Enantioselective Aza-Michael Addition
FULL PAPER
Table 1. Screening of conditions for the one-pot addition of succinimide 1a to enones
2b and in situ reduction to afford alcohol 4a (Scheme 1).
lyze were: 1) the presence or absence of the addi-
tive [PdACTHNURGTNEUNG(OAc)2] in addition to (+)-CSA, (discrete
Entry[a]
Cat.
Additive
[equiv]
3a
Conv.[b] [%]
4a
Yield[c] [%]
variable, which in mathematical terms can assume
the values 0 or 1); 2) the choice of the Cinchona al-
kaloid derived catalyst (discrete variable, quinine-
based thiourea, IVg, value 1, or cinchonidine
based-thiourea IVh, value 0); 3) the catalyst load-
ing (multilevel variable, with levels 5, 10, and
20 mol%); 3) the reaction concentration (explored
by running the reaction at the multilevels 2, 2.5 and
3 mL of solvent: solution concentration: 0.225,
0.178, and 0.148m, respectively, for 75 mg
(0.446 mmol) of substrate 2b); 4) the reaction time
(multilevel variable with levels 2, 3, 5, and 9 days).
The exhaustive exploration of the pentadimen-
sional chemical space would have required (2ꢁ2ꢁ
3ꢁ3ꢁ4)=144 experiments (full factorial design),
with a considerably investment of time and chemi-
cals. The possibility to save on these important re-
sources was of course appealing, but the main fea-
ture of this strategy is that the selected experiments
are chosen through a rational process rather than in
a random way. This approach might even require
more time with respect to a trial-and-error ap-
proach, but the most significant outcome is that
data obtained are much more reliable since they
G
ee[b] [%]
ee[b] [%]
1[d]
2[d]
3[d]
4
II
None
None
None
>95
>95
>95
70
80
82
61
59
45
26
73
83
85
88
IVg
IVh
IVg
[Pd
0.04
[Pd(OAc)2]
ACHTUNGTRENNUNG(OAc)2]
5
IVh
IVh
IVh
IVh
IVh
IVh
IVh
none
T
29
31
88
85
0.04
NiCl2
0.04
(+)-(CSA)
0.04
(+)-(CSA)
0.07
(+)-(CSA)
0.1
(+)-(CSA)
0.12
(+)-(CSA)
0.15
6
7
93
85
90
91
85
rac
–
8
90
9
74
10
11
12[e]
70
<5
None
<5
–
–
[a] Reaction run employing 2b (100 mg, 0.595 mmol) and 1a (1.5 equiv) in toluene
(4 mL), with 20 mol% catalysts IVg or IVh at À208C. Reaction time: 3 days. [b] Con-
version and ee value were determined by HPLC. [c] Isolated product yield determined
after flash chromatography. [d] Reaction time of 2 days. [e] Reaction time of 12 days.
(+)-CSA=camphorsulfonic acid.
concept to develop a standard protocol for scientists dealing
with similar issues.
are the result of a logic exploration of reaction conditions
rather than “chemical intuition”. Thanks to computer-aided
experimental design (D-optimal), the rational screening was
achieved, thus running the 19 experiments depicted in
Table 2.[13a]
We chose response surface methodology (RSM). This ex-
plores the relationships between several variables and one
or more response variables.[13b] The rationale of RSM is to
employ a sequence of designed experiments to obtain an op-
timal response. Box suggests using a second-degree polyno-
mial model. Despite this model is only an approximation, it
is easy to estimate and apply, even when little is known
about the process.[13c]
Gaining insight about the mechanism of our target reac-
tion would have been a daunting task. The two diastereotop-
ic transitions states giving rise to the different enantiomers
of product 3a in 90% ee differs at RT for less than
2 kcalmolÀ1. Molecular modeling with DFT calculations
would have required input data such as a catalyst with mo-
lecular weight of about 600 Da, two non-covalently bound
additives, and the effect of the solvent, as well as other pa-
rameters. Inevitably, the approximations required to study
this model would lead to postulated intermediates that are
scarcely reliable. Any insight gained with this approach re-
sulting in a more enantioselective or higher yielding reaction
would be most likely obtained thanks to serendipity, rather
than a logical strategy. Our target was surely to optimize
this reaction, but proceeding through a rational strategy
rather than a trial-and-error approach.
For the exploration of the chemical space, we identified
some parameters that were most likely influencing the reac-
tion outcome, but whose effect was not clear from the mon-
odimensional screening table routinely reported in the ma-
jority of works dealing with asymmetric catalysis. To select
the most significant experiments, we employed a computer-
assisted set-up of the experiment,[11] which allows a more
complete exploration of the multidimensional chemical
space. This approach is routinely exploited in process chem-
istry (DOE or design of experiment), but we are unaware of
previous systematic applications screening catalysts or con-
ditions for new asymmetric reaction, like the one described
in the present work.[12] The parameters we decided to ana-
A D-optimal design was then built considering 5 factors
(catalyst, addition of [PdACTHNUTRGNE(NUG OAc)2], catalyst amount, solvent,
and time) and the number of experiments to be performed
together with set of design points was selected hypothesizing
a non-linear effect only for three of the factors (the latter
three) and assuming a priori that specific binary interactions
could be considered as insignificant.
The best condition led to the isolated product 4a in 46%
yield with 95% ee (Table 2 entry 2). We stress the fact that
these conditions have been found not by serendipity, but
though a systematic exploration of the chemical space. This
experimental set-up is an approach to gain insight about our
specific problem. To include a statistic treatment of error it
would have been necessary to systematically include repli-
cated runs, which would have been beyond the scope of our
investigation at this stage.[14,15]
We then tested if the optimal reaction conditions found
for the synthesis of compound 4a would have also been a
Chem. Eur. J. 2013, 00, 0 – 0
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