Literature DB >> 10640503

Robust assessment of statistical significance in the use of unbound/intrinsic pharmacokinetic parameters in quantitative structure-pharmacokinetic relationships with lipophilicity.

A M Davis1, P J Webborn, D W Salt.   

Abstract

The optimization of pharmacokinetic properties remains one of the most challenging aspects of drug design. Key parameters, clearance and volume of distribution, are multifactorial, which makes deriving structure-pharmacokinetic relationships difficult. The correction of clearance and volume of distribution for the unbound fraction in plasma is one approach taken that has enabled quantitative structure-pharmacokinetic relationships to be derived. Three published data-sets where unbound parameters have been correlated with lipophilicity have been reanalyzed. The reanalysis has shown that high correlation coefficients can be achieved without any true correlation in the data and can lead to misinterpretation of the ways in which lipophilicity influences pharmacokinetics. Randomization procedures are proposed as a more robust method of assessing significance.

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Year:  2000        PMID: 10640503

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  4 in total

1.  Global Sensitivity Analysis of the Rodgers and Rowland Model for Prediction of Tissue: Plasma Partitioning Coefficients: Assessment of the Key Physiological and Physicochemical Factors That Determine Small-Molecule Tissue Distribution.

Authors:  Estelle Yau; Andrés Olivares-Morales; Michael Gertz; Neil Parrott; Adam S Darwich; Leon Aarons; Kayode Ogungbenro
Journal:  AAPS J       Date:  2020-02-03       Impact factor: 4.009

2.  Assessing drug distribution in tissues expressing P-glycoprotein using physiologically based pharmacokinetic modeling: identification of important model parameters through global sensitivity analysis.

Authors:  Frederique Fenneteau; Jun Li; Fahima Nekka
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-10-22       Impact factor: 2.745

Review 3.  Four Decades of β-Lactam Antibiotic Pharmacokinetics in Cystic Fibrosis.

Authors:  Jürgen B Bulitta; Yuanyuan Jiao; Stefanie K Drescher; Antonio Oliver; Arnold Louie; Bartolome Moya; Xun Tao; Mathias Wittau; Brian T Tsuji; Alexandre P Zavascki; Beom Soo Shin; George L Drusano; Fritz Sörgel; Cornelia B Landersdorfer
Journal:  Clin Pharmacokinet       Date:  2019-02       Impact factor: 6.447

4.  A Computational Pipeline to Predict Cardiotoxicity: From the Atom to the Rhythm.

Authors:  Pei-Chi Yang; Kevin R DeMarco; Parya Aghasafari; Mao-Tsuen Jeng; John R D Dawson; Slava Bekker; Sergei Y Noskov; Vladimir Yarov-Yarovoy; Igor Vorobyov; Colleen E Clancy
Journal:  Circ Res       Date:  2020-02-24       Impact factor: 17.367

  4 in total

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