Authors: – Nishanth Kandepedu (General Manager, Products, Scientific Products)
Patents are one of the most important sources of newly disclosed chemical and biological information in drug discovery. They can reveal emerging compounds, targets, and medicinal chemistry strategies well before this information becomes available through conventional data sources. However, the value of patent-derived intelligence depends heavily on how quickly it can be curated, structured, and made accessible to researchers.
Traditional patent data workflows can involve multiple manual handoffs between patent curation, data processing, and database publication. This can create a significant gap between when relevant information becomes publicly available and when researchers can access it in a searchable, analysis-ready format.
To help address this challenge, we are introducing Patent ASAP, a new capability in GOSTAR Small Molecules that speeds up the journey from patent curation to online availability. Patent ASAP provides early access to curated compounds, targets and activity data derived from patents, with newly curated content available in GOSTAR in as little as two days from curation.
Patent data latency — the delay between a patent’s publication and its availability as searchable, structured chemical intelligence — is a persistent competitive disadvantage for drug discovery teams. Excelra’s blog on GOSTAR™: The Largest Online Medicinal Chemistry Intelligence Database provides context on how GOSTAR’s curation infrastructure and data model are designed to deliver analysis-ready patent intelligence — and Patent ASAP now extends that capability into near-real-time availability.
Bringing Newly Curated Patent Data to Researchers Sooner
GOSTAR Small Molecules has long provided access to expertly curated SAR and patent-derived data for medicinal chemistry, drug discovery, and competitive intelligence workflows.
Patent ASAP builds on this foundation by creating a dedicated experience for newly curated patent content. Instead of waiting for the broader database update cycle, users can discover, review, compare, and export recently curated patent datasets through a dedicated Patent ASAP workflow.
This provides a faster path from newly published patent information to actionable chemical and biological intelligence.
For teams using GOSTAR for competitive intelligence or medicinal chemistry benchmarking, Patent ASAP complements the broader GOSTAR analytical capabilities described in Excelra’s feature blogs on the Analyzer in GOSTAR™: The Drug-Target Interaction Heatmap and Analyzer in GOSTAR™: Interactive Property Space Exploration. Patent ASAP feeds freshly curated patent compounds into the same analytical environment, so competitive intelligence on newly disclosed chemical space can be acted on within the existing GOSTAR workflow.
Key Capabilities
The initial Patent ASAP release provides a dedicated workflow for discovering and analysing newly curated patent data:
- Dedicated Patent ASAP experience – Access Patent ASAP directly from GOSTAR Small Molecules through a dedicated navigation experience.
- Patent search and discovery – Search for specific patents using Patent IDs and quickly access matching curated records.
- Patent catalogue – Browse the complete Patent ASAP collection and filter patents by document type, Patent ID, and curation date.
- Patent-level results – Review curated compounds, biological targets, activity information, references, and associated metadata for an individual patent.
- Data export – Download Patent ASAP datasets in supported formats, including CSV and SDF, for downstream analysis.
- New patent notifications – Receive email notifications when new patents are added to Patent ASAP, with information on the patents, targets, and compound counts.
Together, these capabilities make Patent ASAP a dedicated entry point for accessing newly curated patent intelligence without waiting for the standard content availability cycle.
From Patent Publication to Actionable Chemical Intelligence
The value of Patent ASAP is not simply in making patents available sooner. It is in bringing newly disclosed information into the same environment researchers already use to evaluate compounds and biological activity.
Researchers can identify a recently curated patent, inspect its representative structures and targets, drill into the underlying activity records, compare multiple patents, and export the resulting dataset for further analysis.
This supports use cases such as:
- Competitive intelligence – Identify newly disclosed chemical matter and monitor emerging target activity.
- Medicinal chemistry – Explore newly reported compounds and associated SAR information.
- Target monitoring – Track patent activity across emerging and strategically important biological targets.
- Early discovery research – Access newly disclosed chemical space sooner to inform research decisions.
The competitive intelligence and early discovery use cases described here — identifying newly disclosed chemical matter and tracking patent activity across strategic targets — connect directly to Excelra’s broader target intelligence capabilities. Our blog on Drug Target Dossier: Target Intelligence for Data-Driven Drug Discovery explains how Patent ASAP data fits into a structured target dossier workflow: newly disclosed patent compounds and activity records provide the early chemical intelligence layer that feeds competitive landscape assessments and target prioritisation decisions.
Accelerating Access to Emerging Chemical Space
Patent ASAP is already demonstrating the impact of a faster content pipeline. The current indexed collection includes 145 patents covering 29,985 structures, 70,490 activity records, and more than 100 protein targets, spanning areas including oncology, targeted degradation, and metabolic disease.
Among the targets currently represented are KRAS, androgen receptor, SMARCA2, GSPT1, and HBS1L, illustrating the breadth of newly curated patent-derived information becoming available through the workflow.
Most importantly, the underlying process reduces the time from curation to online availability from weeks to approximately two days.
This moves GOSTAR closer to a near-real-time content availability model, giving researchers earlier visibility into newly disclosed chemical and biological information.
Patent ASAP, as described in this article, is a GOSTAR™ Small Molecules feature that reduces the time from patent curation to researcher access from weeks to approximately two days — delivering curated compound structures, biological targets, activity records, and associated SAR metadata through a dedicated search, catalogue, and export workflow. The current collection covers 145 patents, 29,985 structures, 70,490 activity records, and more than 100 protein targets, including high-priority oncology and targeted degradation targets such as KRAS, SMARCA2, and GSPT1.
For researchers tracking KRAS, SMARCA2, or GSPT1 patent activity specifically, these are among the most competitive patent landscapes in targeted oncology. Excelra’s case study on Activity Landscape Analysis for Compound Datasets illustrates how structured GOSTAR compound data — including patent-derived SAR information — is used to map activity landscapes across target-focused compound sets, the type of analysis that Patent ASAP data directly feeds.
Continuing to Expand GOSTAR™ Small Molecules
Patent ASAP extends GOSTAR Small Molecules beyond being a comprehensive repository of curated historical SAR and patent information toward a more responsive source of emerging drug discovery intelligence.
By shortening the time between patent curation and researcher access, Patent ASAP helps drug discovery teams identify newly disclosed compounds, targets, and activity information earlier in their workflows.
As the Patent ASAP collection continues to grow, the capability will provide an increasingly timely view of emerging chemical space and patent-derived biological intelligence.
Patent ASAP is the latest in a series of GOSTAR™ Small Molecules feature expansions designed to make patent-derived chemical intelligence more accessible and actionable. For an overview of recent GOSTAR feature enhancements, see the GOSTAR™ Updates: The Latest Feature Enhancements blog. For teams evaluating GOSTAR alongside ChEMBL or other public databases for patent compound coverage, see ChEMBL vs. GOSTAR™ — Data Diversity and Compound Coverage.
What is Patent ASAP in GOSTAR™ Small Molecules?
Patent ASAP is a feature in GOSTAR™ Small Molecules that gives researchers early access to newly curated patent compounds, biological targets, and activity records — typically within two days of curation, compared to weeks under traditional patent database update cycles. It provides a dedicated workflow inside GOSTAR for discovering, reviewing, comparing, and exporting recently curated patent data without waiting for the standard content availability cycle. The current Patent ASAP collection includes 145 patents covering 29,985 structures, 70,490 activity records, and more than 100 protein targets spanning oncology, targeted degradation, and metabolic disease. Key capabilities include patent search by Patent ID, a browsable patent catalogue filterable by document type and curation date, patent-level results showing structures and activity data, CSV and SDF data export, and email notifications when new patents are added. Patent ASAP is accessible directly from GOSTAR Small Molecules through a dedicated navigation experience.
How quickly does Patent ASAP make new patent data available in GOSTAR?
Patent ASAP reduces the time from patent curation to online availability in GOSTAR™ Small Molecules to approximately two days. Traditional patent data workflows involve multiple manual handoffs between patent curation, data processing, and database publication — a process that can take weeks from when a patent becomes publicly available to when researchers can access it in a searchable, structured format. Patent ASAP shortens this timeline by creating a dedicated early-access pipeline for newly curated patent content, bypassing the standard database update cycle. This moves GOSTAR closer to a near-real-time content availability model, giving drug discovery teams earlier visibility into newly disclosed compounds, targets, and activity data. The two-day timeline applies from the point of curation completion to when the data becomes available in the Patent ASAP interface with full search, browse, and export functionality.
Which drug discovery targets are currently in the Patent ASAP collection?
The current Patent ASAP collection in GOSTAR™ Small Molecules covers more than 100 protein targets across oncology, targeted degradation, and metabolic disease therapeutic areas. Among the specific targets currently represented are KRAS, the androgen receptor, SMARCA2, GSPT1, and HBS1L. KRAS and SMARCA2 are among the most actively patent-filed targets in oncology — KRAS following the first clinical approval of a KRAS G12C inhibitor, and SMARCA2 as a primary target for PROTAC and molecular glue degrader programmes. GSPT1 is a molecular glue target of high current interest in oncology. The breadth of targets in the Patent ASAP collection reflects the diversity of therapeutic programmes represented in recently published patent literature. The collection continues to grow as new patents are curated and added, with email notifications available to alert researchers when new patents are indexed for specific targets of interest.
What data can you export from Patent ASAP in GOSTAR?
Patent ASAP in GOSTAR™ Small Molecules supports data export in two formats: CSV (comma-separated values) and SDF (structure data file, the standard format for chemical structure data). CSV export provides tabular data including compound identifiers, biological targets, activity values, and associated metadata in a format suitable for spreadsheet analysis, database import, or Python/R-based data science workflows. SDF export includes the two-dimensional chemical structure alongside compound data fields, making it compatible with molecular modelling software, cheminformatics toolkits such as RDKit and OpenBabel, and virtual screening pipelines. Researchers can export data at the patent level — exporting all compounds and activity records for a specific patent — or at the collection level after filtering or searching. These export formats allow Patent ASAP data to flow directly into computational chemistry, machine learning model training, and competitive intelligence workflows without additional format conversion steps.
How does Patent ASAP differ from the standard GOSTAR™ patent data?
Standard GOSTAR™ Small Molecules patent data is part of the comprehensive, fully integrated SAR and patent database — curated through the established expert curation workflow and available through the main GOSTAR search and analytical environment. This content is quality-reviewed through the complete curation and database publication cycle before becoming available. Patent ASAP is a dedicated early-access layer for newly curated patent content that is made available before completing the full standard publication cycle. It provides faster access to newly disclosed chemical matter at the cost of being a dedicated, time-stamped collection rather than integrated directly into the main database. The relationship is complementary: Patent ASAP gives researchers early access to the most recently curated patents, while the main GOSTAR database provides the comprehensive, fully integrated SAR environment for deep analysis, matched molecular pair analysis, property space exploration, and drug-target interaction heatmaps. Over time, Patent ASAP content migrates into the main GOSTAR database.
What use cases does Patent ASAP support for competitive intelligence teams?
For competitive intelligence teams in pharmaceutical and biotech organizations, Patent ASAP supports several high-value workflows. First, early discovery of newly disclosed chemical matter: Patent ASAP provides access to newly curated patent compounds within two days of curation, allowing teams to identify competitor chemical programmes shortly after patent publication — well before this information migrates to public databases or literature. Second, target-specific patent monitoring: teams can set up email notifications for newly added patents related to specific targets of interest, such as KRAS, SMARCA2, or GSPT1, creating a continuous monitoring system for competitive patent activity. Third, rapid landscape snapshots: by searching the Patent ASAP catalogue by document type, Patent ID, or curation date, teams can quickly assess the volume and nature of recent patent activity for a target or compound class. Fourth, structured data for downstream analysis: CSV and SDF export allows competitive intelligence data to be directly incorporated into internal analysis tools, molecular databases, or AI/ML competitive landscape models.
Explore Patent ASAP in GOSTAR™ Small Molecules
Patent ASAP is now live in GOSTAR™ Small Molecules. Access 145+ curated patents — 29,985 structures, 70,490 activity records, and 100+ protein targets — within two days of curation. Search by Patent ID, browse the catalogue, monitor newly added targets, and export datasets in CSV or SDF format.
