LabAutomation 2006 - SLAS

Where Laboratory Technologies Emerge and Merge
9:30 am Wednesday, January 25, 2006 Track 4: Informatics Room: Madera
Wyndham Palm Springs Hotel
Edward Petrillo
Bristol-Myers Squibb Company
Princeton, New Jersey
edward.petrillo@bms.com
Measuring and Enhancing Value in Lead Optimization: The Application of Lean Thinking
to Drug Discovery
Lean Thinking has driven substantial improvements in productivity and efficiency in a wide range of manufacturing businesses. This
approach begins with a fundamental understanding of how a customer perceives value in a product, followed by a redesign of the process
to deliver maximum value and eliminate non-value added steps. The work product of lead optimization, the core process of drug discovery,
can be defined as the total knowledge generated concerning a novel therapeutic agent as it approaches clinical development. Scientific
relevance, capability, timeliness, completeness and resource efficiency are the main elements of value for this product. Tools for measuring
and visualizing these value elements are the starting point for a lean transformation of the drug discovery process.
10:00 am Wednesday, January 25, 2006 Track 4: Informatics Room: Madera
Wyndham Palm Springs Hotel
Louis Coudurier
Amphora Discovery Corp
Durham, North Carolina
louis.coudurier@amphoracorp.com
Data Integration and Information Generation at Amphora Discovery Corporation
For the past four years, Pharmaceutical Companies have successfully mastered their Discovery data collection and management via the
implementation of various, vertically deployed, LIMS. However, data integration and information generation, which are vital to decision
support and knowledge engineering, have yet to mature or to be attempted in many cases. Data integration has been impeded by the
sheer volume of data (HTS effect) combined with the complexity, diversity and volatility of the results generated.
As a result, the backend design and implementation of large data integration systems have been carried out by the biggest players
in the computer industry; mainly Oracle and IBM. Trending toward two main system design philosophies (centralized warehousing or
decentralized federalism) those large scale implementations are out of reach to most pharmaceutical companies and retain performance,
maintenance and long term commitment issues.
Amphora Discovery Corporation’s objective to produce a huge body of knowledge spanning multiple biological systems and disease
states, as well as to be able to analyze its results via internally developed mathematical models, directed the company to devise its own
data integration and analysis system code named LIBERTY. This relatively low cost system is made of a careful balance of centralized
and decentralized components sewed together via an evolutionary approach to system design. This presentation aims at revealing the
architectural design behind Amphora’s discovery data integration and analysis system as well as to demonstrate its practicality to other
pharmaceutical companies. Examples of what type of information such a system can provide will be included.
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