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                          Seurat

                          A powerful data sharing and visualization tool for all members of a discovery team

                          Seurat is for chemists, biologists and preclinical scientists who struggle daily to extract full discovery value from a broad mixture of in-house and in-licensed databases, reports, literature and modeling tools.

                          What Seurat can do for you...

                          - Compound and assay registration
                          - Search and query chemical, physical, and biological properties
                          - SAR: R-Group Analysis
                          - Elevate hits to leads, lead optimization, and PK analyses
                          - Share data with one-click Live Reports
                          - Plotting and visual data mining

                          Seurat streamlines data access and analysis from a broad mixture of in-house and in‑licensed databases, reports, literature, and computational results by providing a wide array of tools for medicinal chemists, biologists, modelers, and IT professionals. Seurat is optimized specifically for small molecule screening, hit-to-lead, lead optimization, and preclinical analysis. Seurat facilitates cross‑functional collaboration, resulting in better decision making and accelerated progress.

                          Seurat is a Rich Internet Application (RIA) that can work with any in-house and in-licensed data and present it in the most meaningful form to all members of a discovery team.

                          Download Seurat

                          • Features

                          Data and database flexibility:
                          Seurat retrieves data from any database regardless of format, vendor, and location, allowing comprehensive analysis of all data and requiring no modification to existing infrastructure.

                          Chemically-aware chemical spreadsheet:
                          Seurat features a highly-configurable spreadsheet that displays complex biological, pharmacokinetic, and pharmacological assay results right alongside chemical structures and computed results from advanced modeling tools. With the addition of new entries, the spreadsheet dynamically autofills with relevant data.

                          Visualization tools:
                          Seurat provides state-of-the-art visualization and analysis tools for all forms of data. Dynamic reports containing up-to-date information may be generated and shared across the entire discovery team.

                          Compound registration:
                          Seurat allows the registration of lots, batches, and associated data, including computed properties. 

                          Assay registration:
                          Seurat provides interactive and batch registration for single-point assay data, multi-point concentration assay data, and pre-clinical study data, including PK, safety, and toxicology.

                          Customization:
                          Seurat allows the user to define custom search options and supports user-defined forms to provide reporting on a per-compound basis.

                          Scalability:
                          Seurat can support up to thousands of users without the need for high-end software application servers by making use of a distributed computing model that decentralizes much of the data modeling to the client desktops.

                          Ease of configuration and maintenance:
                          Seurat functions as a stand-alone product and does not require additional software applications and high-end hardware, enabling set-up and usage within just days.

                          R-group analysis:
                          Explore activity of a congeneric series based on R-group composition. This feature provides complementary functionality to Seurat's native SAR facility.

                          Scaffold Decomposition:
                          Classify and explore a set of structures based on the scaffolds they contain.

                          Citations and Acknowledgements

                          Schrödinger Release 2018-1: Seurat, Schrödinger, LLC, New York, NY, 2018.

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