Optimize your workflow with premier drug discovery services
Efficient drug discovery requires a powerful, fully integrated data source. Unlock deeper insights faster than ever with CAS Solutions, including the new CAS BioFinder Discovery Platform™.
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Unmatched data, unmatched tools, unmatched results
Our scientist curators have carefully extracted, harmonized, and connected the critical information your team needs to advance drug discovery projects, including:
- Key concepts
- Sequence information
- Structure-activity relationship analysis data
Weaving this unparalleled breadth of high-quality data and expert curation, our world-class solutions will help you reveal critical insights buried in disparate information.
The current state of drug discovery
Read our white paper about overcoming time constraints on drug discovery scientists to maximize experimental and analytical investments.
Download nowIntegrated drug discovery services for your project success
CAS BioFinder®
High-quality life sciences data and capabilities
Access an integrated data source to find connections between ADME, biomarkers, structural similarities, SAR in drug discovery, and more – now including the life sciences capabilities of CAS SciFinder®.
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CAS STNext®
Patent and document insights
Search the world’s disclosed scientific and technical research to find any document that could impact your novel drug.
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CAS Custom Services℠
A custom drug discovery data framework
Partner with our experts to create a custom data management platform finely tuned to your drug discovery insights and workflow.
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Our solutions are fueled by expert insights
The data-first approach: can drug discovery teams maximize efficiency by prioritizing data?
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Challenges and opportunities in creating authority constructs for life sciences
Challenges and opportunities in structure-activity-relationship studies
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Challenges and opportunities in discovering novel drugs for “undruggable” targets
Challenges and opportunities in protein function prediction for drug discovery
Challenges and opportunities in sequence analysis during drug discovery
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