Attractor-Based Simultaneous Design of the Minimum Set of Control Nodes and Controllers in Boolean Networks ()
ABSTRACT
Design of control strategies for gene
regulatory networks is a challenging and important topic in systems biology. In
this paper, the problem of finding both a minimum set of control nodes (control
inputs) and a controller is studied. A control node corresponds to a gene that
expression can be controlled. Here, a Boolean network is used as a model of
gene regulatory networks, and control specifications on attractors, which
represent cell types or states of cells, are imposed. It is important to design
a gene regulatory network that has desired attractors and has no undesired
attractors. Using a matrix-based representation of BNs, this problem can be
rewritten as an integer linear programming problem. Finally, the proposed
method is demonstrated by a numerical example on a WNT5A network, which is
related to melanoma.
Share and Cite:
Kobayashi, K. (2016) Attractor-Based Simultaneous Design of the Minimum Set of Control Nodes and Controllers in Boolean Networks.
Applied Mathematics,
7, 1510-1520. doi:
10.4236/am.2016.714131.
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