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The PMI Predictor - a Web App Enabling Green-by-Design Chemical Synthesis

preprint
submitted on 16.01.2019 and posted on 16.01.2019 by Alina Borovika, Jacob Albrecht, Jun Li, Andrew S. Wells, Christiana Briddell, Barry R. Dillon, Louis J. Diorazio, James R. Gage, Fabrice Gallou, Stefan G. Koenig, Michael E. Kopach, David K. Leahy, Isamir Martinez, Martin Olbrich, Jared L. Piper, Frank Roschangar, Edward Sherer, Martin D. Eastgate
Herein we describe a green-by-design approach to route selection and development, assisted by predictive analytics and historical data. In order to aid the selection of more efficient strategies, we created a user-friendly web application, the “PMI Prediction Calculator,” to foretell the probable efficiencies of proposed synthetic routes, prior to their evaluation in the laboratory. This tool can also be used to benchmark the outcome performance of a developed process. We expect that use of this app will bring greater awareness of sustainability during the ideation phase of route design and will contribute to a reduced environmental impact of pharmaceutical production. The app can be accessed following the link:
https://acsgcipr-predictpmi.shinyapps.io/pmi_calculator/

History

Email Address of Submitting Author

alina.borovika@bms.com

Institution

Bristol-Myers Squibb, ACS Green Chemistry Institute Pharmaceutical Roundtable

Country

United States

ORCID For Submitting Author

0000-0002-0626-028X

Declaration of Conflict of Interest

The authors certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

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