Volume 10, Issue 3 (2019)
JMBS 2019, 10(3): 363-371 |
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Kavousi K, Hamidi Zahedani A R. Reduction and Finding of Attractors in ABA Signaling Pathway Network by Boolean Modeling. JMBS 2019; 10 (3) :363-371
URL: http://biot.modares.ac.ir/article-22-14507-en.html
URL: http://biot.modares.ac.ir/article-22-14507-en.html
1- Biochemistry & Biophysics Research Center, University of Tehran, Tehran, Iran, Bioinformatics Department, Institute of Biochemistry & Biophysics, University of Tehran, Ghods Street, Enghelab Street , kkavousi@ut.ac.ir
2- Biochemistry & Biophysics Research Center, University of Tehran, Tehran, Iran
2- Biochemistry & Biophysics Research Center, University of Tehran, Tehran, Iran
Abstract: (6923 Views)
The large biological networks increase computational complexity during the execution of the algorithm and create constraints for working with such networks. By preserving the behavior and output of the main network, complexity is reduced, and the process of obtaining results and analyzing the network is quickly accomplished. Using mathematical and computational tools to simplify the biology networks provides better results in various sciences, especially in applications of biological sciences. Boolean modelling and finding adsorbents in biological networks will make it easy to display and analyze. This study was carried out through Boolean modelling on the Abscise Acid signal transduction network. Abscise Acid is one of the most important and effective regulators in plant growth. Our method started from an initial state and according to the rules of updating, found network adsorbents. Our proposed method, in contrast to other methods, will be able to simultaneously detect the absorbing points while plotting the state transition graph. In this way, finding all the system adsorbents is guaranteed.
Subject:
Agricultural Biotechnology
Received: 2017/10/10 | Accepted: 2018/01/1 | Published: 2019/09/21
Received: 2017/10/10 | Accepted: 2018/01/1 | Published: 2019/09/21
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