GOSTAR® is the only SAR database designed by medicinal chemists, for medicinal chemists
The Largest Curated SAR Database
With over 9.7 million chemical structures, 31 million bioactivities, and surpassing 82,298 targets, GOSTAR® provides the coverage of the medicinal chemical space necessary to both understand what came before you, and allow you to plan what comes next.
The harmonized data sets on GOSTAR® are curated to contain the data most relevant to pharmaceutical drug design and discovery. It provides comprehensive information on small molecules, including their biological activities, properties, and synthetic methodologies.
This database is utilized extensively in the life sciences sector for drug discovery, chemical biology research, and AI/ML modeling, offering a valuable resource for identifying, optimizing, and predicting biologically active compounds. Thanks to our easy-to-use interface and next-generation features, you can find the compounds you need faster than ever. And you’ll be confident about what you discover because GOSTAR® is the largest curated SAR database, and is subject to a three-tiered, QMS-ISO-certified quality control process.
Streamline drug discovery with
GOSTAR™ Small Molecules’ comprehensive SAR and pharmacological data
10.6
Chemical structures
120
Abstracts & conferences
35
SAR data points
78
Companies & institutes
79
Biological targets
4
Patents screened
10.6
Chemical structures
35
SAR data points
79
Biological targets
120
Abstracts & conferences
78
Companies & institutes
4
Patents screened
Use cases
Pharma & Biotech
GOSTAR® is pivotal for Pharma & Biotech, offering a SAR database that goes beyond chemistry to include activity, affinity, ADME, toxicology, physicochemical and other data relevant to drug design and discovery. The ontologies, format and interface are well designed to suit your needs.
AI / ML
Boost AI-driven drug discovery with GOSTAR®. It provides a highly normalized, QMS-ISO certified quality data set that can be used to train ML algorithms and help drive the search for novel compounds.
Academia
Academic researchers and educators benefit from comprehensive SAR and pharmacology data in GOSTAR®, supporting them to advance in research, facilitating innovative studies, and enabling publication in top-tier journals.
What our customers say
Drug discovery is a complex, time-consuming process that entails multi-parameter optimization of molecular properties. GOSTAR’s curated drug discovery data is a key building block for our proprietary, generative AI technology, Enki. Enki performs multi-parameter optimization to accelerate the design of novel and selective compounds for important therapeutic targets.
Peter Guzzo
Vice President, Head of Drug Discovery, Variational AI
Drug discovery is a challenge of optimizing dozens of molecular attributes simultaneously. Incorporating high-quality, annotated, and comprehensive datasets from GOSTAR® is crucial for training our data-efficient physics-based AI models and supplementing them with program-specific data from our platform helps us achieve the desired attributes of a compound. Leveraging such data makes the process more time and resource-efficient, aids across a very wide range of relevant endpoints for early discovery and enables the design of novel therapeutics.
Fred Manby
Co-founder and CTO, Lambic Therapeutics
GOSTAR® gives us access to an area of biological and chemical space that wouldn’t be possible otherwise.
Jonny Wray
CTO, E-therapeutics
GOSTAR® provides a range of different types of information – a range of different types of data – and that allows you to create a range of different types of predictions, and in drug discovery having many different predictive options is certainly helpful.
Stephen MacKinnon
VP of Research and Development, Cyclica
Excelra responds quickly to provide the most recent patent and journal data to the GOSTAR® database.
Hanjo Kim
Deputy Head of Research, Standigm
GOSTAR® helps us analyze the competitive landscape, understand what’s out there, and in some instances, helps us to build models based on known information as well as train systems to assess how well we are doing at the curation process.
Bryce Allen
CEO/Co-founder, Differentiated Therapeutics
Knowledge Hub
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Unlock the secrets of next-gen compounds
Share your mission and let’s embark on a journey of discovery together
For evaluation & paid license requests:
gostardb@excelra.com
For product queries & support:
support.gostar@excelra.com
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