Making better decisions during synthetic route design: leveraging prediction to achieve greenness-by-design

Author:

Li Jun1234,Eastgate Martin D.1234ORCID

Affiliation:

1. Chemical and Synthetic Development

2. Bristol-Myers Squibb

3. New Brunswick

4. 08903 USA

Abstract

A conceptual framework for incorporating machine learned ligand prediction into predictive route comparisons, to enable greener chemistry outcomes.

Publisher

Royal Society of Chemistry (RSC)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Chemical Engineering (miscellaneous),Chemistry (miscellaneous),Catalysis

Reference54 articles.

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2. Complex synthesis yields breast-cancer therapy

3. G. Pisano , The Development Factory – Unlocking the Potential of Process Innovation , Harvard Business School Press , Boston , 1997

4. N. G. Anderson , Practical Process Research and Development , Academic Press , San Diego , 2000

5. Current complexity: a tool for assessing the complexity of organic molecules

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