Picomolar Inhibitors as Transition-State
Probes of 5 = -Methylthioadenosine
Nucleosidases
Jemy A. Gutierrez
†,¶
, Minkui Luo
†,¶
, Vipender Singh
†
, Lei Li
†
, Rosemary L. Brown
‡
, Gillian E. Norris
‡
,
Gary B. Evans
§
, Richard H. Furneaux
§
, Peter C. Tyler
§
, Gavin F. Painter
§
, Dirk H. Lenz
§
, and
Vern L. Schramm
†,
*
†
Department of Biochemistry, Albert Einstein College of Medicine, Bronx, New York, 10461,
‡
Institute of Molecular
Biosciences, Massey University, Private Bag 11222, Palmerston North, New Zealand, and
§
Carbohydrate Chemistry Team,
Industrial Research Ltd., Lower Hutt, New Zealand.
¶
Contributed equally to this work.
E
nzymes accelerate reactions by lowering the ac-
tivation barriers for the formation of transition
states. Transition-state theory suggests that the
catalytic acceleration provided by an enzyme is propor-
tional to the free energy released upon binding of
transition-state analogues ( 1, 2). Stable transition-state
analogue inhibitors that ideally mimic geometric and
electrostatic features of a transition state are proposed
to bind to the enzyme more tightly than substrate by a
factor approaching the enzyme-imposed rate accelera-
tion. Most enzymes have substrate Michaelis constant
(K
m
) values in the millimolar to micromolar range and
catalytic accelerations on the order of 10
10
-10
15
.
Therefore, perfect transition-state analogues are ex-
pected to show dissociation constants ( K
d
) of 10
-14
-
10
-23
M(3). The elucidation of transition-state struc-
tures therefore provides a blueprint for generating po-
tent, tight-binding inhibitors. Conversely, probing en-
zymes with structurally diverse transition-state ana-
logues can be a powerful tool to differentiate closely re-
lated isozymes by revealing the variations at their transi-
tion states. Isozymes are now known to exhibit charac-
teristic transition-state structures, and comparing the
structural differences among these transition states can
provide valuable information for designing target-
specific inhibitors ( 4 –7).
Enzymatic transition states are difficult to probe be-
cause of their short lifetimes, the complications of en-
zyme matrix, and rate-limiting steps that are not in-
volved with bond breaking or formation. The use of
linear free energy relationships with an array of sub-
*Corresponding author,
vern@aecom.yu.edu.
Received for review August 6, 2007
and accepted October 5, 2007.
Published online November 16, 2007
10.1021/cb700166z CCC: $37.00
© 2007 American Chemical Society
ABSTRACT Transition states can be predicted from an enzyme’s affinity to re-
lated transition-state analogues. 5=-Methylthioadenosine nucleosidases (MTANs)
are involved in bacterial quorum sensing pathways and thus are targets for anti-
bacterial drug design. The transition-state characteristics of six MTANs are com-
pared by analyzing dissociation constants (K
d
) with a small array of representa-
tive transition-state analogues. These inhibitors mimic early or late dissociative
transition states with K
d
values in the picomolar range. Our results indicate that the
K
d
ratio for mimics of early and late transition states are useful in distinguishing
between these states. By this criterion, the transition states of Neisseria meningiti-
des and Helicobacter pylori MTANs are early dissociative, whereas Escherichia
coli, Staphylococcus aureus, Streptococcus pneumoniae, and Klebsiella pneu-
moniae MTANs have late dissociative characters. This conclusion is confirmed in-
dependently by the characteristic [1=-
3
H] and [1=-
14
C] kinetic isotope effects (KIEs)
of these enzymes. Large [1=-
3
H] and unity [1=-
14
C] KIEs are observed for late disso-
ciative transition states, whereas early dissociative states showed close-to-unity
[1=-
3
H] and significant [1=-
14
C] KIEs. K
d
values of various MTANs for individual
transition-state analogues provide tentative information about transition-state
structures due to varying catalytic efficiencies of enzymes. Comparing K
d
ratios
for mimics of early and late transition states removes limitations inherent to the en-
zyme and provides a better predictive tool in discriminating between possible
transition-state structures.
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