Modeling Signal Transduction Leading to Synaptic Plasticity: Evaluation and Comparison of Five Models. (22nd February 2011)

• Record Type: Journal Article
• Authors: Manninen, Tiina; Hituri, Katri; Toivari, Eeva; Linne, Marja-Leena
• Other Names: Wiuf Carsten Academic Editor.
• Is Part Of: EURASIP journal on bioinformatics and systems biology. Volume 2011(2011)
• Publication Date: 2011-02-22
• Subjects: Bioinformatics -- Periodicals; Systems biology -- Periodicals; Systems Biology; Signal Processing, Computer-Assisted; Bio-informatique; Biologie systémique; Bioinformatics; Systems biology; Systems Biology; Bioinformatics; Electronic journals; Periodical; Fulltext; Internet Resources; Periodicals; Periodicals; 570.285
• DOI: 10.1155/2011/797250
• Languages: English
• ISSNs: 1687-4145

Abstract

Abstract : An essential phenomenon of the functional brain is synaptic plasticity which is associated with changes in the strength of synapses between neurons. These changes are affected by both extracellular and intracellular mechanisms. For example, intracellular phosphorylation-dephosphorylation cycles have been shown to possess a special role in synaptic plasticity. We, here, provide the first computational comparison of models for synaptic plasticity by evaluating five models describing postsynaptic signal transduction networks. Our simulation results show that some of the models change their behavior completely due to varying total concentrations of protein kinase and phosphatase. Furthermore, the responses of the models vary when models are compared to each other. Based on our study, we conclude that there is a need for a general setup to objectively compare the models and an urgent demand for the minimum criteria that a computational model for synaptic plasticity needs to meet.