A R T I C L E S
Talhout et al.
evaluated using a twin range cutoff. Interactions within the shorter-
range cutoff (0.9 nm) were evaluated every step, whereas interactions
within the longer cutoff (1.4 nm) were updated every five steps, together
with the pair list. To correct for the neglect of electrostatic interactions
thermodynamic properties to the microscopic structure of the
system. Specifically, MD simulations have been used to study
the structural changes that accompany binding and to predict
the change in Gibbs energy given a particular structural model.
beyond the 1.4 nm cutoff, a reaction field (RF) correction with ꢀRF
)
78.0 was used. To maintain constant temperature and pressure, a
Berendsen thermostat33 was applied. The protein, inhibitor, and solvent
were independently coupled to a temperature bath (25 °C) with a
coupling time of 0.1 ps. The pressure was held at 1 bar, with a coupling
Experimental Section
Synthesis of Inhibitors. The p-alkylbenzamidinium chlorides were
synthesized using modified literature procedures.23-25 Details of the
synthesis and analysis of the products are given in the Supporting
Information.
time of 0.5 ps. The isothermal compressibility was 4.6 × 10-5 bar-1 33
.
The time step was 0.002 ps. The bond lengths and angle in water were
constrained using the SETTLE algorithm.34 Bond lengths within the
protein were constrained using the LINCS algorithm.35
Isothermal Titration Calorimetry. Trypsin solutions were prepared
as described previously.15 Titration experiments were performed using
either an Omega isothermal titration calorimeter (Microcal, Inc.,
Northampton, MA) coupled to a nanovolt preamplifier in order to
improve the signal-to-noise ratio or an MCS isothermal titration
calorimeter (Microcal, Inc.). Both machines were connected to a water
bath for temperature control. The instruments were calibrated using
standard electrical pulses. Inhibitor solutions (5-10 mM, determined
by weight, depending on the specific inhibitor) were titrated into the
stirred (350 rpm) cell (1.3249 or 1.3496 mL, respectively) containing
a degassed (ca. 10 min) trypsin solution (ca. 0.15 mM) after a stable
baseline (rms noise < 0.0050) was achieved. The injection sequence
consisted of an initial injection of 1 µL to prevent artifacts arising from
the filling of the syringe (not used in data fitting), followed by injections
of 5 µL each at 300-s intervals until saturation was reached. To correct
for the heat of dilution and mixing, blank titrations of inhibitor into
buffer were subtracted from the inhibitor-enzyme titration. Data were
analyzed using Origin software (Microcal, Inc.), assuming a single
binding site.26 This yielded ∆H (enthalpy of binding) and K (binding
constant). Measurements were repeated at least three times; K was
reproducible to within 10%, and ∆H was reproducible to within 5%.
Errors in ∆Cp were within 5%.
Computational Techniques. The starting structure of the benza-
midinium-trypsin complex was taken from the Brookhaven Protein
Data Bank (PDB structure 3PTB).12 The nine inhibitors were placed
in the S1 pocket of the enzyme by superimposing the benzamidinium
ion within the crystallographic complex. The protein and the bound
inhibitor were hydrated in a box containing ∼5700 simple point charge
(SPC)27 water molecules. The protein and inhibitors were described
using the GROMOS96 (43a2) force field,28,29 in which aliphatic
hydrogen atoms are treated as united atoms, together with the carbon
atom to which they are attached. The charges of ionizable groups were
appropriate for pH 7.0. Arg and Lys were protonated. Asp and Glu
were unprotonated. Histidines were neutral. Tautomeric forms were
based on local interactions. For His57, which is close to the binding
pocket, the Nδ1-H tautomer was chosen.
Free Energy Calculations. The difference in Gibbs energy between
two states of a system was determined using the coupling parameter
approach in conjunction with the thermodynamic integration (TI)
formula:36
λB
∂H(λ)
∂λ
∆GA-B
)
dλ
λ
(1)
∫
λA
In this approach, the Hamiltonian H is made a function of a coupling
parameter, λ. The λ-dependence of the Hamiltonian defines a pathway
which connects two states of the system, denoted by A and B. To solve
eq 1, the ensemble average at a number of discrete λ-points was
obtained by performing separate simulations for each chosen λ-point,
and the integral was determined numerically.
The change in Gibbs energy resulting from the changes in the
inhibitor (or protein) was achieved by gradually mutating the atoms of
state A into the atoms of state B. Atoms with no corresponding atoms
in the other state were mutated to “dummy” atoms. A dummy atom
has no nonbonded (Lennard-Jones or electrostatic) interactions with
other atoms. The mutations in this study involved only nonbonded
interactions. The bonded interactions and the masses of the atoms were
not changed, as they make no net contribution to the change in binding
Gibbs energy. The nonbonded interactions between the initial state (A)
and the final state (B) were interpolated using a soft-core potential,37
as implemented in the GROMACS simulation package.31,38
Separate simulations were performed at 18 λ-points from λ ) 0 (state
A) to λ ) 1 (state B). At each λ-point, the system was equilibrated for
50 ps and data were collected for 150 (free inhibitor) or 250 ps
(complex). For complexes with alkyl chains longer than n-propyl, 22
λ points were used with 500 ps sampling. To obtain ∆GA-B, the average,
∂H(λ)/∂λ , at each λ-point (eq 1) was integrated using the trapezoidal
λ
method. The error in ∂H(λ)/∂λ λ was estimated using a block averaging
procedure,39,40 and the errors were integrated to give the total error in
∆GA-B
.
All simulations were performed using the GROMACS (version 3.0)
package30-32 in a periodic triclinic box. Nonbonded interactions were
Results and Discussion
(23) Glock, G. Chem. Ber. 1888, 21, 2650-2659.
Binding Affinity. The thermodynamics of binding of p-
alkylbenzamidinium chlorides (Chart 1) to trypsin were studied
using ITC. Since the solubility of p-n-hexylbenzamidinium
chloride (∼15 mM) was only 3 times higher than the concentra-
tion necessary for the experiments (∼5 mM), solubility problems
(24) Rash, F. H.; Boatman, S.; Hauser, C. R. J. Org. Chem. 1967, 32, 372-
376.
(25) Moss, R. A.; Ma, W.; Merrer, D. C.; Xue, S. Tetrahedron Lett. 1995, 36,
8761-8764.
(26) Wiseman, T.; Williston, S.; Brandts, J. F.; Lin, L. N. Anal. Biochem. 1989,
179, 131-137.
(27) Berendsen, H. J. C.; Postma, J. P. M.; van Gunsteren, W. F.; Hermans, J.
In Intermolecular Forces; Pullman, B., Ed.; Reidel: Dordrecht, 1981; pp
331-342.
(28) van Gunsteren, W. F.; Billeter, S. R.; Eising, A. A.; Hu¨nenberger, P. H.;
Kru¨ger, P.; Mark, A. E.; Scott, W. R. P.; Tironi, I. G. Biomolecular
Simulation: GROMOS96 Manual and User Guide; BIOMOS b.v.: Zu¨rich,
Groningen, 1996.
(33) Berendsen, H. J. C.; Postma, J. P. M.; van Gunsteren, W. F.; DiNola, A.;
Haak, J. R. J. Chem. Phys. 1984, 81, 3684-3690.
(34) Miyamoto, S.; Kollman, P. A. J. Comput. Chem. 1992, 13, 952-962.
(35) Hess, B.; Bekker, H.; Berendsen, H. J. C.; Fraaije, J. G. E. M. J. Comput.
Chem. 1997, 18, 1463-1472.
(29) Schuler, L. D.; van Gunsteren, W. F. Mol. Sim. 2000, 25, 301-319.
(30) Berendsen, H. J. C.; van der Spoel, D.; van Drunen, R. Comput. Phys.
Commun. 1995, 91, 43-56.
(31) Lindahl, E.; Hess, B.; van der Spoel, D. J. Mol. Model. 2001, 7, 306-317.
(32) van der Spoel, D.; van Buuren, A. R.; Apol, E.; Meulenhoff, P. J.; Tieleman,
D. P.; Sijbers, A. L. T. M.; Hess, B.; Feenstra, K. A.; Lindahl, E.; van
Drunen, R.; Berendsen, H. J. C. Gromacs User Manual Version 3.0;
Nijenborgh 4, 9747 AG Groningen, The Netherlands, 2001 (http://
www.gromacs.org).
(36) Mark, A. E. In Encyclopedia of Computational Chemistry; von Rague´
Schleyer, P., Ed.; Wiley: New York, 1998; pp 1070-1083.
(37) Beutler, T. C.; Mark, A. E.; van Schaik, R. C.; Geber, P. R.; van Gunsteren,
W. F. Chem. Phys. Lett. 1994, 222, 529-539.
(38) Villa, A.; Mark, A. E. J. Comput. Chem. 2002, 23, 548-553.
(39) Bishop, M.; Frinks, S. J. Chem. Phys. 1987, 87, 3675-3676.
(40) Allen, M. P.; Tildesley, D. J. Computer Simulations of Liquids; Oxford
Science Publications: Oxford, 1987.
9
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