Deep Learning Invades Drug Design and Synthesis

Medical Chemistry and Chemical Biology Highlights

Authors

  • Josep Arús-Pous National Center of Competence in Research NCCR TransCure, Department of Chemistry and Biochemistry, University of Bern, Switzerland
  • Daniel Probst National Center of Competence in Research NCCR TransCure, Department of Chemistry and Biochemistry, University of Bern, Switzerland
  • Jean-Louis Reymond National Center of Competence in Research NCCR TransCure, Department of Chemistry and Biochemistry, University of Bern, Switzerland. jean-louis.reymond@dcb.unibe.ch

DOI:

https://doi.org/10.2533/chimia.2018.70

Keywords:

Chemical space, Drug design, Machine learning, Retrosynthesis
CHIMIA Vol. 72 No. 01-02(2018): Chemical Education

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Published

2018-02-01

How to Cite

[1]
J. Arús-Pous, D. Probst, J.-L. Reymond, Chimia 2018, 72, 70, DOI: 10.2533/chimia.2018.70.

Issue

Vol. 72 No. 1-2 (2018): Chemical Education

Section

Columns, Conference Reports

Categories

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Copyright (c) 2018 Swiss Chemical Society

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.