Literature DB >> 25697964

Time dependent analysis of assay comparability: a novel approach to understand intra- and inter-site variability over time.

Susanne Winiwarter1, Brian Middleton2, Barry Jones3, Paul Courtney4, Bo Lindmark5, Ken M Page6, Alan Clark7, Claire Landqvist8.   

Abstract

We demonstrate here a novel use of statistical tools to study intra- and inter-site assay variability of five early drug metabolism and pharmacokinetics in vitro assays over time. Firstly, a tool for process control is presented. It shows the overall assay variability but allows also the following of changes due to assay adjustments and can additionally highlight other, potentially unexpected variations. Secondly, we define the minimum discriminatory difference/ratio to support projects to understand how experimental values measured at different sites at a given time can be compared. Such discriminatory values are calculated for 3 month periods and followed over time for each assay. Again assay modifications, especially assay harmonization efforts, can be noted. Both the process control tool and the variability estimates are based on the results of control compounds tested every time an assay is run. Variability estimates for a limited set of project compounds were computed as well and found to be comparable. This analysis reinforces the need to consider assay variability in decision making, compound ranking and in silico modeling.

Keywords:  ADME; DMPK; Screening assay; Site variability; Variability

Mesh:

Substances:

Year:  2015        PMID: 25697964     DOI: 10.1007/s10822-015-9836-5

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  18 in total

1.  Practical use of the regression offset approach for the prediction of in vivo intrinsic clearance from hepatocytes.

Authors:  Anna-Karin Sohlenius-Sternbeck; Christopher Jones; Douglas Ferguson; Brian J Middleton; Denis Projean; Eva Floby; Johan Bylund; Lovisa Afzelius
Journal:  Xenobiotica       Date:  2012-04-18       Impact factor: 1.908

Review 2.  Hypothesis driven drug design: improving quality and effectiveness of the design-make-test-analyse cycle.

Authors:  Alleyn T Plowright; Craig Johnstone; Jan Kihlberg; Jonas Pettersson; Graeme Robb; Richard A Thompson
Journal:  Drug Discov Today       Date:  2011-09-22       Impact factor: 7.851

3.  The analysis of very small samples of repeated measurements I: an adjusted sandwich estimator.

Authors:  Simon S Skene; Michael G Kenward
Journal:  Stat Med       Date:  2010-11-30       Impact factor: 2.373

4.  High-throughput metabolic stability studies in drug discovery by orthogonal acceleration time-of-flight (OATOF) with analogue-to-digital signal capture (ADC).

Authors:  David G Temesi; Scott Martin; Robin Smith; Christopher Jones; Brian Middleton
Journal:  Rapid Commun Mass Spectrom       Date:  2010-06-30       Impact factor: 2.419

5.  Evaluation of the human prediction of clearance from hepatocyte and microsome intrinsic clearance for 52 drug compounds.

Authors:  A-K Sohlenius-Sternbeck; L Afzelius; P Prusis; J Neelissen; J Hoogstraate; J Johansson; E Floby; A Bengtsson; O Gissberg; J Sternbeck; C Petersson
Journal:  Xenobiotica       Date:  2010-09       Impact factor: 1.908

6.  High throughput screening of physicochemical properties and in vitro ADME profiling in drug discovery.

Authors:  Hong Wan; Anders G Holmén
Journal:  Comb Chem High Throughput Screen       Date:  2009-03       Impact factor: 1.339

7.  An approximate distribution of estimates of variance components.

Authors:  F E SATTERTHWAITE
Journal:  Biometrics       Date:  1946-12       Impact factor: 2.571

8.  Design and analysis of analytical method transfer studies.

Authors:  James R Schwenke; Dennis K O'Connor
Journal:  J Biopharm Stat       Date:  2008       Impact factor: 1.051

9.  A method for measuring the lipophilicity of compounds in mixtures of 10.

Authors:  Mark C Wenlock; Tim Potter; Patrick Barton; Rupert P Austin
Journal:  J Biomol Screen       Date:  2011-02-22

10.  How experimental errors influence drug metabolism and pharmacokinetic QSAR/QSPR models.

Authors:  Mark C Wenlock; Lars A Carlsson
Journal:  J Chem Inf Model       Date:  2014-12-24       Impact factor: 4.956

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  4 in total

1.  Interpretation of in Vitro Metabolic Stability Studies for Racemic Mixtures.

Authors:  James A Baker; Michael D Altman; Iain J Martin
Journal:  ACS Med Chem Lett       Date:  2018-07-19       Impact factor: 4.345

2.  Opportunities and challenges using artificial intelligence in ADME/Tox.

Authors:  Barun Bhhatarai; W Patrick Walters; Cornelis E C A Hop; Guido Lanza; Sean Ekins
Journal:  Nat Mater       Date:  2019-05       Impact factor: 43.841

3.  Multi-task convolutional neural networks for predicting in vitro clearance endpoints from molecular images.

Authors:  Andrés Martínez Mora; Vigneshwari Subramanian; Filip Miljković
Journal:  J Comput Aided Mol Des       Date:  2022-05-27       Impact factor: 4.179

4.  A Fully Integrated Assay Panel for Early Drug Metabolism and Pharmacokinetics Profiling.

Authors:  Johan Wernevik; Fredrik Bergström; Anna Novén; Johan Hulthe; Linda Fredlund; Dan Addison; Jan Holmgren; Per-Erik Strömstedt; Erika Rehnström; Thomas Lundböck
Journal:  Assay Drug Dev Technol       Date:  2020-05-14       Impact factor: 1.738

  4 in total

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