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Showing 1 results for Boolean Modeling
K. Kavousi, A. R. Hamidi Zahedani,
Volume 10, Issue 3 (9-2019)
Abstract
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.
