title: Process validation and screen reproducibility in high-throughput screening.
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.
authors.affiliation: GlaxoSmithKline R&D Pharmaceuticals, Screening and Compound Profiling, Tres Cantos, Spain. isabel.coma@gsk.com
authors.forename: Isabel
authors.initials: I
authors.lastname: Coma
authors.forename: Liz
authors.initials: L
authors.lastname: Clark
authors.forename: Emilio
authors.initials: E
authors.lastname: Diez
authors.forename: Gavin
authors.initials: G
authors.lastname: Harper
authors.forename: Jesus
authors.initials: J
authors.lastname: Herranz
authors.forename: Glenn
authors.initials: G
authors.lastname: Hofmann
authors.forename: Mark
authors.initials: M
authors.lastname: Lennon
authors.forename: Nicola
authors.initials: N
authors.lastname: Richmond
authors.forename: Manuel
authors.initials: M
authors.lastname: Valmaseda
authors.forename: Ricardo
authors.initials: R
authors.lastname: Macarron
mesh_terms: D000465:Algorithms; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D015203:Reproducibility of Results