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ACS Omega
(Jun 2024)
Evaluating Molecular Complexity with Open-Source Machine Learning Approaches to Predict Process Mass Intensity
Nicole Tin,
Mandeep Chauhan,
Kennedy Agwamba,
Yibai Sun,
Astrid Parsons,
Philippa Payne,
Remus Osan
Affiliations
Nicole Tin
Analytical Sciences, Gilead Sciences Inc, Foster City, California, United States
Mandeep Chauhan
Global Quality Control Systems, Gilead Sciences Inc, Foster City, California, United States
Kennedy Agwamba
Analytical Sciences, Gilead Sciences Inc, Foster City, California, United States
Yibai Sun
Process Development, Gilead Alberta ULC, Edmonton, Alberta, Canada
Astrid Parsons
Process Development, Gilead Sciences Inc, Foster City, California, United States
Philippa Payne
Global External Manufacturing, Gilead Alberta ULC, Edmonton, Alberta, Canada
Remus Osan
Analytical Sciences, Gilead Sciences Inc, Foster City, California, United States
DOI
https://doi.org/10.1021/acsomega.4c02427
Journal volume & issue
Vol. 9, no. 26
pp. 28476 – 28484
Abstract
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No abstracts available.
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