Scientific Data Informatics Hub for Discovery Research
Small molecule drug discovery research requires the ability to access and understand biological, chemical, logistical, and computational data from a wide variety of sources. A major challenge for scientists is the significant time and resources needed to find and access this data quickly and efficiently in order to make critical decisions.
D360 is the industry leading scientific data informatics hub used globally by over 6,500 discovery research scientists. D360™ Express is an out-of-the-box integrated solution specifically designed for discovery scientists in smaller pharmaceutical research organizations. D360 Express provides access, integration, analysis, and visualization to scientific data from multiple internal and external data sources.
Faster Time to Insight
D360 Express gets you up and running quickly and affordably—ideal for organizations who do not require an enterprise solution for data integration.
- Connect and integrate chemical and biological data in one central view from commercial data solutions and public databases
- Provide a shared workplace environment for queries, datasets, lists, and comments creating a self-sustaining user community
- Collaborate in real-time in a self-service environment
Self-service Access to Current Scientific Data
The intuitive drag-and-drop query-building interface allows users to generate project dashboards and ask complex scientific questions without having to know where the data resides and in what format. D360 Express provides instant availability to new data without the need for administrative support.
D360 Express comes with standard connectors to your data sources and can be quickly deployed, without changes to your existing IT infrastructure. You can always add on additional data sources and web services.
Make Better Informed Decisions
D360 Express goes beyond standard data retrieval platforms by providing interactive data filtering, exploration, and numerous visualizations, for built-in analysis and calculation of key parameters. The result? Faster and more efficient access leading to greater scientific understanding.