Author： Skehan Philip
Publisher： Association for Laboratory Automation
ISSN： 1535-5535
Source： Journal of the Association for Laboratory Automation, Vol.5, Iss.4, 2000-09, pp. : 57-60
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Numerical taxonomy and pattern recognition analysis offer powerful tools that can greatly reduce the information burden of multiple-assay screening programs. These methods can be used to rationally design prescreens, identify assays with similar chemical response patterns, select reporter assays for chemical response groups, evaluate drug selectivity, and predict a drug's likely mechanism of action. When combined with assays designed to identify lead compounds with characteristics likely to cause failure at a later and more expensive stage of development, a simple 3-stage primary discovery process consisting of a rational prescreen, reporters, and clinical failure assay can reduce the number of required culture wells by more than 20-fold and can eliminate all but 1-2 drugs per 1,000 tested as leads for further evaluation and development.
Related content
Automation of high throughput screening
Industrial Robot: An International Journal, Vol. 25, Iss. 1, 1998-01 ,pp. :
Access to resources
Recommend
Engineering An Experimental Platform For High Throughput Reactivity Screening
By Kiser Patrick F. Collupy Glenn C. Eichenbaum Gary M. Rush Chad Baumann Stephan P.Kust Mark Greaves Michael D. Frederick Erik D. Soltmann Bernd Vasina Helen Orji Charles Bienfiat Bruno Brown John D. Davies John Atkins Marquitta Lee Jeffrey R. Labow Eric Harp Melissa Goodrich Ann F. Conyers Hilton Geysen H. Mario
Journal of the Association for Laboratory Automation, Vol. 6, Iss. 6, 2001-12 ,pp. :