Data is the bedrock of an accelerated and innovative in silico supported drug pipeline.
Download the whitepaper on data for AI in drug discovery (opens in new tab/window)Webinars
Big data in chemistry webinars
A universal approach to reaction informatics(opens in new tab/window) Professor Lee Cronin, Center for Digital Chemistry, University of Glasgow
Understanding the history of chemical space through big data(opens in new tab/window) Professor Guillermo Restrepo, Leipzig University
Reaction condition prediction using Reaxys: from raw data to best-in-class model(opens in new tab/window) Asst Professor Timur Madzhidov, Organic and Medicinal Chemistry, Kazan Federal University
Charting the chemical reaction space for DNA-encoded library design(opens in new tab/window) Professor Andreas Brunschweiger, Chemistry and Chemical Biology, TU Dortmund
Reaxys Predictive Retrosynthesis webinars
Reaxys Predictive Retrosynthesis — speed matters(opens in new tab/window)M Manish Uniyal, Drs. Mandar Bodas and Abhinav Kumar, Elsevier
AI-enabled predictive retrosynthesis tool to advance drug discovery(opens in new tab/window) Drs. Abhinav Kumar and Nilesh Rane, Elsevier
Next generation synthesis planning using AI for chemists(opens in new tab/window) Drs. Mandar Bodas, Abhinav Kumar and Juergen Swienty-Busch, Elsevier
Reaxys patents and patent expansion webinars
Reaxys patent expansion: uncovering chemical compounds hidden in patents(opens in new tab/window) Vinod Honmute, Head of KM, IP law and BI at Aarti Industries, Dr. Nilesh Rane, Elsevier
Reaxys patent expansion 2021: an improved competitive intelligence(opens in new tab/window) Jen Teske and Robert Niebergall, Elsevier