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