Reaxys resources and support

Factsheets

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  Reaxys Predictive Retrosynthesis(新しいタブ／ウィンドウで開く)

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  Reaxys patent expansion (新しいタブ／ウィンドウで開く)

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  Reaxys for academic institutions(新しいタブ／ウィンドウで開く)

Webinars

Big data in chemistry webinars

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  A universal approach to reaction informatics(新しいタブ／ウィンドウで開く) Professor Lee Cronin, Center for Digital Chemistry, University of Glasgow

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  Understanding the history of chemical space through big data(新しいタブ／ウィンドウで開く) Professor Guillermo Restrepo, Leipzig University

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  Reaction condition prediction using Reaxys: from raw data to best-in-class model(新しいタブ／ウィンドウで開く) Asst Professor Timur Madzhidov, Organic and Medicinal Chemistry, Kazan Federal University

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  Charting the chemical reaction space for DNA-encoded library design(新しいタブ／ウィンドウで開く) Professor Andreas Brunschweiger, Chemistry and Chemical Biology, TU Dortmund

Reaxys Predictive Retrosynthesis webinars

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  Reaxys Predictive Retrosynthesis — speed matters(新しいタブ／ウィンドウで開く)M Manish Uniyal, Drs. Mandar Bodas and Abhinav Kumar, Elsevier

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  AI-enabled predictive retrosynthesis tool to advance drug discovery(新しいタブ／ウィンドウで開く) Drs. Abhinav Kumar and Nilesh Rane, Elsevier

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  Next generation synthesis planning using AI for chemists(新しいタブ／ウィンドウで開く) Drs. Mandar Bodas, Abhinav Kumar and Juergen Swienty-Busch, Elsevier

Reaxys patents and patent expansion webinars

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  Reaxys patent expansion: uncovering chemical compounds hidden in patents(新しいタブ／ウィンドウで開く) Vinod Honmute, Head of KM, IP law and BI at Aarti Industries, Dr. Nilesh Rane, Elsevier

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  Reaxys patent expansion 2021: an improved competitive intelligence(新しいタブ／ウィンドウで開く) Jen Teske and Robert Niebergall, Elsevier