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LION bioscience LAUNCHES NEW VERSION OF SRS TO BROADER MARKET

LION bioscience announced the release of SRS 8.0. SRS is now based on today's IT standards, Web Services and JavaServer Pages. The enhancement of Web services to SRS reduces IT infrastructure complexity, allowing for even more efficient and flexible integration of SRS into corporate environments. SRS provides integrated access to all life science data, bringing together the different disciplines in R&D, and allowing scientists to make faster and more accurate decisions in drug discovery.

The launch of SRS 8.0 marks significant new developments. "The product has undergone a core technology change and has been enhanced extensively. This version of SRS reflects the growing trends within the life science industry to work within a Web services environment and to adopt standard rather than proprietary technology," said Thure Etzold, LION's senior vice president of product development. "More than 300 customers use SRS globally within the life sciences. We recognize that adoption of industry standard technology allows us to rapidly respond to users' needs and enables a wider cross-section of developers to customize SRS than ever before."

By working within a Web services environment, SRS users can take advantage of distributed computing resources. This allows for easier deployment of analysis tools and leads to increased effectiveness within discovery processes dependent on bioinformatics. Due to the cross-language and cross-platform support that Web services provides, more applications within corporate IT infrastructures can now access SRS, providing greater flexibility for data integration and exposing SRS to a broader user community.

SRS 8.0 also comes with an enhanced user interface, allowing for more intuitive querying for the bench scientist. This allows the user to work with pre-defined queries and includes an intuitive graphical interface for linking information thus simplifying the complexity of data sources. The new architecture provides greater customization flexibility when integrating data sources, and reduces the need to use proprietary technology allowing faster responses to scientists' needs.