Tetrahedron Letters
Anticancer agent synthesis designed by artificial intelligence:
Pd(OAc)2-catalyzed one-pot preparation of biphenyls and its
application to a concise synthesis of various diazofluorenes
Tetsuhiko Takabatake a, Hiroki Tomita b, Syo Okada b, Natsumi Hayashi c, Takashi Masuko c,
Masahiro Toyota b,
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a Advanced Materials Development Laboratory, Sumitomo Chemical Co., Ltd., 1-98, Kasugadenaka, 3-chome, Konohana-ku, Osaka 554-8558, Japan
b Department of Chemistry, Graduate School of Science, Osaka Prefecture University, Sakai, Osaka 599-8531, Japan
c Faculty of Pharmacy, Kindai University, 3-4-1 Kowakae, Higashiosaka City, Osaka 577-8502, Japan
a r t i c l e i n f o
a b s t r a c t
Article history:
We successfully synthesized the antitumor agent 1-methoxydiazofluorene via an artificial intelligence
(AI)-proposed design. The pivotal biphenyl scaffold of 1-methoxydiazofluorene was constructed by
applying Pd(OAc)2-catalyzed cycloaromatization, a method developed by our group. AI-proposed func-
tional group conversion of the biphenyl intermediate provided 9-diazo-1-methoxy-9H-fluorene, which
inhibits the proliferation of HeLa cells, was achieved in reasonable chemical yield. In addition, various
diazofluorenes were synthesized using the above protocol and their antitumor effects were evaluated.
As a result, several novel diazofluorenes, which have a stronger cytotoxic activity than cisplatin against
various human epithelial cancer cells, were found.
Received 23 June 2020
Revised 14 July 2020
Accepted 16 July 2020
Available online 14 August 2020
Keywords:
Artificial intelligence
Antitumor agent
Biphenyl
Ó 2020 Elsevier Ltd. All rights reserved.
Diazofluorene
Introduction
added to the evaluation of each synthetic route. Furthermore, the
verification of experimental results significantly depends on the
Artificial intelligence (AI) is playing an increasingly significant
role in many fields [1]. AI is being utilized in self-driving cars [2],
humanoid robots [3], and to produce medical diagnoses [4], to
name a few examples. It will eventually develop to a stage where
machines will work as teammates with humans. How exactly will
AI evolve in the future? How quickly will AI transform the way
people live? While the answer to these questions cannot be known
at present, what is clear is that the field of synthetic organic chem-
istry is lagging behind in transitioning to the use of AI. One of the
major advantages of AI is its ability to make swift and accurate cal-
culations in determining the next best move, and this trait is lever-
aged in the use of AI in games and competitions. Similarly, if the AI
loses, it can be upgraded via feedback gained by the experience.
These concepts can be used to apply AI in the field of synthetic
organic chemistry, although additional layers of complication must
be considered. For example, verification experiments are essential
in order to evaluate synthetic routes proposed by AI, and there are
a number of factors that determine the superiority or inferiority of
AI-proposed synthetic routes. The total yield, number of steps,
reaction safety, and toxicity of intermediates and byproducts are
skill of the experimenters. All of these make the evaluation of AI
programs more complex. It therefore takes a long time to complete
the verification experiments of the proposed synthetic routes, and
this has contributed to the delay in the development and utiliza-
tion of AI in organic synthetic chemistry.
In our previous paper related to AI-proposed drug synthesis, we
demonstrated that our AI program, SYNSUP [5], is a useful tool in
synthetic organic chemistry [6]. The reaction conditions of the
key reaction (1 ? 2) were studied after tuning a part of the reac-
tion substrate structure proposed by the SYNSUP program
(Scheme 1). Although the reaction mechanism of the key step
was different from the one originally proposed, we found a novel
method for the stereoselective synthesis of trans b-lactams. The
usefulness of the protocol was verified by the demonstration of
the total synthesis of SCH 47949 (3), a cholesterol absorption inhi-
bitor [7]. It is worth noting that the functional group conversions
(2 ? 3) in this synthesis were all identical with the transforma-
tional processes proposed by AI.
As part of an effort to demonstrate the versatility of AI-pro-
posed target molecule synthesis, we herein report a Pd(OAc)2-cat-
alyzed one-pot preparation of biphenyls and its application to 9-
diazo-1-methoxy-9H-fluorene (4) synthesis. 1-Methoxydiazo-fluo-
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Corresponding author.
0040-4039/Ó 2020 Elsevier Ltd. All rights reserved.