In the drug discovery process, decisions often need to be made using large amounts of data. In this poster, a collection of data visualizations used by project teams at Novartis are presented. They have been used to help prioritize compounds, track performance of assays, and gain confidence in predictive computational methods.  Scatter plots are used to extract trends and identify the most efficient group when looking at SAR.  Venn Diagrams help to summarize data from various methods used to validate binding of a compound (such as in FBDD), selectivity information is collated and visualized using a bar chart to identify compounds to prioritize, and a summary table is used to track crystallography efforts of various scaffolds.

Examples of Spotfire data visualizations to aid decision making in drug discovery at Novartis

248th National Meeting (2014)

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