On the number of driver nodes for controlling a Boolean network when the targets are restricted to attractors

被引:4
作者
Hou, Wenpin [1 ,2 ]
Ruan, Peiying [3 ]
Ching, Wai-Ki [2 ,4 ,5 ]
Akutsu, Tatsuya [6 ]
机构
[1] Johns Hopkins Univ, Dept Comp Sci, 3400 North Charles St, Baltimore, MD 21218 USA
[2] Univ Hong Kong, Dept Math, Adv Modeling & Appl Comp Lab, Pokfulam Rd, Hong Kong, Peoples R China
[3] NVIDIA, Deep Learning Solut Architect, Tokyo, Japan
[4] Hughes Hall,Wollaston Rd, Cambridge, England
[5] Beijing Univ Chem Technol, Sch Econ & Management, North Third Ring Rd, Beijing, Peoples R China
[6] Kyoto Univ, Inst Chem Res, Bioinformat Ctr, Kyoto, Japan
关键词
Boolean networks; Controllability; Coupon collector's problem; Driver nodes; LOGIC-BASED MODELS; SYSTEMS; GENES; CONTROLLABILITY; STABILIZATION; ALGORITHMS; STABILITY; CHAOS; SET;
D O I
10.1016/j.jtbi.2018.12.012
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
It is known that many driver nodes are required to control complex biological networks. Previous studies imply that O(N) driver nodes are required in both linear complex network and Boolean network models with N nodes if an arbitrary state is specified as the target. In order to cope with this intrinsic difficulty, we consider a special case of the control problem in which the targets are restricted to attractors. For this special case, we mathematically prove under the uniform distribution of states in basins that the expected number of driver nodes is only O(log(2)N + log(2)M) for controlling Boolean networks, where M is the number of attractors. Since it is expected that M is not very large in many practical networks, the new model requires a much smaller number of driver nodes. This result is based on discovery of novel relationships between control problems on Boolean networks and the coupon collector's problem, a well-known concept in combinatorics. We also provide lower bounds of the number of driver nodes as well as simulation results using artificial and realistic network data, which support our theoretical findings. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 11
页数:11
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