D360 is a self-service data access, integration and visualization solution used to query multiple cheminformatics and bioinformatics data sources and make informed go/no-go and next step research decisions. It is used by more than 5,000 scientists worldwide at both large pharma and specialty research organizations.
“Scientists choose D360 because it allows them to accelerate their ‘time to insight.’ It enables them to access current data faster, spend more time on analysis, and ask and answer questions ‘on the fly,’” said Certara Senior Director, Product Management David Lowis, D. Phil. “To that end, version 9 offers ‘virtual compound support,’ an exciting new capability that allows users to create new chemical structure ideas that can be assessed, shared and prioritized alongside existing project compounds extending D360’s capabilities from pure analysis into the world of design. D360’s upgraded data query and handling capabilities also allow users to investigate more complex assays and study results, an expertise that will increasingly be needed as the industry moves further into precision medicine.”
- Virtual Compound Capabilities – D360 now provides full support for virtual compounds – chemical structures not available in source systems. Compounds can be added to datasets from external sources or from a sketch. New chemical structure ideas can be shared, assessed and prioritized alongside known test entities.
- Complex Assay Data Handling – Data query capabilities have been extended scientifically to handle more complex assays to be evaluated for new research initiatives including precision medicine.
- Enhanced Performance – D360’s greatest strength is that it allows scientists to access their data quickly and easily and to move swiftly to action. Certara has improved all aspects of D360 performance, including data queries, data formatting and analysis, response to ad hoc questions, and handling of large and/or complex datasets. Faster data retrieval and enhanced query features allow scientists to more readily mine corporate data for scientific insight rather than relying on specific data feeds.
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