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Related presentations, posters, and scientific talks from this event have been posted here for your reference. Please click the associated link to download.
| Title |
Author |
Link |
| A Self-Monitoring Quality Management System Incorporating Spectral and Chromatographic Data | David Synderman, Colin Read, and Tara Sinclair | Download Poster |
| Ensuring the Quality of Registered Compounds in a Drug Discovery Environment – A Multidisciplinary Approach | David Synderman, Colin Read, and Tara Sinclair | Download Poster |
Event Information
Conference Details
Poster Schedule
A Self-Monitoring Quality Management System Incorporating Spectral and Chromatographic Data
Date: Tuesday, February 1, 2011
Time: 1:00–3:00 PM
Poster Number: TP89
Authors: David Snyderman, Ryan Sasaki, Tara Sinclair (ACD/Labs), and Phil Keyes (Lexicon Pharmaceuticals)
Abstract: View Abstract
LIMS systems are useful in managing certain types of data for quality management and sample tracking, however these systems are
generally limited in the types of information they can process and store. A unique automated quality management system has been developed and implemented, at a
fragrance manufacturer, which incorporates not only conventional capabilities of sample tracking and LIMS systems but also uses chromatographic and spectral data,
linking all of this information to discrete samples in a single database. The system also carries out comparison and logic testing to further automate the quality
process using software algorithms to make critical decisions about the quality of each sample. Samples are moved through the system and certificates of analysis, or
requests for further testing, are generated. The quality management system has been independently audited and has been shown to result in a measurable increase in the
effectiveness and efficiency of the manufacturing operation. This poster will outline some of the challenges, and how they were overcome in designing and implementing
a functional system that could satisfy the needs of the operation with minimal manual attendance.
Ensuring the Quality of Registered Compounds in a Drug Discovery Environment—A Multidisciplinary Approach
Date: Tuesday, February 1, 2011
Time: 1:00–3:00 PM
Poster Number: TP86
Authors: David Snyderman, Colin Read, Tara Sinclair (ACD/Labs), and Liam Robinson (Seven Scent)
Abstract: View Abstract
A custom designed system of tools has been constructed to provide automated structure confirmation during the compound submission,
supervisor verification, and registration phases of the drug discovery process. While LC/MS and HPLC verifications are essential components of the verification, NMR data
provides an orthogonal result, and has proven more challenging to automate. By analyzing the Hydrogen-Carbon NMR correlation experiment—the 2D-HSQC—through a comparison
to predicted data and proposed structural assignments, a result can be derived indicating the likelihood that the proposed structure is consistent with the data. By
using a multidisciplinary analytical approach combining NMR, LC/MS, and HPLC data, the analytical department has helped to systematically identify problems with
submitted compounds, allow for corrections, and enhance the overall quality of the compound submission process. The automated verification process has become a valued
asset that helps maintain the quality of our drug discovery efforts.