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A Boolean network control algorithm guided by forward dynamic programming.
Moradi, Mohammad; Goliaei, Sama; Foroughmand-Araabi, Mohammad-Hadi.
Afiliación
  • Moradi M; Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran.
  • Goliaei S; Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran.
  • Foroughmand-Araabi MH; Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran.
PLoS One ; 14(5): e0215449, 2019.
Article en En | MEDLINE | ID: mdl-31048917
ABSTRACT
Control problem in a biological system is the problem of finding an interventional policy for changing the state of the biological system from an undesirable state, e.g. disease, into a desirable healthy state. Boolean networks are utilized as a mathematical model for gene regulatory networks. This paper provides an algorithm to solve the control problem in Boolean networks. The proposed algorithm is implemented and applied on two biological systems T-cell receptor network and Drosophila melanogaster network. Results show that the proposed algorithm works faster in solving the control problem over these networks, while having similar accuracy, in comparison to previous exact methods. Source code and a simple web service of the proposed algorithm is available at http//goliaei.ir/net-control/www/.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Irán
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