DocumentCode :
1548495
Title :
Stability Analysis of the Ribosome Flow Model
Author :
Margaliot, Michael ; Tuller, Tamir
Author_Institution :
Sch. of Electr. Eng., Tel-Aviv Univ., Tel-Aviv, Israel
Volume :
9
Issue :
5
fYear :
2012
Firstpage :
1545
Lastpage :
1552
Abstract :
Gene translation is a central process in all living organisms. Developing a better understanding of this complex process may have ramifications to almost every biomedical discipline. Recently, Reuveni et al. proposed a new computational model of this process called the ribosome flow model (RFM). In this study, we show that the dynamical behavior of the RFM is relatively simple. There exists a unique equilibrium point e and every trajectory converges to e. Furthermore, convergence is monotone in the sense that the distance to e can never increase. This qualitative behavior is maintained for any feasible set of parameter values, suggesting that the RFM is highly robust. Our analysis is based on a contraction principle and the theory of monotone dynamical systems. These analysis tools may prove useful in studying other properties of the RFM as well as additional intracellular biological processes.
Keywords :
cellular biophysics; genetics; physiological models; RFM; biomedical discipline; computational model; contraction principle; dynamical behavior; equilibrium point; gene translation; intracellular biological process; living organisms; monotone dynamical systems; ribosome flow model; stability analysis; Biological system modeling; Computational modeling; Equations; Indexes; Mathematical model; Trajectory; Vectors; Gene translation; computational models; monotone dynamical systems; systems biology; tridiagonal cooperative systems.; Models, Biological; Models, Theoretical; Ribosomes;
fLanguage :
English
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1545-5963
Type :
jour
DOI :
10.1109/TCBB.2012.88
Filename :
6226352
Link To Document :
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