Case study: Target prioritization at Pfizer

This case study describes how I2E has been used to capture valuable information from the Life Sciences literature, saving time and increasing productivity.

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Target prioritization at Pfizer.

"Extracting information about proteins that share a specific set of molecular behaviours and how they relate to disease is impossible to accomplish in a short time frame with typical search engines such as PubMed or Google. I2E enabled us to rapidly build custom vocabularies and apply them to generate highquality results that were easily integrated with other data sources to present scientists with a single comprehensive overview of the best targets for a therapeutic approach."

- Phoebe Roberts, Senior Principal Scientist, Pfizer