Learn more about the new Pistoia Alliance Chemical Safety Library, an open access platform developed and hosted by CAS.

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Whether you are trying to advance your research, repurpose existing technology or make strategic investment decisions, CAS can help you get there faster while minimizing risk.
 
CAS is a global organization of expert scientists, technologists, and business leaders with a successful and extended history of delivering scientific information opportunities.
 
From our market-leading products, like SciFindern and STN®, to solutions tailored to your specific needs, we are ready to partner with you.

Chemical Abstracts Services - CAS

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With over 100 years’ experience, no one knows more about working with scientific information than CAS.  Leverage our expertise to customize solutions for your organization’s unique information challenges.

Being able to rapidly search for important chemical information while an idea is fresh in your mind is almost priceless. CAS databases streamline the investigative process—allowing you to take an idea and rapidly find the important and necessary information before you forget about the idea or it loses its excitement. That really is invaluable.

Dr. Robert H. Grubbs
Nobel Laureate
Victor and Elizabeth Atkins Professor of Chemistry, California Institute of Technology
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Resources

Press Releases

CAS to collaborate with MIT on research to enhance predictive chemical synthesis planning

CAS has entered into a research collaboration with the Massachusetts Institute of Technology (MIT) to accelerate research on predictive chemical synthesis planning. CAS will provide MIT’s Department of Chemical Engineering Connor Coley’s Research Group a collection of high-quality, scientist-curated chemical reaction data, enabling them to train advanced algorithms in retrosynthesis and reaction prediction. Read more
Press Releases

Launch of Pistoia Alliance Chemical Safety Library powered by CAS platform facilitates information sharing between scientists to improve laboratory safety

Launch of the Pistoia Alliance Chemical Safety Library, powered by a new CAS platform, facilitates information sharing between scientists to improve laboratory safety by providing access to critical crowd-sourced reaction hazard information to reduce incidents. Read more
Articles

QSAR Machine Learning Models and their Applications for Identifying Potential COVID-19 Therapeutics

To identify potential anti-SARS-CoV-2 therapeutics, CAS scientists are building machine-learning predictive models to identify novel drug candidates for the viral targets 3 chymotrypsin-like protease (3CLpro) and RNA-dependent RNA polymerase (RdRp). Read more