Optibirum and Enamine to expand access to screening compounds, chemical building blocks

By Maggie Lynch

- Last updated on GMT

(Image: Getty/JGI/jamiegrill)
(Image: Getty/JGI/jamiegrill)

Related tags Collaboration Chemical compound Commercialization

Optibrium announced a collaboration with Enamine to provide further database access to users of Optibirum’s software StarDrop.

Per the collaboration, StarDrop users will have full access to EnamineStore, Enamine’s database which stores information on its commercially available screening compounds and chemical building blocks.

Access to the database extends StarDrop’s capabilities in small molecule design, optimization, and data analysis. Users will be provided a link directly to the EnamineStore.

Matthew Segall, CEO of Optibrium told us, “Enamine and Optibrium both work extensively with medicinal chemistry teams within the pharmaceutical industries and have a great deal of crossover in terms of the clients that they work with.”

StarDrop was developed for users to easily search internal and external systems and databases for information on commercially available compounds, and with this collaboration users will have access to Enamine’s 3.3m screening compounds and 7.8m building blocks for order through the EnamineStore.

Segall further explained that the collaboration was requested by StarDrop users based on previous extensions in which the company gave users access to eMolecules and Molport.

The extension of StarDrop to include Enamine access is relevant to the latest platform version of StarDrop known as StarDrop 6.5. The version includes an R-group clipping feature for researchers to have use of building blocks returned to the virtual libraries and explore new compound ideas.

“Associated information, such as stock and cost for each building block, are linked with the enumerated compounds to facilitate ordering for synthesis of the best compounds,” ​said Segall.

Through the collaboration, StarDrop users can apply the capabilities of StarDrop to the compound library that includes in silico​ predictive models and multi-parameter optimization to identify high-quality compounds. 

Related topics Preclinical Research Preclinical

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