involved in a number of diseases. Three key mediators, thrombin, histamine, and VEGF induce endothelial permeability partly via activating myosin light chain (MLC) via specific pathways. Quantitative analysis of the relevant signaling events are important for facilitating the understanding of the molecular mechanism and signaling dynamics leading to endothelial permeability. Ordinary differential equation (ODE) based mathematical models have been developed and used for simulating MLC activation by the thrombin-mediated pathway and by Ca2+ and MLCK. Additional mathematical models need to be developed to facilitate more comprehensive analysis of the signaling events and regulations in endothelial permeability. By extending the published simulation models, we reproduced simulation model of the thrombin-mediated pathway and developed new simulation models of the histamine-mediated and VEGF-mediated pathways, which were validated by available experimental and simulation results. ©2010 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/BIBMW.2010.5703939
dc.sourceScopus
dc.subjectEndothelial hyperpermeability
dc.subjectHistamine
dc.subjectPathway simulation
dc.subjectThrombin
dc.subjectVEGF
dc.typeConference Paper
dc.contributor.departmentPHARMACY
dc.description.doi10.1109/BIBMW.2010.5703939
dc.description.sourcetitle2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
dc.description.page847-848
dc.identifier.isiutNOT_IN_WOS
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