Optimal Serial Dilutions Designs for Drug Discovery Experiments
- 24 March 2011
- journal article
- research article
- Published by Taylor & Francis in Journal of Biopharmaceutical Statistics
- Vol. 21 (3) , 484-497
Abstract
Dose-response studies are an essential part of the drug discovery process. They are typically carried out on a large number of chemical compounds using serial dilution experimental designs. This paper proposes a method of selecting the key parameters of these designs (maximum dose, dilution factor, number of concentrations and number of replicated observations for each concentration) depending on the stage of the drug discovery process where the study takes place. This is achieved by employing and extending results from optimal design theory. Population D- and D S -optimality are defined and used to evaluate the precision of estimating the potency of the tested compounds. The proposed methodology is easy to use and creates opportunities to reduce the cost of the experiments without compromising the quality of the data obtained in them.Keywords
This publication has 11 references indexed in Scilit:
- Cost-cautious designs for confirmatory bioassayJournal of Statistical Planning and Inference, 2008
- High-Throughput Screening of RNA Polymerase Inhibitors Using a Fluorescent UTP AnalogSLAS Discovery, 2006
- High-Throughput Screening: Update on Practices and SuccessSLAS Discovery, 2006
- The Minimum Significant Ratio: A Statistical Parameter to Characterize the Reproducibility of Potency Estimates from Concentration-Response Assays and Estimation by Replicate-Experiment StudiesSLAS Discovery, 2006
- Development of High Throughput Screening Assays Using Fluorescence Polarization: Nuclear Receptor-Ligand–Binding and Kinase /Phosphatase AssaysSLAS Discovery, 2000
- Statistical Inference for Serial Dilution Assay DataBiometrics, 1999
- Design and analysis of serial limiting dilution assays with small sample sizesJournal of Immunological Methods, 1999
- Implementable Bayesian Designs for Limiting Dilution Assays1998
- Computer aided design and evaluation of limiting and serial dilution experimentsInternational Journal of Bio-Medical Computing, 1988
- The Combinations of Haemoglobin with Oxygen and with Carbon Monoxide. IBiochemical Journal, 1913