Phenotype Control of Partially Specified Boolean Networks

• Authors: BENEŠ Nikola; BRIM Luboš; PASTVA Samuel; ŠAFRÁNEK David; ŠMIJÁKOVÁ Eva
• Year of publication: 2023
• Type: Article in Proceedings
• Conference: Computational Methods in Systems Biology
• MU Faculty or unit: Faculty of Informatics
• web: https://link.springer.com/chapter/10.1007/978-3-031-42697-1_2
• Doi: http://dx.doi.org/10.1007/978-3-031-42697-1_2
• Keywords: Boolean networks;Partial specification;Permanent control;Phenotype;Perturbation;Symbolic algorithm
• Description: Partially specified Boolean networks (PSBNs) represent a promising framework for the qualitative modelling of biological systems in which the logic of interactions is not completely known. Phenotype control aims to stabilise the network in states exhibiting specific traits. In this paper, we define the phenotype control problem in the context of asynchronous PSBNs and propose a novel semi-symbolic algorithm for solving this problem with permanent variable perturbations.

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