Journal of the American Chemical Society
Article
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present study accentuated the challenges in the practical
application of computational ligand design. A simple “brute-
force”-type screening of the relative energies of enantioselec-
tivity-determining transition states is often not sufficient, as the
modification of ligand denticity and structure may lead to
significant change in the reaction mechanism. The present
study offers an informed approach through close collaboration
of experimental and computational chemists to achieve rational
ligand design with greater efficiency and reliability. This
iterative experimental and computational approach to catalyst
design enables real-time updates and validation to the
computational predictions, which in turn can be immediately
used to inform the next generation of experiments.
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ASSOCIATED CONTENT
* Supporting Information
The Supporting Information is available free of charge on the
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S
74, 8314−8320.
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Detailed experimental procedures and characterization
data for all new compounds, HPLC traces of compounds
Computational details and Cartesian coordinates of
optimized geometries (PDF)
Lannou, M.-I.; Fer
8140.
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X-ray crystallographic data for compound 10f (CIF)
AUTHOR INFORMATION
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Corresponding Authors
ORCID
(10) (a) Chu, H.; Smith, J. M.; Felding, J.; Baran, P. S. ACS Cent. Sci.
2017, 3, 47−51. (b) Chen, D.; Evans, P. A. J. Am. Chem. Soc. 2017,
139, 6046−6049.
(11) We expect that an asymmetric APKR will ultimately enable
stereoselective access to C-2 analogues of the bicyclo[5.3.0]decane
ring system. For example, despite recent syntheses of Tg by Baran and
Evans,10 to date only four C-2 Tg analogues have been prepared, and
when compared to Tg, their activities ranged from 10 times more
potent to 40 times less potent.9a Moreover, naturally occurring Tg
analogues which lack a C-2 ester show decreased SERCA binding
affinity.9d
Notes
The authors declare no competing financial interest.
The crystallographic data is deposited with the Cambridge
Structural Database under Reference No. CCDC 1547487.
ACKNOWLEDGMENTS
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We thank the NIH (GM-54161) and the NSF (CHE-1654122)
for funding. Calculations were performed at the Center for
Research Computing at the University of Pittsburgh and the
Extreme Science and Engineering Discovery Environment
(XSEDE) supported by NSF.
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Felding, J.; Baran, P. S. Science 2013, 341, 878−882.
(13) Bhat, V.; Welin, E. R.; Guo, X.; Stoltz, B. M. Chem. Rev. 2017,
117, 4528−4561.
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