Journal of Theoretical BiologySystems BiologyPeer-reviewed journal article
On the Number of Driver Nodes for Controlling a Boolean Network to Attractors
Wenpin HouiD, Peiying Ruan, Wai‐Ki ChingiD, Tatsuya AkutsuiD
Abstract
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 this paper, we mathematically prove under a reasonable assumption that the expected number of driver nodes is only O(log2 N + log2 M) for controlling Boolean networks if the targets are restricted to attractors, where M is the number of attractors. Since it is expected that M is not very large in many practical networks, this is a significant improvement. This result is based on discovery of novel relationships between control problems on Boolean networks and the coupon collectors 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.
- Citations
- 8
- FWCI
- 0.36
- Field percentile
- top 44%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- An intuitive method to visualize Boolean network attractors landscape based on probability distribution from trajectories
Ket Hing Chong·bioRxiv·Oct 31, 2024
- The attractor landscape of duplicated networks
Enrico Borriello·bioRxiv·Jan 30, 2023
- Succession-diagram-based Markov chains reveal the attractor landscape of asynchronous Boolean networks
Kyu Hyong Park, Réka Albert·npj Systems Biology and ApplicationsPeer-reviewed·Apr 17, 2026
- Clustering Compresses Attractors in Watts-Strogatz Threshold Boolean Networks
Maram Alqarni, Mark Cooper, … James Lefevre·Journal of Complex NetworksPeer-reviewed·Jun 9, 2026
- Target Control in Logical Models Using the Domain of Influence of Nodes
Gang Yang, Jorge Gómez Tejeda Zañudo, Réka Albert·Frontiers in PhysiologyPeer-reviewed·May 8, 2018
- Mapping the attractor landscape of Boolean networks
Van-Giang Trinh, Kyu Hyong Park, … Jordan C. Rozum·bioRxiv·Sep 30, 2024