Breakthroughs Require Vision.

Expand It With GOSTAR.

Skill. Dedication. Determination. If you have devoted your career to academia, you likely did it out of passion for science. You strive for discovery. To make the next breakthrough, your vision and understanding of your field need to be clear.

GOSTAR contains SAR data on over 9.1 million chemical structures and over 82,000 biological targets. We have painstakingly curated this data entirely manually from over 4 million patents and 1 million scientific articles, subjecting every data point to a three-tiered quality control process certified by QMS-ISO standards.

Grants, publications, and recognition in your field all require breakthroughs. Ensure your breakthroughs come faster, are more certain, and have more impact by empowering yourself with a more complete vision of the chemical landscape. See more, and do more, with GOSTAR.

GOSTAR Database in Numbers


Discovery Compounds


SAR datapoints from Patents


Biological Targets


Patents Screened



institutes’ information


Abstracts, Conferences

etc. annotated

But why GOSTAR?

GOSTAR is the only SAR database that is designed by medicinal chemists, for medicinal chemists. It provides academic researchers with unparalleled coverage of the medicinal chemical space, allowing you to both understand what came before you and plan what comes next. Being fully manually curated and subject to a three-tiered quality control process certified by QMS-ISO standards, you can feel assured that the data has integrity.
GOSTAR is specifically a structure-activity relationship database, not a more general chemistry database. The ontologies, format, information, tools, interface, exports, and every other aspect are all meant to help you find and use activity, affinity, ADME, toxicology, physio-chemical, and other data relevant to pharmaceutical design and discovery. In it, you’ll find tools that other databases wouldn’t even think to include, like molecular pair analysis and LE vs. LLE plots.
GOSTAR ensures you can find the data you need quickly, work with it easily, and move on to the next stage of your soon-to-be-discovered breakthrough.

Client Testimonial

“GOSTAR allows us, effectively, to enter an area of biological and chemical space that wouldn’t be possible otherwise.”
Jonny Wray
CTO, E-therapeutics

The Tools to Provide Clarity

GOSTAR enables early discovery in drug development by providing normalized compound–target affinity data as well as comprehensive pharmacokinetic, efficacy, metabolic, and toxicity profiles. It enables medicinal chemists to build powerful searches which provide detailed insight into the entire pharmaceutical space. Find a wealth of data in GOSTAR.
The drug-target interaction heatmap facilitates decision-making about the potential off-target activity of drug candidates early in drug development and drug repurposing workflows. GOSTAR presents these findings in a visually intuitive manner, allowing end-users to easily interpret the data and draw conclusions. Go from data to understanding faster with GOSTAR.
Matched molecular pair analysis is a powerful tool for determining which compound to design and test next. Computer algorithms analyse data in an unbiased manner to create design guidelines that will allow medicinal chemists to propose better compounds that reduce the number of design cycles. GOSTAR provides tools for determining the matched molecular pairs and analysing activity landscapes across compound datasets. Design more effective compounds with GOSTAR.
Lipophilicity is an important factor in determining the binding affinity of a drug to protein targets, as well as influencing ADMET properties. As a result, the combination of high target potency and high lipophilicity may increase the likelihood of ADMET-related attrition. Therefore, medicinal chemistry optimization needs to be balanced and multidimensional. GOSTAR empowers medicinal chemists to efficiently explore the property space of compounds against a variety of bioactivity endpoints. Discover your next breakthrough with GOSTAR.
“Excelra responds quickly to provide the most recent patent and journal data to the GOSTAR database”
Hanjo Kim
Deputy Head of Research, Standigm