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PMID: 19171922 Published · ppublish English Journal Article

Process validation and screen reproducibility in high-throughput screening.

Journal of biomolecular screening ·Vol. 14 ·No. 1 ·2009-01-00 ·Pages 66-76

Coma I, Clark L, Diez E, Harper G, Herranz J, Hofmann G, Lennon M, Richmond N, Valmaseda M, Macarron R

Abstract

The use of large-scale compound screening has become a key component of drug discovery projects in both the pharmaceutical and the biotechnological industries. More recently, these activities have also been embraced by the academic community as a major tool for chemical genomic activities. High-throughput screening (HTS) activities constitute a major step in the initial drug discovery efforts and involve the use of large quantities of biological reagents, hundreds of thousands to millions of compounds, and the utilization of expensive equipment. All these factors make it very important to evaluate in advance of the HTS campaign any potential issues related to reproducibility of the experimentation and the quality of the results obtained at the end of these very costly activities. In this article, the authors describe how GlaxoSmithKline (GSK) has addressed the need of a true validation of the HTS process before embarking in full HTS campaigns. They present 2 different aspects of the so-called validation process: (1) optimization of the HTS workflow and its validation as a quality process and (2) the statistical evaluation of the HTS, focusing on the reproducibility of results and the ability to distinguish active from nonactive compounds in a vast collection of samples. The authors describe a variety of reproducibility indexes that are either innovative or have been adapted from generic medical diagnostic screening strategies. In addition, they exemplify how these validation tools have been implemented in a number of case studies at GSK.

MeSH Terms
Algorithms Drug Evaluation, Preclinical/methods Reproducibility of Results
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Coma Isabel
GlaxoSmithKline R&D Pharmaceuticals, Screening and Compound Profiling, Tres Cantos, Spain. isabel.coma@gsk.com
Clark Liz
Diez Emilio
Harper Gavin
Herranz Jesus
Hofmann Glenn
Lennon Mark
Richmond Nicola
Valmaseda Manuel
Macarron Ricardo
Article Info
Journal
Journal of biomolecular screening
Abbr.
J Biomol Screen
ISSN
1087-0571
Published
2009-01-00
Pages
66-76
Language
English
Region
United States
NLM ID
9612112
Subset
IM
Analysis Services
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