ASAP - Emphasizing Multidimensional Drug Discovery - Pat Walters (Vertex)

One of the biggest challenges facing drug discovery teams is extracting information from the large volume of data generated in the course of a lead optimization effort, and using this information to make decisions. A typical lead optimization project can track between 15 and 30 assays (enzyme, cell, properties, PK, etc), and identifying trends in this data can be difficult. In an effort to address this problem and help scientists to make better decisions, we have developed a new software platform called ASAP. ASAP provides an intuitive overview of the data that also allows scientists to easily 'drill down' and examine the details of particular experiments. A combination of 'filters' and heat maps allows teams to focus on aspects of the data while remaining aware of the 'big picture'.

Category:

Science & Technology

Tags:

• chemaxon
• drug discovery
• cheminformatics
• property prediction