Pharma R&D Today

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Reaxys User Day 2022: Researcher secrets in the spotlight

Posted on May 26th, 2022 by in Chemistry

In April, Elsevier hosted the first Reaxys User Day to learn from expert users and share best practices. Attendees were also updated on how the expert-curated chemistry database has dramatically upped its ability to streamline R&D. We spoke with senior director Ivan Krstic about how Reaxys is turning data into actionable insights to better understand the competitive landscape, design novel compounds, and generally accelerate synthetic chemistry. “Today is about sharing the amazing strides we’ve made,” says Ivan.

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Elsevier and LG: Turning data into action

Posted on April 28th, 2022 by in AI & Data

There are life-changing insights waiting to be found in chemistry data. The critical information waiting to be unlocked can lead to incredible technology advances and medical breakthroughs. But there is so much data out there, and it is multiplying rapidly. At Elsevier, we are excited about a new partnership with world-renowned innovator LG that we are confident will enable researchers to discover and surface more relevant chemistry facts and relationships from scientific literature than ever before.

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Pharma can now track the most relevant patent info – fast and at scale

Posted on April 26th, 2022 by in AI & Data

Since its initial release in January 2021, AI-fueled Patent Expansion in Reaxys has won the respect of pharmaceutical companies trying to stay ahead of their competitors by keeping track of the latest patents around drug discovery and new therapeutics. With a recent expansion that allows Reaxys to also loop in information from images found in patents, it’s a good time to look back – and forward – at this continual work-in-progress. We spoke to Umesh Nandal, Elsevier’s Director of Data Science, about the logic behind the tech: “It’s not just about the speed of access to all this annotated data, but the quality.”

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Can predictive retrosynthesis become a valuable part of a chemist’s toolkit?

Posted on January 18th, 2022 by in Chemistry

“Yes. I was amazed by the Reaxys Predictive Retrosynthesis technology,” says Moritz Classen of the Carreira Research Group at ETH Zurich. He and his colleagues spent months evaluating the tool as they applied it into their daily workflows. “It’s already very user-friendly and really does save a lot of time”. So, what can chemists exactly expect when using predictive retrosynthesis tools?

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