Literature DB >> 21095860

Characterization of drug efficacy regions based on dosage and frequency schedules.

Xiangfang Lindsey Li1, Lijun Qian, Michael L Bittner, Edward R Dougherty.   

Abstract

This paper proposes a framework to study the drug effect at the molecular level in order to address the following question of current interest in the drug community: Given a fixed total delivered drug, which is better, frequent small or infrequent large drug dosages? A hybrid system model is proposed to link the drug's pharmacokinetic and pharmacodynamic information, and allows the drug effects for different dosages and treatment schedules to be compared. A hybrid model facilitates the modeling of continuous quantitative changes that leads to discrete transitions. An optimal dosage-frequency regimen and the necessary and sufficient conditions for the drug to be effective are obtained analytically when the drug is designed to control a target gene. Then, we extend the analysis to the case where the target gene is part of a genetic regulatory network. A crucial observation is that there exists a "sweet spot," defined as the "drug efficacy region (DER)" in this paper, for certain dosage and frequency arrangements given the total delivered drug. This paper quantifies the therapeutic benefits of dosage regimen lying within the DER. Simulations are performed using MATLAB/SIMULINK to validate the analytical results.

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Year:  2010        PMID: 21095860     DOI: 10.1109/TBME.2010.2090660

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

Review 1.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

2.  A dose-response meta-analysis of the association between the maternal omega-3 long-chain polyunsaturated fatty acids supplement and risk of asthma/wheeze in offspring.

Authors:  Yin Jia; Yafang Huang; Huili Wang; Haili Jiang
Journal:  BMC Pediatr       Date:  2022-07-16       Impact factor: 2.567

3.  A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens-a Modeling Study of Drug Effects on Tumor Growth using Hybrid Systems.

Authors:  Xiangfang Li; Lijun Qian; Michale L Bittner; Edward R Dougherty
Journal:  Cancer Inform       Date:  2012-02-27

Review 4.  Review of stochastic hybrid systems with applications in biological systems modeling and analysis.

Authors:  Xiangfang Li; Oluwaseyi Omotere; Lijun Qian; Edward R Dougherty
Journal:  EURASIP J Bioinform Syst Biol       Date:  2017-06-30

5.  Assessing the efficacy of molecularly targeted agents on cell line-based platforms by using system identification.

Authors:  Xiangfang Li; Lijun Qian; Jianping Hua; Michael L Bittner; Edward R Dougherty
Journal:  BMC Genomics       Date:  2012-10-26       Impact factor: 3.969

6.  Dynamical modeling of drug effect using hybrid systems.

Authors:  Xiangfang Li; Lijun Qian; Edward R Dougherty
Journal:  EURASIP J Bioinform Syst Biol       Date:  2012-12-26

Review 7.  Integrating Multiscale Modeling with Drug Effects for Cancer Treatment.

Authors:  Xiangfang L Li; Wasiu O Oduola; Lijun Qian; Edward R Dougherty
Journal:  Cancer Inform       Date:  2016-01-13
  7 in total

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