|Understanding the Role of Quality by Design in Chromatographic Method Development|
Michael McBrien, Juan Wang, Teresa Ponzio and Tara Sinclair
Quality by Design (QbD) has become popular within the pharmaceutical industry and the FDA has cited a risk-based approach to drug development as a desirable state for the near future.1 In this state, more complete information and transparency relating to risk assessment will be made available for new drug aplications speeding the approval process, and preventing late-stage failures.
|Ensuring the Quality of Registered Compounds in a Drug Discovery Environment – A Multidisciplinary Approach|
Ryan Sasaki and Tara Sinclair
Lexicon Pharmaceuticals have demonstrated that a practical automated verification system using HPLC, LC/MS, and 1D and 2D NMR can be implemented in an industrial/pharmaceutical environment. This system has proven to be robust, and provides added value to compound collection integrity and quality.
|A Self-Monitoring Quality Management System Incorporating Spectral and Chromatographic Data|
David Snyderman, Colin Read and Tara Sinclair
LIMS 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 to evaluate chromatographic and spectral data of samples during quality testing.
|Using SNA for Mining Collaboration Data in a Bug Tracking System for Risk and Vulnerability Analysis|
Ashish Sureka, Atul Goyal, Ayushi Rastogi
We derive a collaboration network from a defect tracking system and apply SNA techniques to investigate the derived network for the purpose of risk and vulnerability analysis. We demonstrate how important information pertaining to risk and vulnerability can be uncovered using network analysis techniques from static record keeping software archive such as the bug tracking system.
|Molecular Dynamics Study of Binary Mixture Lubricating Film in Hard Disk Interface|
As distance between the HMS in HDD shrink,there is a need for usage of binary mixture lubricants to overcome the problem of retention and replenishment of lubricants on HDD surface. In this work, lubrication performance of binary mixture will be modelled using MD simulation based on a coarse-grain spring model using Euler Algorithm.
|Nucleic Acid Reagents and Experimental Results in the NCBI Probe Database|
Svetlana Iazvovskaia, Ilene Karsch Mizrachi, Kirill Rotmistrovsky, and Savani Tatake
Five years ago, the NCBI Probe database (ProbeDB) was established to provide a centralized archive of molecular probes used in biomedical applications. Currently ProbeDB contains around 10 million probes of 65 types including gene silencing agents, in situ hybridization probes, and probes for variation analysis and genome mapping. Presently, ProbeDB is the largest and most extensive database of this type available in public domain.
|Enzyme kinetic measurements performed on BMG LABTECH´s FLUOstar OPTIMA|
BMG LABTECH has developed a new evaluation software feature able to calculate the Km value as well as the maximal velocity (Vmax) from an enzymatic kinetic measurement.
Enzymes differ in their affinity to specific substrates and this affinity is represented by the Michaelis-Menten constant Km. The new software feature for enzyme kinetic offers fast and easy calculation of Km and Vmax. Available plots are the common Michaelis-Menten, Lineweaver-Burk, Eadie-Hofstee, Scatchard and Hanes kinetic f
|Feasibility study through design and implementation of a web services based RFID solution|
The implementation of an RFID solution based on web services is demonstrated. The solution has three components.
|Protein array-based screening of autoantibody signatures|
Zingaretti C., Arigò M., Colombatto P., Brunetto M., Muratori L., Bonino F., Bianchi F., Pagani M., De Francesco R., Abrignani S., Bombaci M.
The evidence for an association between autoimmune diseases and chronic HCV infection has been clearly established. To this aim, a protein array was employed to analyze serum samples of HCV patients w/wo autoimmune complications, of patients with autoimmune hepatitis but not infected with HCV and of healthy donors as controls. A panel of autoantigens able to discriminate among the three groups of patients was identified for potential use as biomarkers.