Drug Discovery Informatics your whole Project Team will embrace

Why you shouldn't use Excel to manage drug discovery data


  • CDD Awarded $1.5 Million Grant to Automate Open Source Machine Learning Models April 25, 2017

    Collaborative Drug Discovery (CDD) proposes to develop technology that will vastly simplify and integrate all the processes required to exploit predictive models for drug discovery. The software will make it easy for scientists without specialized training in informatics to create, train, apply, evaluate, share, and archive models with minimal effort, and also leverage a large library of pre-computed models with zero effort. The software will also enable scientists working in different organizations to collectively build models from their aggregated data and share these models with each other, without sharing the underlying training data.

    Our goal is to democratize the role in drug discovery of computational models – which have historically been restricted to computational experts – and allow models to become routine aids to the discovery workflow in academia, foundations, government laboratories, and small companies that do not have the resources to employ them today…

    CDD Presents and Exhibits at the Drug Discovery Chemistry Conference in San Diego April 18, 2017

    CDD will be presenting and exhibiting at the 12th annual Drug Discovery Chemistry conference in San Diego, between April 23rd and 27th, 2017. Dr. Barry Bunin, CEO of CDD, will be presenting a talk entitled “Modern Drug Research Informatics Applications to CNS, Infectious, Neglected, Rare, and Commercial Diseases”. Date: Monday, April 24 at 9:10 AM […]


Ruo Steensma headshot

Dr. Ruo Steensma

Orphagen Pharmaceuticals

"We had Excel sheets all over the place and data from different projects that were just separated in different folders and after a while, it got to the point that it was just hard to manage. We chose CDD, and we’re really happy with the service and the cost and the way the database is evolving."

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