Automatic identification of relevant chemical compounds from patents-Reference-Cited by-同舟云学术

Automatic identification of relevant chemical compounds from patents

Published:2019-01-01 Issue: Volume:2019 Page:
ISSN:1758-0463
Container-title:Database
language:en
Short-container-title:

Author:

Akhondi Saber A¹²,Rey Hinnerk³,Schwörer Markus³,Maier Michael³,Toomey John⁴,Nau Heike³,Ilchmann Gabriele³,Sheehan Mark³,Irmer Matthias⁵,Bobach Claudia⁵,Doornenbal Marius²,Gregory Michelle²,Kors Jan A¹

Affiliation:

1. Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, CA, Netherlands

2. Elsevier B.V., Radarweg 29, Amsterdam NX, The Netherlands

3. Elsevier Information Systems GmbH, Theodor-Heuss-Allee 108, Frankfurt, Germany

4. Elsevier Limited, 125 London Wall, London, UK

5. OntoChem IT Solutions GmbH, Blücherstraße 24, Halle (Saale), Germany

Funder

Elsevier B.V.

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

http://academic.oup.com/database/article-pdf/doi/10.1093/database/baz001/27636778/baz001.pdf

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5. Managing expectations: assessment of chemistry databases generated by automated extraction of chemical structures from patents;Senger;J. Cheminform.,2015

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