CBDD
Computational biology methods for drug discovery.
Accelerate drug discovery through collaboration with industry leaders and innovators
Discover novel approaches
Discover novel approaches to network and pathway analysis and make more informed drug discovery decisions.
Save time and resources compiling data and building algorithms for OMICs data analysis to allow your teams to more efficiently discover new drug targets, new indications for existing drugs, novel drug combinations, biomarkers and more.
Easily accessible analysis methods allow you to:
- Make more efficient and informed drug discovery decisions
- Allocate internal teams to more value-added projects
- Save time and resources through collaboration
Analyze complex datasets
Analyze complex datasets using algorithms developed by a team of experienced bioinformaticians with insights from industry leaders.
Unlock hidden insights in your OMICs data with access to exclusive algorithms built from leading research published in peer-reviewed literature, you can easily perform more efficient bioinformatics analyses to make better informed decisions around drug development.
Leverage leading algorithms to allow you to:
- Repurpose and existing drug for a new indication
- Reconstruct functional mechanisms for disease
- Identify biomarkers to advance drug development
Expand your knowledge
Expand the knowledge and capabilities of your bioinformatics team and allow them to focus on more value-added work.
Advance your research with insights from industry experts with at least 15 years of experience in bioinformatics analysis and software development, as well as through collaboration with peers among the top 50 pharma companies.
Collaboration with experts and peers allows you to:
- Discuss common challenges with peers to uncover solutions
- Develop more accurate algorithms in a shorter timeframe
- Make quicker and more informed R&D decisions
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CBDD updates
CBDD+ R package minor update
Apr 28, 2023
The minor update of CBDD package (19.2.1) has been posted. It contains performance enhancements for CELLECT and provides small fixes for older algorithms.
CBDD+ release announcement (CBDD version 19.2.0)
Mar 16, 2023
New release of CBDD+ R package is out (CBDD 19.2.0)! The R packages and documentation are available for download in the ‘Downloads’ section. Please note that we also release legacy version of the package (currently marked as 17.5.0) which provides maintenance updates, but doesn’t include new algorithms available exclusively to CBDD+ members.
CBDD+ release announcement (CBDD version 19.1.0)
Dec 29, 2022
Second release of CBDD+ R package is out (CBDD 19.1.0)! The R packages and documentation are available for download in the ‘Downloads’ section. Please note that we also release legacy version of the package (currently marked as 17.4.0) which provides maintenance updates, but doesn’t include new algorithms available exclusively to CBDD+ members.
CBDD partners
- AbbVie
- AstraZeneca
- Biogen
- Boehringer Ingelheim
- Bristol-Myers Squibb
- Daiichi Sankyo
- Eisai
- Eli Lilly
- Roche
- GSK
- Johnson & Johnson
- Merck KGaA
- Novartis
- Pfizer
- PMI Science
- Regeneron
- Sanofi
- Takeda
- UCB Biopharma
