Physiologically based pharmacokinetic modeling as a tool for drug development-Reference-Cited by-同舟云学术

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Physiologically based pharmacokinetic modeling as a tool for drug development

Published:1995-04 Issue:2 Volume:23 Page:217-229
ISSN:0090-466X
Container-title:Journal of Pharmacokinetics and Biopharmaceutics
language:en
Short-container-title:Journal of Pharmacokinetics and Biopharmaceutics

Author:

Charnick Steven B.,Kawai Ryosei,Nedelman Jerry R.,Lemaire Michel,Niederberger Werner,Sato Hitoshi

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),General Pharmacology, Toxicology and Pharmaceutics

Link

http://link.springer.com/content/pdf/10.1007/BF02354273.pdf

Reference70 articles.

1. A. S. Hussain, R. D. Johnson, N. N. Vachharajani, and W. A. Ritschel. Feasibility of developing a neural network for prediction of human pharmacokinetic parameters from animal data.Pharm. Res. 10:466–469 (1993).

2. P. Veng-Pedersen and N. B. Modi. Neural networks in pharmacodynamic modeling. Is current modeling practice of complex kinetic systems at a dead end?J. Pharmacokin. Biopharm. 20:397–412 (1992).

3. A. S. Hussain, X. Yu, and R. D. Johnson. Application of neural computing in pharmaceutical product development.Pharm. Res. 8:1248–1252 (1991).

4. R. S. Markin, W. J. Murray, and H. Boxenbaum. Quantitative structure-activity study on human pharmacokinetic parameters of benzodiazepines using the graph theoretical approach.Pharm. Res. 5:201–208 (1988).

5. E. Gifford, M. Johnson, and C.-C. Tsai. A graph-theoretic approach to modeling metabolic pathways.J. Comp. Aid. Mol. Dis. 5:(1991).

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