methods. XX. A basis set for correlated wave functions. J. Chem. Phys. 72, 650–
66. J. R. Cheeseman, G. W. Trucks, T. A. Keith, M. J. Frisch, A comparison of models
for calculating nuclear magnetic resonance shielding tensors. J. Chem. Phys. 104,
48. J. D. Hicks, A. M. Hyde, A. M. Cuezva, S. L. Buchwald, Pd-catalyzed N-arylation of
secondary acyclic amides: Catalyst development, scope, and computational
49. N. C. Bruno, M. T. Tudge, S. L. Buchwald, Design and preparation of new palladium
precatalysts for C–C and C–N cross-coupling reactions. Chem. Sci. 4, 916–920
50. N. C. Bruno, N. Niljianskul, S. L. Buchwald, N-substituted 2-
aminobiphenylpalladium methanesulfonate precatalysts and their use in C–C and
C–N cross-couplings. J. Org. Chem. 79, 4161–4166 (2014).
51. S. D. Friis, T. Skrydstrup, S. L. Buchwald, Mild Pd-catalyzed aminocarbonylation of
(hetero)aryl bromides with a palladacycle precatalyst. Org. Lett. 16, 4296–4299
52. L. Li, C. Y. Wang, R. Huang, M. R. Biscoe, Stereoretentive Pd-catalysed Stille cross-
coupling reactions of secondary alkyl azastannatranes and aryl halides. Nat.
53. S. A. Green, J. L. Matos, A. Yagi, R. A. Shenvi, Branch-selective hydroarylation:
Iodoarene-olefin cross-coupling. J. Am. Chem. Soc. 138, 12779–12782 (2016).
54. W. M. Czaplik, M. Mayer, A. J. V. Wangelin, Direct cobalt-catalyzed cross-coupling
between aryl and alkyl halides. Synlett 18, 2931–2934 (2009).
55. A. Wilsily, Y. Nguyen, E. Fillion, Hydrogenolysis of unstrained carbon-carbon σ
bonds: Stereoselective entry into benzylic tertiary centers. J. Am. Chem. Soc. 131,
67. Y. Zhao, D. G. Truhlar, The M06 suite of density functionals for main group
thermochemistry, thermochemical kinetics, noncovalent interactions, excited
states, and transition elements: Two new functionals and systematic testing of
four M06-class functionals and 12 other function. Theor. Chem. Acc. 120, 215–241
68. F. Weigend, R. Ahlrichs, Balanced basis sets of split valence, triple zeta valence
and quadruple zeta valence quality for H to Rn: Design and assessment of
accuracy. Phys. Chem. Chem. Phys. 7, 3297–3305 (2005).
69. E. D. Glendening, A. E. Reed, J. E. Carpenter, F. Weinhold, NBO Version 3.1
(University of Wisconsin–Madison, 1990).
70. S. K. Latypov, F. M. Polyancev, D. G. Yakhvarov, O. G. Sinyashin, Quantum
chemical calculations of 31P NMR chemical shifts: Scopes and limitations. Phys.
71. H. Clavier, S. P. Nolan, Percent buried volume for phosphine and N-heterocyclic
carbene ligands: Steric properties in organometallic chemistry. Chem. Commun.
72. L. Falivene, R. Credendino, A. Poater, A. Petta, L. Serra, R. Oliva, V. Scarano, L.
Cavallo, SambVca 2. A web tool for analyzing catalytic pockets with topographic
steric
maps.
Organometallics
35,
2286–2293
(2016).
56. J. E. Baldwin, S. Bonacorsi Jr., Stereochemistry of the thermal isomerizations of
74. A. Verloop, in Drug Design, E. J. Ariens, Ed. (Academic Press, 1976), vol. 3, pp. 133–
187.
75. T. Piou, F. Romanov-Michailidis, M. Romanova-Michaelides, K. E. Jackson, N.
Semakul, T. D. Taggart, B. S. Newell, C. D. Rithner, R. S. Paton, T. Rovis, correlating
reactivity and selectivity to cyclopentadienyl ligand properties in Rh(III)-catalyzed
C–H activation reactions: An experimental and computational study. J. Am. Chem.
(1R,
2R)-1-((E)-styryl)-2-methylcyclopropane
to
3-phenyl-4-
methylcyclopentenes. J. Am. Chem. Soc. 115, 10621–10627 (1993).
57. Schrödinger Release 2018-1: MacroModel (Schrödinger, LLC, New York, 2018).
58. K. Ermanis, K. E. B. Parkes, T. Agback, J. M. Goodman, Expanding DP4: Application
to drug compounds and automation. Org. Biomol. Chem. 14, 3943–3949 (2016).
59. K. Ermanis, J. M. Goodman, PyDP4 workflow integrating MacroModel/TINKER,
76.
K.
Jackson,
R.
Paton,
Sterimol.py
(2017);
Gaussian/NWChem
and
DP4
analysis,
version
0.7
(2016);
77. I. A. Guzei, M. Wendt, An improved method for the computation of ligand steric
effects based on solid angles. Dalton Trans. 2006, 3991–3999 (2006).
78. I. A. Guzei, M. Wendt, Program Solid-G (University of Wisconsin–Madison, 2004).
79. MATLAB R2017a (Mathworks, Inc., Natick, MA, 2017).
60. M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria, M. A. Robb, J. R.
Cheeseman, G. Scalmani, V. Barone, G. A. Petersson, H. Nakatsuji, X. Li, M.
Caricato, A. V. Marenich, J. Bloino, B. G. Janesko, R. Gomperts, B. Mennucci, H. P.
Hratchian, J. V. Ortiz, A. F. Izmaylov, J. L. Sonnenberg, D. Williams-Young, F. Ding,
F. Lipparini, F. Egidi, J. Goings, B. Peng, A. Petrone, T. Henderson, D. Ranasinghe,
V. G. Zakrzewski, J. Gao, N. Rega, G. Zheng, W. Liang, M. Hada, M. Ehara, K.
Toyota, R. Fukuda, J. Hasegawa, M. Ishida, T. Nakajima, Y. Honda, O. Kitao, H.
Nakai, T. Vreven, K. Throssell, J. A. Montgomery Jr., J. E. Peralta, F. Ogliaro, M. J.
Bearpark, J. J. Heyd, E. N. Brothers, K. N. Kudin, V. N. Staroverov, T. A. Keith, R.
Kobayashi, J. Normand, K. Raghavachari, A. P. Rendell, J. C. Burant, S. S. Iyengar,
J. Tomasi, M. Cossi, J. M. Millam, M. Klene, C. Adamo, R. Cammi, J. W. Ochterski,
R. L. Martin, K. Morokuma, O. Farkas, J. B. Foresman, D. J. Fox, Gaussian 16,
Revision A.03 (Gaussian, Inc., Wallingford, CT, 2016).
61. C. Adamo, V. Barone, Toward reliable density functional methods without
adjustable parameters: The PBE0 model. J. Chem. Phys. 110, 6158–6170 (1999).
62. W. J. Hehre, R. Ditchfield, J. A. Pople, Self-consistent molecular orbital methods.
XII. Further extensions of Gaussian-type basis sets for use in molecular orbital
studies of organic molecules. J. Chem. Phys. 56, 2257–2261 (1972).
80. J.-Y. Guo, Y. Minko, C. B. Santiago, M. S. Sigman, Developing comprehensive
computational parameter sets to describe the performance of pyridine-oxazoline
and
related
ligands.
ACS
Catal.
7,
4144–4151
(2017).
ACKNOWLEDGMENTS
We acknowledge R. Kinthada for contributions to the diastereoselectivity studies. We
thank G. Ralph for assistance with chiral HPLC analysis. We thank Prof. Luigi
Cavallo for providing us with the command line tool for computing percent
buried volume. Funding: we are grateful to the National Institutes of Health
(grant SC1GM110010 to M.R.B.), the National Science Foundation (grant CHE-
1665189 to M.R.B. and grants CHE-1361296 and CHE-1763436 to M.S.S), and the
Leopoldina Fellowship Programme of the German National Academy of Sciences
Leopoldina (LPDS 2017-18 to T.G.). The support and resources from the Center
for High Performance Computing (CHPC) at the University of Utah are gratefully
acknowledged. Further computational resources were provided by the Extreme
Science and Engineering Discovery Environment (XSEDE), which is supported by
the NSF (ACI-1548562) and provided through allocation TG-CHE180003. Author
contributions: S.Z. and B.M. performed all synthetic experiments and isolated
all products. T.G. computed all ligand parameters and performed multivariate
analyses. Z.L.N. performed initial multivariate analyses. M.R.B., M.S.S., and T.G.
wrote the manuscript. M.R.B. and M.S.S. directed the project. Competing
interests: The authors declare no competing interests. Data and materials
availability: All additional data are in the supplementary materials.
63. P. C. Hariharan, J. A. Pople, The influence of polarization functions on molecular
orbital hydrogenation energies. Theor. Chim. Acta 28, 213–222 (1973).
64. T. Clark, J. Chandrasekhar, G. W. Spitznagel, P. V. R. Schleyer, Efficient diffuse
function-augmented basis sets for anion calculations. III. The 3-21+G basis set for
first-row elements, Li-F. J. Comput. Chem. 4, 294–301 (1983).
65. R. Krishnan, J. S. Binkley, R. Seeger, J. A. Pople, Self-consistent molecular orbital
First release: 20 September 2018
(Page numbers not final at time of first release)
5