• DocumentCode
    3252252
  • Title

    Robust identification of molecularly targeted drug effect coefficient using H∞ filter

  • Author

    Lijun Qian ; Xiangfang Li ; Dougherty, Edward

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Prairie View A&M Univ., Prairie View, TX, USA
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    99
  • Lastpage
    102
  • Abstract
    In recent years, targeted therapy to treat cancer is gaining popularity. However, how to quantitatively and dynamically analyze the drug effect for molecularly targeted agents is quite different from traditional cytotoxic drugs. A novel preclinical model combining experimental methods and theoretical analysis is proposed to investigate the mechanisms of action and identify pharmacodynamic characteristic of a targeted drug. A robust estimator, namely the H∞ filter, is applied to time-course data of tumor cells´ responses to drugs. The results show strong correlation between dosage and drug effect coefficient. The proposed method will help us gain more comprehensive understanding of the molecular mechanisms of action of drugs and design better dosing regimens for targeted therapy.
  • Keywords
    cancer; cellular biophysics; drug delivery systems; drugs; filtering theory; molecular biophysics; toxicology; tumours; H∞ filter; cancer treatment; cytotoxic drugs; drug effect coefficient; molecular mechanisms; molecularly targeted drug effect coefficient; pharmacodynamic characteristic; robust estimator; robust identification; targeted therapy; time-course data; tumor cells; Cancer; Drugs; Estimation error; Kalman filters; Noise; Robustness; Uncertainty; H∞ filter; drug effect; molecularly targeted agents; robust identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2013.6736824
  • Filename
    6736824