LabAutomation 2006 - SLAS
LabAutomation 2006 - SLAS
LabAutomation 2006 - SLAS
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Where Laboratory Technologies Emerge and Merge<br />
11:00 am Monday, January 23, <strong>2006</strong> Track 4: Informatics Room: Madera<br />
Wyndham Palm Springs Hotel<br />
Dietrich Ruehlmann<br />
BD Biosciences<br />
Rockville, Maryland<br />
dietrich_ruehlmann@bd.com<br />
Informatics – The Last Bottleneck in High Content Screening?<br />
High content imaging is on its way to become a mature technology in assay development, screening and toxicology laboratories. With<br />
the emergence of robust optical hardware, reliable fluorescent probes and automation to support hands-off operation, the bottleneck has<br />
largely moved to image and data handling and analysis. This presentation will review different approaches and technologies that harness<br />
the onslaught of datapoints and derive pharmacological meaningful information.<br />
11:30 am Monday, January 23, <strong>2006</strong> Track 4: Informatics Room: Madera<br />
Wyndham Palm Springs Hotel<br />
Michael Hudock<br />
Co-Author<br />
University of Illinois<br />
Eric Oldfield<br />
Urbana, Illinois<br />
hudock@uiuc.edu<br />
University of Illinois at Urbana-Champaign<br />
Developing Chemistry Informatics Applications for Academic Research<br />
Academic research laboratories are often in the unique situation where the amount of chemical and biological data being collected is<br />
difficult to organize and manage, but it does not require industrial-scale informatics applications to do so. We have developed a flexible,<br />
low-cost, custom, web-browser-based chemistry informatics application using both open-source platforms and commercial tools<br />
(ChemAxon JChem and Marvin) when necessary to enhance functionality. The system was developed using a standard three-tiered<br />
architecture consisting of a MySQL backend database, a PHP and JSP processing layer, and web browser client. The data processing<br />
layer consists of three separate modules for handling structural data, screening results, and statistical reports, all of which can be easily<br />
adapted to satisfy evolving demands. The resulting application provides a common environment for our computational chemistry and drug<br />
design teams to analyze structural, screening, and statistical data within our laboratory. Portions of this design scheme could readily be<br />
adapted to meet the demands of other academic and small-scale industrial laboratories.<br />
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