Communication
doi.org/10.1002/chem.202102347
Chemistry—A European Journal
beyond 46%. A major breakthrough was achieved when we
examined non-optimal ligands derived from our Pfizer
collaboration.[5a] We found that the ligand bipyridine-6-carbox-
amidine (BpyCam, L13) proved to be general and, in some
cases, complementary to dtbbpy and PyBCamCN (Scheme 2B
and D).
The success of L13 was surprising because, while pyridine
carboxamidines and pyridine bis(carboxamidine) ligands have
proven to be useful in several cross-coupling reactions,[5a,10d,22b]
the value of (BpyCam)NiCl2 was only evident when tested against
a diverse, challenging library. In analogy to similar situations in
biology, we term this a “cryptic” catalyst.[30]
The overall hit rate for the 222-member μmol-scale library
with the addition of L13 rose from 46% to 56% (124/222
product ions detected) (Schemes 1 and 2B). This hit rate is
higher than what we had found previously using micro stir bars
and a less diverse substrate set,[13] suggesting that some of the
improvement is due to better mixing/activation with Chem-
Beads. This number is also impressive when considered in
context: even methods considered reliable can give moderate
hit rates in diverse medicinal chemistry libraries. For example,
Merck noted only 45% of metal-catalyzed CÀ N bond forming
reactions on complex, polar substrates succeeded.[1b] Similarly,
internal AbbVie data for Pd-catalyzed amine arylation[31] gave a
55% hit rate.
Examination of the array reveals the differences and
similarities between the three catalysts. For example, reactions
conducted with each ligand had a similar level of success:
79/222 (36%) for PyBCamCN (L1), 61/222 (27%) for dtbbpy (L10),
62/222 (28%) for BpyCam (L13) (Scheme 2B). There was also
considerable heterogeneity in what substrate combinations
were successful with each ligand. For example, reactions of
Core 2 did not work at all with L1, but L13 had a reasonable hit
rate. On the other hand, L13 was a poor choice for Core 6, but
reactions with L1 worked well. Finally, we note that the hit rate
of this approach could be further improved by the use of
obtain a global overview of currently accessible scope, we did
not focus on reaction optimization. In our study, the reactions
were carried out in parallel, with fixed concentration, temper-
ature and reaction time, and purification was optimized for
purity and speed over yield. Further optimization would
presumably improve on these yields, as would the inclusion of
additional conditions for specialized substrates.
These results demonstrate the power of using μmol scale
high throughput experimentation to quickly identify workable
conditions and map out the reactivity space of the substrates of
interest. The sensitivity of the analysis tool (UPLC-MS) ensured
even a trace amount of product peak signal could be detected,
thus greatly eliminating the possibility for false negative
findings on the micromole scale. This workflow, which is
accessible with a minimal investment, allows researchers to get a
global understanding of gaps in scope while using minimal
amounts of material (for 666 reactions, 1.11 mmol of each core,
0.36 mmol of each alkyl halide, and 0.16 mmol of each ligand)
and time (the screens were conducted over about two weeks).
We anticipate that the use of Zn@ChemBeads for cross-
electrophile coupling will be broadly useful in HTE. Indeed,
based on this study and the promising results we obtained, this
methodology has become one of the few methods we use in
screening aryl-alkyl coupling conditions for complex med-chem
substrates. In addition, this study suggests that HTE libraries
could be used to find catalysts that are general, but whose
value is not evident with relatively simple substrate pairs. A
corollary to this suggestion is that collections of ligands should
be focused on diversity as much as performance in one or two
test reactions. Ligands that might appear to be poor choices,
and are thus not routinely screened, might in fact be just as
useful as optimal ligands. These “cryptic catalysts” only show
their value when challenged with the correct prompts, a task
that is now possible with modern HTE.
additional modified conditions to accommodate the alkyl Acknowledgements
bromides in this study that provided no product (e.g., for
adamantyl
bromide,[24,32]
2,2,2-trifluoroethyl
bromide,[33]
This work was supported by the NIH (R01GM097243) and
AbbVie. We thank Dr. Phil Cox (AbbVie) for assistance with data
analysis, Dr. Gashaw Goshu (AbbVie) for assistance with
monitoring and assembling plates, and Dr. Noah Tu (AbbVie)
for assistance with ChemBeads and instrument programming.
MOMÀ Br,[34] and 1-(2-bromoethyl)-2-methylpyrrolidine[35]). These
alkyl coupling partners accounted for 24% of the reactions that
failed to show any product in HTE screening. The use of even
ten different sets of conditions is routine and not a barrier in
HTE approaches.
Cross-couplings conducted at 10 μmol scale translated to
larger scale (10× and 50× scale) as well as a normal vial/stir bar Conflict of Interest
format. A subset of these reactions were performed at 100 μmol
scale followed by mass-directed purification resulted in the
isolation of 72/124 products with >95% purity and an addi-
tional 14 products with <95% purity. The other 37 products
were not isolated because the reactions had low conversion
and/or isolation was hindered by overlapping peaks. We further
scaled three reactions to 500 μM scale using standard lab
techniques (4 mL vials with stirbars, isolations by standard flash
chromatography (19, 130, 139)). Of the 87 isolated products, 27
products were fully characterized (see Supporting Information
for additional details). As the main purpose of this study was to
The authors declare no conflict of interest.
Keywords: nickel cross-electrophile coupling
·
·
high-
throughput experimentation · medicinal chemistry · carbon-
carbon bond formation
Perera, J. W. Tucker, S. Brahmbhatt, C. J. Helal, A. Chong, W. Farrell, P.
Chem. Eur. J. 2021, 27, 1–7
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