Chemical & Pharmaceutical Structure Analysis
Where Technology and Solutions Meet

CPSA 2011

Science and Technology Coming Together to Make a Difference

October 3 - 6, 2011
Bucks County Sheraton Hotel
Langhorne, PA


Poster Abstract #01

ADDA: A new LC/MS/MS sample delivery platform for drug discovery bioanalysis

John Janiszewski1, Rick Schneider1, Veronica Zelesky1, Brendon Kapinos1, Hui Zhang1, Nick Levitt2, Jack Zhou2, Wayne Lootsma3, Will Schramm3 and Felix Yiu2

1) Pfizer Global Research and Development, Groton, CT 06340 USA; 2) Apricot Designs, Covina, CA 91722 USA; 3) Sound Analytics, Niantic, CT 06357 USA

The service model that most resembles drug discovery bioanalysis may be a fast food restaurant, that serves breakfast , lunch and dinner all day , is located at a busy intersection and is strictly take out. That is, the number of new chemical entities (NCE), types of samples and variety of in vitro and in vivo studies that require analysis is large and quite diverse. There is rarely time for formal method development since data turnaround is the highest priority. These circumstances engender the need for a triage approach wherein samples are directed toward the optimal method within a well-defined set of bioanalytical LC/MS/MS options. The ADDA instrument is an LC/MS/MS sample delivery system that features flexible hardware design coupled with unique software automation to enhance throughput in LC/MS/MS bioanalysis drug discovery. The instrument is designed to perform high-throughput LC/MS/MS (8-10 sec/sample) for screening and in-vitro bioanalysis, as well as, multiplexed LC for traditional gradient or isocratic LC approaches applied for in vivo sample analysis. The instrument control software is designed to integrate with DiscoveryQuant software (AB Sciex) and a global database of MS/MS conditions, this approach allows seamless linkage of MS platforms, users and methodologies. This combination of hardware and software technology is well suited to address the broad range of bioanalytical tasks encountered in drug discovery and provide the highest quality data in a time and resource efficient manner. The details of ADDA and related software automation, including application examples will be described.

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