Resources

A collection of feature articles, case studies, and whitepapers from CAS. News and trends spanning scientific research and information technology.

A collection of feature articles, case studies, and whitepapers from CAS. News and trends spanning scientific research and information technology.

Resources Index

Blog

Oh, what a year it’s been! Lessons learned amid the pandemic

Whitepapers

Ammonium Nitrate Safety

This in-depth CAS Report discusses the chemical properties of ammonium nitrate, its hazards and safety rules, and provides a useful resource for those involved in the handling and storage of this compound.

Press Releases

Scilligence Partners with CAS to Optimize R&D Informatics Workflows with Scientist-Curated Data

Scilligence, a provider of web-based informatics solutions for R&D, has partnered with CAS to enable direct access to CAS scientific content through the Scilligence informatics platform. This partnership builds on a previous collaboration by streamlining additional workflow scenarios. Users can now access CAS REGISTRY® data directly from Scilligence ELN and Scilligence Inventory.

Blog

Ammonium Nitrate: Lessons learned and safer approaches

Blog

Building on “flu shot” success to tackle COVID-19

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.

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.

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).