Title :
Signal transduction ability measurement of signaling pathways in intracellular communication via fuzzy method
Author :
Wu, Chia-Chou ; Chen, Bor-Sen
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
Signal transduction plays an important role in biological organisms. Here, we proposed a method to access the information of the signal transduction ability of signal transduction pathway in the cells. Due to the nonlinear signal transduction pathway model, we have to solve the Hamilton-Jacobi inequalities (HJIs) to get the measurement. Instead of directly solving HJIs, fuzzy interpolation method was employed such that we can systematically measure signal transduction ability by solving the linear matrix inequalities (LMIs). The measurement will provide an insight to the characteristics of the signal transduction networks.
Keywords :
Jacobian matrices; cellular biophysics; fuzzy reasoning; interpolation; Hamilton-Jacobi inequalities; biological organisms; fuzzy interpolation method; intracellular communication; linear matrix inequalities; nonlinear signal transduction pathway model; signal transduction ability measurement; signal transduction networks; signaling pathways; Interpolation; Mathematical model; Nonlinear dynamical systems; Optimization; Proteins; Upper bound; MAP kinase cascades; T-S fuzzy model; fuzzy interpolation; linear matrix inequalities (LMIs); signal transduction ability;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007659