Certara offers predictive science and informatics solutions that enable cross-disciplinary and translational approaches to drug development.
D360 has been used by thousands of chemists, biologists, lab technicians and managers for their daily research work in organizations ranging from multi-site pharmaceuticals to small biotechnology companies. D360 is used to:
By far the most prevalent need for information in discovery is viewing project data on a regular basis. With D360, users can set up a project data view in a matter of minutes that includes critical information, such as:
with multiple data visualizations and automated analysis to make data immediately digestible.
The addition of chemical series information, compound progression information, and comments provides a living, evolving project data view where key research decisions can be made and captured. Project data views need only be created once per project by a scientist and can be deployed to the team in a matter of seconds, making the view available as a one- click operation.
D360 offers a variety of perspectives on research data (from the level of parent chemical structures, salt forms, batches, projects, individual results and many others). Datasets at the parent structure level are generally employed for structure activity relationships, while salt form level datasets are vital for examination of in vivo data. Alternate data perspectives support a wide range of workflows across the spectrum of research users, for example:
D360’s chemically/biologically aware spreadsheet will be familiar to Excel users in terms of its range of functionality, with the added benefit that D360 handles indeterminate numeric data (frequent in biological assay results) in data summarization, sorting, filtering, and graphing operations. Drilldown into aggregated data values shows individually determined results and related information such as dose-response curves. All D360 data presentations are linked so selection in one selects and auto-navigates in other data views.
Form data viewers are often preferred by scientists for particular tasks and allow richer data presentation, including multi-level datasets, through the use of tables and sub-forms. Building a new form is similar to creating a PowerPoint slide and can be accomplished simply by any user. Like all other D360 data viewers forms are interactive with all other dataset viewers.
D360 provides a rich array of standard data visualizations including scatterplots, histograms, grid views, and data correlation matrices to understand correlations. Multi-parameter optimization is enabled by data mapping and the ability to combine measured results through functional equations to determine selectivity or bioprofile scores.
Small molecule drug discovery is heavily invested in determining structure activity relationships. Beyond allowing structure searching, filtering, chemical series definition and property calculations, D360 provides a number of specific chemical structure related tools that help develop and understand multi-parameter SARs. Structure similarity maps provide a visual structural clustering that can show activity/selectivity islands and cliffs at a glance. R-group analysis and visualization quickly pick out substitutions of interest and also potential R-group combinations that have not been made but should improve biological profile.
No single application serves the entirety of a user’s needs. D360 has been integrated with a variety of additional applications and will work with them out of the box:
D360 also integrates simply and quickly with proprietary systems through its configuration system:
Learn how to easily access your data
White Paper: Speeding the Iterative Drug Design Process [PDF]
Registration required
Webcast: Speeding the Iterative Drug Design Process with D360 [WebEx]
Registration required
Search Our Archives
Download D360 Translational Science Data Sheet [PDF]
