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Article
Time-based switching control of genetic regulatory networks: Toward sequential drug intake for cancer therapy
Mechanical Engineering Faculty Publications
  • Wasiu Opeyemi Oduola, Prairie View A and M University
  • Xiangfang Li, Prairie View A and M University
  • Chang Duan, Prairie View A and M University
  • Lijun Qian, Prairie View A and M University
  • Fen Wu, NC State University
  • Edward R. Dougherty, Texas A&M University
Document Type
Article
Publication Date
1-1-2017
Abstract

As cancer growth and development typically involves multiple genes and pathways, combination therapy has been touted as the standard of care in the treatment of cancer. However, drug toxicity becomes a major concern whenever a patient takes 2 or more drugs simultaneously at the maximum tolerable dosage. A potential solution would be administering the drugs in a sequential or alternating manner rather than concurrently. This study therefore examines the feasibility of such an approach from a switched system control perspective. Particularly, we study how genetic regulatory systems respond to sequential (switched) drug inputs using the time-based switching mechanism. The design of the time-driven drug switching function guarantees the stability of the genetic regulatory system and the repression of the diseased genes. Simulation results using proof-ofconcept models and the proliferation and survival pathways with sequential drug inputs show the effectiveness of the proposed approach.

Citation Information
Wasiu Opeyemi Oduola, Xiangfang Li, Chang Duan, Lijun Qian, et al.. "Time-based switching control of genetic regulatory networks: Toward sequential drug intake for cancer therapy" (2017)
Available at: http://works.bepress.com/chang-duan/23/