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Artificial intelligence in chemistry and drug design.

Publication ,  Journal Article
Brown, N; Ertl, P; Lewis, R; Luksch, T; Reker, D; Schneider, N
Published in: Journal of computer-aided molecular design
July 2020

Duke Scholars

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Published In

Journal of computer-aided molecular design

DOI

EISSN

1573-4951

ISSN

0920-654X

Publication Date

July 2020

Volume

34

Issue

7

Start / End Page

709 / 715

Related Subject Headings

  • Medicinal & Biomolecular Chemistry
  • Machine Learning
  • Humans
  • Drug Discovery
  • Drug Design
  • Databases, Chemical
  • Big Data
  • Artificial Intelligence
  • Algorithms
  • 3407 Theoretical and computational chemistry
 

Citation

APA
Chicago
ICMJE
MLA
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Brown, N., Ertl, P., Lewis, R., Luksch, T., Reker, D., & Schneider, N. (2020). Artificial intelligence in chemistry and drug design. Journal of Computer-Aided Molecular Design, 34(7), 709–715. https://doi.org/10.1007/s10822-020-00317-x
Brown, Nathan, Peter Ertl, Richard Lewis, Torsten Luksch, Daniel Reker, and Nadine Schneider. “Artificial intelligence in chemistry and drug design.Journal of Computer-Aided Molecular Design 34, no. 7 (July 2020): 709–15. https://doi.org/10.1007/s10822-020-00317-x.
Brown N, Ertl P, Lewis R, Luksch T, Reker D, Schneider N. Artificial intelligence in chemistry and drug design. Journal of computer-aided molecular design. 2020 Jul;34(7):709–15.
Brown, Nathan, et al. “Artificial intelligence in chemistry and drug design.Journal of Computer-Aided Molecular Design, vol. 34, no. 7, July 2020, pp. 709–15. Epmc, doi:10.1007/s10822-020-00317-x.
Brown N, Ertl P, Lewis R, Luksch T, Reker D, Schneider N. Artificial intelligence in chemistry and drug design. Journal of computer-aided molecular design. 2020 Jul;34(7):709–715.
Journal cover image

Published In

Journal of computer-aided molecular design

DOI

EISSN

1573-4951

ISSN

0920-654X

Publication Date

July 2020

Volume

34

Issue

7

Start / End Page

709 / 715

Related Subject Headings

  • Medicinal & Biomolecular Chemistry
  • Machine Learning
  • Humans
  • Drug Discovery
  • Drug Design
  • Databases, Chemical
  • Big Data
  • Artificial Intelligence
  • Algorithms
  • 3407 Theoretical and computational chemistry