Communications
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point for further optimization. Development of more accu-
rate functions for the estimation of binding affinity remains a
key requirement for further progress in the de novo design of
even more potent inhibitors.
[21] S. Shuto, H. Takada, D. Mochizuki, R. Tsujita, Y. Hase, S. Ono,
N. Shibuya, A. Matsuda, J. Med. Chem. 1995, 38, 2964 – 2968.
[22] Diastereoisomer ratio determined by high-resolution NMR
analysis. Attempts to separate the diastereomeric mixture
under a variety of HPLC conditions proved unsuccessful.
[23] Apparent Ki values were estimated with the method of Y. Cheng,
W. H. Prusoff, Biochem. Pharmacol. 1973, 22, 3099 – 3108. For
DdlB assays (Km for the first d-Ala site on DdlB = 3.3 mm),
activity was monitored by detection of orthophosphate using
malachite green; see: P. A. Lanzetta, P. S. Alvarez, P. S. Reinach,
O. A. Candia, Biochemistry 1979, 18, 95 – 98. Assays were
performed at 378C with inhibitor 1 (between 0.003 mm and
32 mm), DdlB (0.32 mm), and enzyme substrate in reaction
buffer: (HEPES (50 mm, pH 8), ATP (1 mm), MgCl2 (10 mm),
KCl (10 mm), d-Ala (2.5 mm)), malachite green-molybdate
(50 mm, malachite green hydrochloride (0.045% w/v) and
ammonium molybdate (4.2% w/v) in 4-n HCl). VanAassays
were performed with the same inhibitor concentration range as
for DdlB by using the method of I. A. Lessard, V. L. Healy, I. S.
Park, C. T. Walsh, Biochemistry 1999, 38, 14006 – 14022, follow-
ing the d-Ala and d-lactate dependent release of ADP.
In summary, it appears that SPROUT-based de novo
design holds tremendous potential for the rapid discovery of
selective inhibitors of DdlB and related enzymes. We believe
that this approach is complementary to the use of high-
throughput screening and is particularly attractive for cases in
which such screening methodology is not available or in which
access to large collections of library compounds of sufficient
molecular diversity is limited.
Received: May 13, 2005
Revised: June 4, 2005
Published online: September 13, 2005
Keywords: inhibitors · ligases · medicinal chemistry ·
.
molecular modeling · molecular recognition
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