Practical Aspects of Machine Learning for the Design-Synthesis-Purify-Assay Workflow

Medicinal Chemistry and Chemical Biology Highlights

Authors

  • Finton Sirockin Novartis Institutes for Biomedical Research, Fabrikstrasse 2, Novartis Campus, CH-4056 Basel;, Email: finton.sirockin@novartis.com
  • Nikolaus Stiefl Novartis Institutes for Biomedical Research, Fabrikstrasse 2, Novartis Campus, CH-4056 Basel;, Email: nikolaus.stiefl@novartis.com

DOI:

https://doi.org/10.2533/chimia.2018.648

Keywords:

Automated synthesis, Auto-updating learning systems, Machine learning
CHIMIA Vol. 72 No. 9 (2018): Organometallics and Catalysis

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Published

2018-09-01

How to Cite

[1]
F. Sirockin, N. Stiefl, Chimia 2018, 72, 648, DOI: 10.2533/chimia.2018.648.

Issue

Vol. 72 No. 9 (2018): Organometallics and Catalysis

Section

Columns, Conference Reports

Categories

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Copyright (c) 2018 Swiss Chemical Society

Creative Commons License

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