Opportunities for Machine Learning and Artificial Intelligence to Advance Synthetic Drug Substance Process Development-Reference-Cited by-同舟云学术

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Opportunities for Machine Learning and Artificial Intelligence to Advance Synthetic Drug Substance Process Development

Published:2023-09-25 Issue:11 Volume:27 Page:1868-1879
ISSN:1083-6160
Container-title:Organic Process Research & Development
language:en
Short-container-title:Org. Process Res. Dev.

Author:

Griffin Daniel J.¹^ORCID,Coley Connor W.²^ORCID,Frank Scott A.³^ORCID,Hawkins Joel M.⁴,Jensen Klavs F.²^ORCID

Affiliation:

1. Pivotal & Commercial Synthetics, Process Development, Amgen, Inc., 360 Binney Street, Cambridge, Massachusetts 02142, United States

2. Department of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States

3. Synthetic Molecule Design and Development, Eli Lilly and Co., Lilly Research Laboratories, Indianapolis, Indiana 46285, United States

4. Pfizer Worldwide Research and Development, 445 Eastern Point Road, Groton, Connecticut 06340, United States

Publisher

American Chemical Society (ACS)

Subject

Organic Chemistry,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.oprd.3c00229

Reference51 articles.

1. Innovation in the pharmaceutical industry: New estimates of R&D costs

2. Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis

3. ACS Symposium Series;Abdel-Magid A. F.,2018

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