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< Chemical data process services >

•  Converting handwriting notebooks to text & structural searchable database

  1. All pharmaceutical/biotech companies have accumulated huge numbers of pages of handwriting notebooks.
  2. Many of these notebooks have been scanned and stored in image format.
  3. But the image format data are not text & structural searchable.
  4. BRI provides services to convert notebooks to text & structural searchable database with its proprietary search engines.
  5. BRI technology can search chemical reactions on your digitalized notebooks.
  6. BRI can deploy about 160 professionals to work on these types of projects.
  7. The BRI structure search engine can even handle Markush queries.

•  Raw chemical/biological data integration

  1. Usually chemical data, spectral data, and biological data etc., are collected and stored in different databases.
  2. In order to apply CADD or cheminformatic processes, these data have to be combined, reformatted, integrated, and visualized. These processes can be termed as raw data integration, which is boring and time-consuming.
  3. BRI provides the raw data integration services in order to make chemical/biological data well-integrated. These services liberate your scientists from non-innovative tasks, and focus on novel CADD or cheminformatic research work.
  4. BRI has extensive expertise in PipelinePilot®, SpotFire®, .Net, chemical databases, Excel, etc. to guarantee the work quality.

•  Markush query services

  1. Markush query technology usually applied in chemical patent study .
  2. BRI is specialized in substructure and Markush structure search technologies.
  3. BRI provides the search engine for medicinal/computational/cheminformatican chemists to search on chemical structure databases. This service is only available at BRI.
  4. The search engine can be integrated with PipelinePilot®, and search on SDF files.

•  Chemical patent consulting services

  1. These services are provided for medicinal chemists. When a new project is started, all related patents will be collected and reviewed to identify “patent deficits”, which may be used as starting points.
  2. New leads can also be designed by the inspirations from the existing patent analyses.

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