tailieunhanh - Báo cáo hóa học: " Research Article Modeling Signal Transduction Leading to Synaptic Plasticity: Evaluation and Comparison of Five Models"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Modeling Signal Transduction Leading to Synaptic Plasticity: Evaluation and Comparison of Five Models | Hindawi Publishing Corporation EURASIP Journal on Bioinformatics and Systems Biology Volume 2011 Article ID 797250 11 pages doi 2011 797250 Research Article Modeling Signal Transduction Leading to Synaptic Plasticity Evaluation and Comparison of Five Models Tiina Manninen Katri Hituri Eeva Toivari and Marja-Leena Linne Department of Signal Processing Tampere University of Technology . Box553 33101 Tampere Finland Correspondence should be addressed to Tiina Manninen Received 1 November 2010 Revised 21 January 2011 Accepted 27 January 2011 Academic Editor Carsten Wiuf Copyright 2011 Tiina Manninen et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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. 1. Introduction Neurons respond to variations in extracellular and intracellular environment by modifying their synaptic and intrinsic membrane properties. When