Resources

MoA Technology integrates CAS chemical substance data into novel herbicide R&D workflow

CAS and MoA Technology, an innovator in herbicide R&D, announce an agreement to embed chemical substance data from the CAS REGISTRY®, as well as related reference and property information, directly into MoA’s R&D workflow via an application programming interface (API).

Nobel’s next nominees? Six impactful discoveries that could be future winners

Fresh perspective - Viewing pharma innovation differently reveals new opportunities

To optimize machine learning predictions, it is best to keep a chemist in the loop

Read how machine learning is being used to identify, screen and prioritize candidate compounds. CAS demonstrates how a machine learning approach will increase accuracy and reliability of predictions.

Next-generation leaders see collaboration as a key to overcoming scientific challenges

CAS announces signing of multi-year enterprise agreement with P&G

CAS announces signing of multi-year enterprise agreement with P&G that expands long-term partnership to support CPG leader’s commitment to disruptive innovation. Global access to leading scientific information solutions portfolio informs business strategy and fuels efficient R&D to deliver superior consumer product performance.

SciFinderⁿ Case Study - Konishi Chemical Industry Co.

This case study features Konishi Chemical Industry Co. Ltd., a chemical research and development company based in Koizaka, Japan, and how they use SciFinderⁿ to speed up their science to develop profitable solutions in an ever changing market.

Taking aim at COVID-19’s most wanted targets

In support of ongoing research efforts to identify additional drugs for COVID-19, a team of CAS scientists analyzed published scientific information and created a comprehensive report focusing on proteins involved in COVID-19 and potential corresponding drug candidates. Learn how CAS has committed to leveraging their assets and capabilities to support the fight against COVID-19.

Inspiring R&D creativity and productivity with computational retrosynthesis