Optimal intervention strategies for cyclic therapeutic methods. Academic Article

abstract

• External control of a genetic regulatory network is used for the purpose of avoiding undesirable states such as those associated with a disease. Certain types of cancer therapies, such as chemotherapy, are given in cycles with each treatment being followed by a recovery period. During the recovery period, the side effects tend to gradually subside. In this paper, it is shown how an optimal cyclic intervention strategy can be devised for any Markovian genetic regulatory network. The effectiveness of optimal cyclic therapies is demonstrated through numerical studies for random networks. Furthermore, an optimal cyclic policy is derived to control the behavior of a regulatory model of the mammalian cell-cycle network.

authors

• Chamberland-Tremblay, Jean-Francois
• Datta, Aniruddha
• Dougherty, Edward

published proceedings

• IEEE Trans Biomed Eng

author list (cited authors)

• Vahedi, G., Faryabi, B., Chamberland, J., Datta, A., & Dougherty, E. R.

citation count

• 33

complete list of authors

• Vahedi, Golnaz||Faryabi, Babak||Chamberland, Jean-Francois||Datta, Aniruddha||Dougherty, Edward R

publication date

• February 2009

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Biomedical Engineering  Journal

keywords

• Algorithms
• Antineoplastic Agents
• Computer Simulation
• Drug Administration Schedule
• Drug Therapy
• Gene Regulatory Networks
• Humans
• Markov Chains
• Models, Genetic
• Models, Statistical
• Neoplasms

PubMed Central ID

• 19272947

Digital Object Identifier (DOI)

• 10.1109/TBME.2008.2003092

start page

• 281

end page

• 291

volume

• 56

issue

• 2

URL

• http://dx.doi.org/10.1109/tbme.2008.2003092