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Data to Knowledge in Pharmaceutical Research

This report is concerned with the analysis of data from “high-throughput” screening of possible drug compounds. High-throughput screening is a relatively new process yielding thousands of data points at a time, more than can be handled by traditional methods of biological data analysis. We examine a few methods for extracting knowledge from this data and also illustrate the use of descriptors for predicting drug activity. Finally, we present suggestions for improvements in the process and ideas for future work.