Combining traditional 2D and modern physical organic-derived descriptors to predict enhanced enantioselectivity for the key aza-Michael conjugate addition in the synthesis of Prevymis™ (letermovir)-Reference-Cited by-同舟云学术

Combining traditional 2D and modern physical organic-derived descriptors to predict enhanced enantioselectivity for the key aza-Michael conjugate addition in the synthesis of Prevymis™ (letermovir)

Published:2018 Issue:34 Volume:9 Page:6922-6927
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Metsänen Toni T.¹²³⁴^ORCID,Lexa Katrina W.⁵⁶⁷⁸⁴^ORCID,Santiago Celine B.¹²³⁴,Chung Cheol K.⁹⁶⁷⁸⁴,Xu Yingju⁹⁶⁷⁸⁴,Liu Zhijian⁹⁶⁷⁸⁴,Humphrey Guy R.⁹⁶⁷⁸⁴,Ruck Rebecca T.⁹⁶⁷⁸⁴^ORCID,Sherer Edward C.⁵⁶⁷⁸⁴^ORCID,Sigman Matthew S.¹²³⁴^ORCID

Affiliation:

1. Department of Chemistry

2. University of Utah

3. Salt Lake City

4. USA

5. Modeling and Informatics

6. MRL

7. Merck Sharp & Dohme

8. Rahway

9. Process Research and Development

Abstract

Hybrid QSAR modeling predicts improved catalysts for the synthesis of Prevymis™ (letermovir).