Experimental design for high-throughput screening

Published

Journal Article (Review)

Novel methods in molecular biology and advanced technologies have given pharmaceutical research laboratories the capability to test combinatorial libraries rapidly against large numbers of potential targets. Methods to identify optimal assay conditions efficiently are very useful in the development of robotic screening assays where there are numerous variables and potential interactions between the variables. This review discusses the use of statistical experimental design in the development and optimization of high-throughput screening assays. The authors provide a brief introduction to the theoretical basis for experimental design and discuss practical aspects of using these methods in a research laboratory. Two case studies demonstrate the power of the method in solving problems in assay development and illustrate the diversity of potential applications.

Full Text

Duke Authors

Cited Authors

  • Lutz, MW; Menius, JA; Choi, TD; Laskody, RG; Domanico, PL; Goetz, AS; Saussy, DL

Published Date

  • January 1, 1996

Published In

Volume / Issue

  • 1 / 7

Start / End Page

  • 277 - 286

International Standard Serial Number (ISSN)

  • 1359-6446

Digital Object Identifier (DOI)

  • 10.1016/1359-6446(96)10025-8

Citation Source

  • Scopus