This modified grant proposal develops methods to address the complexity of modern Pharmacokinetics/Pharmacodynamics (PKPD) population studies focusing on computational PKPD and modeling of complex PKPD systems.
AIM 1, Statistical Estimation Methods for Population PK/PD Data, develops improved estimation methods for population PKPD models, and general methods to incorporate patients compliance behavior and uncertain dosing history into PKPD models.
AIM 2, Modeling System- PKPD, proposes two specific projects modeling system level PKPD across multiple organs, in particular for Cocaine/Nicotine PKPD and addiction dynamics modeling, and drug absorption physiological modeling.
AIM 3, Population Stochastic Differential Equations (SDE), investigates novel approaches to population model building that are based on the use of stochastic differential equation, in particular investigating methodology to include covariates into population PKPD modelsm, and apply SDE to drug-absortion modeling.

Public Health Relevance

of the research we propose consists in providing state of the art methodology to aid in the development of drugs, increasing the understanding of their pharmacokinetcs and pharmacodynamics, and the factors that explain their action in populations and individuals.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
2R01GM026676-28
Application #
7582461
Study Section
Special Emphasis Panel (ZRG1-HOP-T (02))
Program Officer
Okita, Richard T
Project Start
1979-09-01
Project End
2011-08-31
Budget Start
2009-09-15
Budget End
2010-08-31
Support Year
28
Fiscal Year
2009
Total Cost
$115,232
Indirect Cost
Name
University of California San Francisco
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
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Zhang, Liping; Beal, Stuart L; Sheinerz, Lewis B (2003) Simultaneous vs. sequential analysis for population PK/PD data II: robustness of methods. J Pharmacokinet Pharmacodyn 30:405-16

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