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BioMed Research International
Volume 2013 (2013), Article ID 246761, 11 pages
http://dx.doi.org/10.1155/2013/246761
Research Article

Optimal Control of Gene Regulatory Networks with Effectiveness of Multiple Drugs: A Boolean Network Approach

School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa 923-1292, Japan

Received 30 April 2013; Revised 25 June 2013; Accepted 12 July 2013

Academic Editor: Lei Chen

Copyright © 2013 Koichi Kobayashi and Kunihiko Hiraishi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [11 citations]

The following is the list of published articles that have cited the current article.

  • Koichi Kobayashi, and Kunihiko Hiraishi, “A Probabilistic Approach to Control of Complex Systems and Its Application to Real-Time Pricing,” Mathematical Problems in Engineering, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Koichi Kobayashi, and Kunihiko Hiraishi, “Verification and Optimal Control of Context-Sensitive Probabilistic Boolean Networks Using Model Checking and Polynomial Optimization,” The Scientific World Journal, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Iman Habibi, Effat S Emamian, and Ali Abdi, “Quantitative analysis of intracellular communication and signaling errors in signaling networks,” BMC Systems Biology, vol. 8, no. 1, pp. 89, 2014. View at Publisher · View at Google Scholar
  • Koichi Kobayashi, and Kunihiko Hiraishi, “Structural Control of Probabilistic Boolean Networks and Its Application to Design of Real-Time Pricing Systems,” IFAC Proceedings Volumes, vol. 47, no. 3, pp. 2442–2447, 2014. View at Publisher · View at Google Scholar
  • Koichi Kobayashi, and Kunihiko Hiraishi, “Optimal Control of Probabilistic Logic Networks and Its Application to Real-Time Pricing of Electricity,” Mathematical Problems in Engineering, vol. 2015, pp. 1–10, 2015. View at Publisher · View at Google Scholar
  • Shun-Ichi Azuma, Toshiharu Sugie, and Takahiro Yoshida, “Structural monostability of activation-inhibition boolean networks,” IEEE Transactions on Control of Network Systems, vol. PP, no. 99, 2015. View at Publisher · View at Google Scholar
  • Michael Kohl, Gerhard Mayer, Katrin Marcus, and Martin Eisenacher, “Boolean modeling techniques for protein co-expression networks in systems medicine,” Expert Review of Proteomics, vol. 13, no. 6, pp. 555–569, 2016. View at Publisher · View at Google Scholar
  • Koichi Kobayashi, “Attractor-Based Simultaneous Design of the Minimum Set of Control Nodes and Controllers in Boolean Networks,” Applied Mathematics, vol. 07, no. 14, pp. 1510–1520, 2016. View at Publisher · View at Google Scholar
  • Elaina M. Maldonado, Vytautas Leoncikas, Ciarán P. Fisher, J. Bernadette Moore, Nick J. Plant, and Andrzej M. Kierzek, “Integration of Genome Scale Metabolic Networks and Gene Regulation of Metabolic Enzymes With Physiologically Based Pharmacokinetics,” CPT: Pharmacometrics & Systems Pharmacology, 2017. View at Publisher · View at Google Scholar
  • Koichi Kobayashi, and Kunihiko Hiraishi, “Design of Probabilistic Boolean Networks Based on Network Structure and Steady-State Probabilities,” IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 8, pp. 1966–1971, 2017. View at Publisher · View at Google Scholar
  • Koichi Kobayashi, and Kunihiko Hiraishi, “Optimization-Based Approaches to Control of Probabilistic Boolean Networks,” Algorithms, vol. 10, no. 1, pp. 31, 2017. View at Publisher · View at Google Scholar