Literature DB >> 3905378

Development of quantitative structure-pharmacokinetic relationships.

J M Mayer, H van de Waterbeemd.   

Abstract

Quantitative structure-activity relationships (QSAR) relating biological activity to physiochemical descriptors have been successfully used for a number of years. It is also long recognized that pharmacokinetic parameters may play an important and even determinant role in drug action. This prompted several researchers to focus attention to pharmacokinetic parameters as potential descriptors in quantitative drug design. A number of examples of quantitative structure-pharmacokinetic relationships (QSPR) have appeared in the literature. The present contribution reviews some developments in this field. In particular, a number of concepts and problems are critically discussed, rather than compilations of examples already published in recent reviews. Attention will be paid to the main processes of the pharmacokinetic or toxicokinetic phase in drug action, including absorption, distribution and elimination (biotransformation and excretion). It is clear that quantitative approaches are of considerable interest to toxicologists, since these methods may contribute to the development of real predictive toxicology.

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Year:  1985        PMID: 3905378      PMCID: PMC1568751          DOI: 10.1289/ehp.8561295

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  46 in total

1.  Physiochemical-activity relations in practice. 1. A rational and self-consistent data bank.

Authors:  F E Norrington; R M Hyde; S G Williams; R Wootton
Journal:  J Med Chem       Date:  1975-06       Impact factor: 7.446

2.  Further characterization of specific drug binding sites on human serum albumin.

Authors:  G Sudlow; D J Birkett; D N Wade
Journal:  Mol Pharmacol       Date:  1976-11       Impact factor: 4.436

Review 3.  Binding of drugs by albumin and plasma protein.

Authors:  J J Vallner
Journal:  J Pharm Sci       Date:  1977-04       Impact factor: 3.534

4.  Metabolic structure-activity relationship for a homologous series of phenacetin analogs.

Authors:  I M Kapetanović; J M Strong; J J Mieyal
Journal:  J Pharmacol Exp Ther       Date:  1979-04       Impact factor: 4.030

Review 5.  Drugs, diseases and altered gastric emptying.

Authors:  W S Nimmo
Journal:  Clin Pharmacokinet       Date:  1976       Impact factor: 6.447

Review 6.  Physiologically based pharmacokinetic modeling: principles and applications.

Authors:  L E Gerlowski; R K Jain
Journal:  J Pharm Sci       Date:  1983-10       Impact factor: 3.534

7.  Relationship between partition coefficients and apparent volumes of distribution for basic drugs. II.

Authors:  J Watanabe; A Kozaki
Journal:  Chem Pharm Bull (Tokyo)       Date:  1978-11       Impact factor: 1.645

8.  Hepatic clearance of drugs. I. Theoretical considerations of a "well-stirred" model and a "parallel tube" model. Influence of hepatic blood flow, plasma and blood cell binding, and the hepatocellular enzymatic activity on hepatic drug clearance.

Authors:  K S Pang; M Rowland
Journal:  J Pharmacokinet Biopharm       Date:  1977-12

9.  Antitumor 1-(X-aryl)-3,3-dialkyltriazenes. 2. On the role of correlation analysis in decision making in drug modification. Toxicity quantitative structure-activity relationships of 1-(X-phenyl)-3,3-dialkyltriazenes in mice.

Authors:  C Hansch; G J Hatheway; F R Quinn; N Greenberg
Journal:  J Med Chem       Date:  1978-06       Impact factor: 7.446

10.  Nitrosamine carcinogenicity: a quantitative Hansch-Taft structure-activity relationship.

Authors:  J S Wishnok; M C Archer; A S Edelman; W M Rand
Journal:  Chem Biol Interact       Date:  1978-01       Impact factor: 5.192

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  4 in total

Review 1.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

2.  QSAR models for the prediction of plasma protein binding.

Authors:  Taravat Ghafourian; Zeshan Amin
Journal:  Bioimpacts       Date:  2013-02-21

3.  Relationship between physicochemical and osteotropic properties of bisphosphonic derivatives: rational design for osteotropic drug delivery system (ODDS).

Authors:  H Hirabayashi; T Sawamoto; J Fujisaki; Y Tokunaga; S Kimura; T Hata
Journal:  Pharm Res       Date:  2001-05       Impact factor: 4.200

Review 4.  Machine Learning Applications for Chemical Reactions.

Authors:  Sanggil Park; Herim Han; Hyungjun Kim; Sunghwan Choi
Journal:  Chem Asian J       Date:  2022-05-30
  4 in total

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