Put existing GOSTAR coverage to work for your program
When GOSTAR already covers your target, modality, disease area, chemotype, or other defined scope, Excelra can license that curated slice as a partial backfile. Your team receives focused historical SAR with perpetual non-commercial rights to use the delivered data, without taking on a full-platform license for a narrower need.
Move from data acquisition to analysis with structures, targets, activities, assays, and source evidence kept relationally coherent and delivered in an agreed format.
The most direct route may be coverage Excelra has already built
- Is the required SAR already represented in GOSTAR? If coverage is unknown, start with data mining. If the relevant sources are known but not yet structured, use data curation.
- Can your workflow use the GOSTAR data model? A light transformation may be sufficient for common ingest needs. Novel fields, organization-specific ontologies, or mixed non-GOSTAR sources usually require curation or enrichment around the backfile.
- Move directly to the usable slice When coverage and schema fit are strong, the backfile gives your team program-scoped historical SAR licensed directly by the company that built and operates GOSTAR.
GOSTAR is Excelra’s manually curated, patent-informed SAR database. A partial backfile makes a defined portion of that relational dataset available for approved internal use when the required coverage already exists.
Relational SAR built for analysis and integration
A useful slice is more than a molecule list. Structures remain linked to source-stated targets, activity records, assay context, and provenance, with standardized fields that reduce the work required before analysis.
- Defined scope based on the coverage your program needs, rather than access to the entire platform.
- Flexible export for approved on-premises or in-stack use under perpetual non-commercial rights.
- Reusable internal data for approved modeling, medicinal chemistry, informatics, and competitive-analysis use under agreed terms.
Decades of patent-informed curation, focused on your program
Excelra has curated structure–activity content since 2001, extending from journal SAR into systematic patent coverage across therapeutic and target areas. That history matters because the useful asset is relational: controlled entities, standardized activities, assay context, provenance, and scientific QC across the slice.
Put that accumulated curation to work in your own environment when the program needs a defined dataset rather than ongoing access to the full platform.
Evaluating the broader GOSTAR platform?
A full GOSTAR subscription supports repeated exploration across the broader corpus. A partial backfile supports delivery of a defined dataset for a focused internal use case. Coverage counts and a schema sample help determine which model fits your team.
Questions we hear from discovery and informatics leaders
A full license fits teams that need ongoing exploration across many targets and programs. A partial backfile fits a defined internal use case that requires a stable dataset in your environment. Coverage, schema fit, and rights should be confirmed before acquisition.
A common pattern is backfile for the covered core plus gap-fill curation for missing sources or fields. If coverage is unknown, start with data mining.
That is a curation (or backfile + enrichment) conversation. Use the data curation path and send a schema snippet with the RFQ.
Public SAR resources are valuable, but source coverage, patent depth, assay context, and normalization practices vary. GOSTAR adds manually curated patent and journal evidence in a consistent relational model. The relevant comparison is coverage and field quality for your specific slice, which the audit is designed to show.
GOSTAR partial backfile
See if GOSTAR already covers your slice
Define the scientific boundaries and the fields your workflow requires. We will use them to assess GOSTAR coverage and schema fit.
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