Bridging the Gap Between Preclinical and Clinical Evaluation of Therapeutic Candidates

Session 1

Integrating Experimental, Text Mining, and Analytical Prediction Methods in Drug Discovery

Carolyn R. Cho, Ph.D.
Systems Biology Technology Group, Pfizer Research Technology Center

New and improved high content experimental technologies and modeling and simulation methods have created a rapid expansion in scientific knowledge. This volume knowledge is quickly becoming too large to digest and apply intuitively to the analysis of data. In drug discovery, we must handle the challenge of staying current with developments in disease-specific and general biological understanding while also considering screening data, reagent sets, patent text, and other sources of data. We are applying and developing systems biology approaches to handle this rich and complex data. We are demonstrating that the essential element to these approaches is that they be iterative: the analytical methods and text mining must be developed in as close integration with experimental methods as possible.

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