2012 · 81 citations · 5 references
Pharmaceutical ResearchEngineeringHit IdentificationDiagnosisLead IdentificationLead Optimization ProjectsVerification And ValidationLead Optimization AssaysBioanalysisBiostatisticsAnalytical ChemistryClinical ChemistryHigher Throughput AssaysLaboratory MedicineHts Assay ValidationIntegrated Testing StrategyChromatographyMethod ValidationPreclinical Drug EvaluationPharmacologyMass SpectrometryMedicineDrug DiscoveryHigh-throughput ScreeningDrug Analysis
Assays employed in HTS and lead optimization projects in drug discovery should be rigorously validated both for biological and pharmacological relevance, as well as for robustness of assay performance. This chapter addresses the essential statistical concepts and tools needed in assay performance validation developed in the pharmaceutical industry, specifically for higher throughput assays run exclusively in 96-, 384- and 1536-well formats using highly automated liquid handling and signal detection systems. In this context, it is assumed that the biological and pharmacological validation of the assay system has already been established, and the high through put performance characteristics requires validation. This is an essential chapter for these who design and implement HTS and lead optimization assays to support SAR projects in pre-clinical drug discovery.
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Brian J. Eastwood, Mark W. Farmen, Philip W. Iversen et al. · SLAS DISCOVERY · 2006 · 122 citations · Full text
Automated Assay Optimization with Integrated Statistics and Smart Robotics
Paul B. Taylor, Frances P. Stewart, Damien J. Dunnington et al. · SLAS DISCOVERY · 2000 · 37 citations · Full text