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Related Experiment Videos

Process-driven information management system at a biotech company: concept and implementation.

Alberto Gobbi1, Sandra Funeriu, John Ioannou

  • 1Anadys Pharmaceuticals, Inc., San Diego, CA 92121, USA. agobbi@anadyspharma.com

Journal of Chemical Information and Computer Sciences
|May 25, 2004
PubMed
Summary

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Startup companies need robust chemical information systems for efficient drug discovery. Implementing a well-designed system like ARISE early on streamlines compound management and data processing, reducing costs and improving research workflows.

Area of Science:

  • Drug Discovery and Development
  • Information Management Systems

Background:

  • Established pharmaceutical companies utilize existing chemical information systems.
  • Startup companies require new, custom-built information management solutions.
  • Early design decisions significantly impact system scalability, maintenance, and cost.

Purpose of the Study:

  • To present the research information management system (ARISE) developed at Anadys.
  • To illustrate the importance of analyzing work and data flows for efficient system implementation.
  • To support the preclinical drug discovery process through effective data management.

Main Methods:

  • Analysis of inter- and intradepartmental workflows and activity dependencies.
  • Development of an in-house research information management system (ARISE).

Related Experiment Videos

  • Integration of compound registration, quality control, inventory, and screening data management.

    • Main Results:

    • ARISE supports the preclinical drug discovery pipeline.
    • The system facilitates efficient data management and avoids redundant processing.
    • Timely data provision is ensured for the research community.

    Conclusions:

    • Careful planning of information management systems is crucial for startups.
    • ARISE provides a comprehensive solution for preclinical drug discovery data management.
    • Efficient information systems enhance research productivity and reduce operational overhead.