This article explores the benefits of a more intuitive and flexible approach to viewing and interacting with drug discovery data, the basis of StarDrop’s Card View®. We illustrate how this can help to quickly identify high quality compounds and strategies for further compound optimisation.
To discover a good drug candidate, complex data with complex relationships must be analysed, and multiple properties optimised. However, when looking at data, scientists often use spreadsheets. These don’t always make it easy to spot trends and patterns within the data, or to compare different related compounds.
In this article, the team reviews the methods used to extract information from and visualise chemistry data. They suggest a new intuitive framework which helps scientists to view and interact with data in a user-friendly way, making it simple to identify structure-activity relationships for compound optimisation.
M. D. Segall, E. J. Champness, C. Leeding, J. Chisholm, P. Hunt, A. Elliott, H. Garcia-Matrinez, N. W. Foster, S. Dowling, Drug Discovery Today, 2015, 20(9) pp. 1093-1103
DOI: 10.1016/j.drudis.2015.03.008
In this webinar, we look at how we can use data visualisation in an impactful and effective way to communicate many dimensions of information. We illustrate some of the ways that we can achieve this and discuss visual methods to guide our decisions in drug discovery.
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