Optimal serial dilutions designs for drug discovery experiments

Alexander N. Donev, Randall D. Tobias

    Research output: Contribution to journalArticlepeer-review

    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 DS-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. Copyright © Taylor & Francis Group, LLC.
    Original languageEnglish
    Pages (from-to)484-497
    Number of pages13
    JournalJournal of Biopharmaceutical Statistics
    Volume21
    Issue number3
    DOIs
    Publication statusPublished - May 2011

    Keywords

    • Bioassay
    • Dose-response study
    • High-throughput screening
    • Minimum significant difference
    • Population D- and DS-optimality

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