Optibrium And Collaborative Drug Discovery Integrate StarDrop With CDD Vault

November 1, 2016

By Bio-IT World Staff

November 1, 2016 | Optibrium and Collaborative Drug Discovery (CDD) today announced a collaboration to integrate the StarDrop and CDD Vault platforms. This creates a connection in real time between project data, securely held and managed in CDD Vault, and StarDrop’s unique compound design and optimization capabilities. Instant access to the latest assay and compound data, with which a project team can share, interpret and model their chemistry, will lead to better decisions and shorter project timelines. 

CDD Vault is a hosted biological and chemical database that securely manages project data. It allows researchers, across academic laboratories, research foundations, as well as small and large companies, to intuitively organize chemical structures and biological study data. CDD Vault supports a unique collaborative model that enables data to be safely shared with internal or external partners through an easy-to-use web interface.

Researchers can now retrieve their biological results from CDD Vault using an intuitive search interface within StarDrop that enables users to easily run CDD Vault queries, returning the results directly in StarDrop. This extension to StarDrop is available free of charge to existing StarDrop and CDD Vault users, providing a highly visual way to interpret these data and their relationships with compound structures, clearly highlighting the best chemistries and multi-parameter optimization strategies for drug discovery.

Matthew Segall, CEO of Optibrium, commented: “When selecting compounds, the importance of working with the most up-to-date data can’t be overstated – incomplete or out-of-date information results in time and effort being wasted.  With this in mind, our aim is for StarDrop to fully integrate with the very ‘best in class’ drug discovery informatics platforms and we are delighted to be working with CDD to support drug discovery project teams to make good decisions and achieve their optimization goals faster.”