Time-Based Switching Control of Genetic Regulatory Networks: Toward Sequential Drug Intake for Cancer Therapy

نویسندگان

  • Wasiu Opeyemi Oduola
  • Xiangfang Li
  • Chang Duan
  • Lijun Qian
  • Fen Wu
  • Edward R Dougherty
چکیده

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-of-concept models and the proliferation and survival pathways with sequential drug inputs show the effectiveness of the proposed approach.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

H∞ Sampled-Data Controller Design for Stochastic Genetic Regulatory Networks

Artificially regulating gene expression is an important step in developing new treatment for system-level disease such as cancer. In this paper, we propose a method to regulate gene expression based on sampled-data measurements of gene products concentrations. Inherent noisy behaviour of Gene regulatory networks are modeled with stochastic nonlinear differential equation. To synthesize feed...

متن کامل

Probabilistic Boolean Networks - The Modeling and Control of Gene Regulatory Networks

probabilistic boolean networks the modeling and control of probabilistic boolean networks the modeling and control of probabilistic boolean networks: the modeling and control probabilistic boolean networks society for industrial probabilistic boolean networks the modeling and control of probabilistic control of boolean networks with multiple from boolean to probabilistic boolean networks as mod...

متن کامل

Differential Impact of Sequential and Simultaneous Input Enhancement on Iranian EFL Learners’ Intake

This study set out to explore whether different input enhancement tasks as implicit instruction techniques had any significant impact on the intake of causative verbs in English as a foreign language among Iranian EFL learners. For this purpose, three intact classes consisting of 75 male and female intermediate L2 learners were randomly divided into three conditions: simultaneous grammar consci...

متن کامل

Adaptive Predictive Controllers Using a Growing and Pruning RBF Neural Network

An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.An Unscented Kal...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 16  شماره 

صفحات  -

تاریخ انتشار 2017