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proteinsSTRUCTURE O FUNCTION O BIOINFORMATICS
Molecular dynamics simulations of theactive matrix metalloproteinase-2:Positioning of the N-terminal fragmentand binding of a small peptide substrateNatalia Dıaz* and Dimas Suarez
Departamento de Quımica Fısica y Analıtica, Universidad de Oviedo, Oviedo (Asturias), Spain
INTRODUCTION
Matrix metalloproteinases (MMPs) are a family of structurally related,
zinc- and calcium-containing enzymes that catalyze the breakdown of connec-
tive tissue. Accordingly, they play a central role in all the physiological pro-
cesses requiring tissue turnover and remodelling, but their expression is also
known to increase in various inflammatory, malignant, and degenerative dis-
eases. This has led to considerable efforts in the development of MMP inhibi-
tors that would be applied during the treatment of these pathologies.1,2
However, the toxicity demonstrated in clinical trials by some of these inhibi-
tors, which most likely results from a nonspecific inhibition, clearly stresses
the need for more selective compounds capable of discriminating among the
different members of this important protease family.3,4
The MMP-2 enzyme, also termed gelatinase A, plays a key role in angio-
genesis thanks to its ability to hydrolyze collagen type IV, which is the main
component of the basement membrane, as well as interstitial collagens like
type I.5,6 In addition, the expression of MMP-2 has been demonstrated in
many different human tumors and inflammatory processes.7–9 The tridimen-
sional structures currently available for MMP-2 correspond to the latent
pro-enzyme (PDB codes: 1CK7, 1GXD, and 1EAK), in which an N-terminal
pro-peptide (Pro31-Asn109; 1CK7 numbering) blocks the access to the active
site cleft in the catalytic domain.10,11 In addition, X-ray crystallography and
nuclear magnetic resonance (NMR) methods have been employed to analyze
the structure of the isolated catalytic domain of the enzyme bound to
hydroxamic acid inhibitors, which interact with the catalytic zinc ion (Zn1)
located in the active site.12,13 However, the structural and dynamical details
of the interaction between the active MMP-2 enzyme and their relevant pep-
tide substrates, like the collagen triple helix, are largely unknown. This infor-
mation would be mostly relevant to characterize the reaction mechanism
catalyzed by the enzyme and to elucidate the regions that can be exploited in
the rational design of more selective inhibitors.
The crystal structures of several MMP enzymes bound to different types of
peptidomimetic inhibitors suggest that peptide substrates would align in the
active site groove by establishing H-bond contacts with several main-chain
The Supplementary Material referred to in this article can be found online at http://www.interscience.wiley.
com/jpages/0887-3585/suppmat/
Grant sponsor: Spanish MEC; Grant number: CTQ2004-06309.
*Correspondence to: Natalia Dıaz, Departamento de Quımica Fısica y Analıtica, Universidad de Oviedo, C/ Julian
Claverıa, 8. 33006, Oviedo (Asturias), Spain. E-mail: [email protected]
Received 6 September 2007; Revised 24 October 2007; Accepted 25 October 2007
Published online 10 January 2008 in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/prot.21894
ABSTRACT
Herein we use different computational
methods to study the structure and
energetic stability of the catalytic do-
main of the active MMP-2 enzyme con-
sidering two different orientations of its
N-terminal coil. The first orientation is
largely solvent accessible and corre-
sponds to that observed in the 1CK7
crystal structure of the proenzyme. In
the second orientation, the N-terminal
coil is packed against the X-loop and
the a3-helix of the MMP-2 enzyme like-
wise in the so-called ‘‘superactivated’’
form of other MMPs. Binding to the
MMP-2 catalytic domain of a short pep-
tide substrate, which mimics the
sequence of the a1 chain of collagen
type I, is also examined considering
again the two configurations of the N-
terminal coil. All these MMP-2 models
are subject to 20 ns molecular dynamics
(MD) simulations followed by MM-
PBSA (Molecular Mechanics Poisson-
Boltzmann Surface Area) calculations.
The positioning of the N-terminal coil
in the ‘‘superactivated’’ form is found to
be energetically favored for the MMP-2
enzyme. Moreover, this configuration of
the N-terminal moiety can facilitate the
binding of peptide substrates. Globally,
the results obtained in this study could
be relevant for the structural-based
design of specific MMP inhibitors.
Proteins 2008; 72:50–61.VVC 2008 Wiley-Liss, Inc.
Key words: enzyme catalysis; hydrolysis;
metalloenzymes; molecular modelling;
structural biology.
50 PROTEINS VVC 2008 WILEY-LISS, INC.
groups located along the b4-strand and in the X-loop of
the catalytic domain, adopting thus a b-sheet structure
(see Scheme 1). Simultaneously, the substrate side chains
would interact with the so-called S3–S03 sites of the cata-
lytic domain.14 According to substrate specificity analy-
sis, two well-defined hydrophobic sites, the S3 and S01pockets, are best suited to accommodate proline residues
and long hydrophobic side chains from the ligands,
respectively.14 Interestingly, previous molecular dynamics
(MD) simulations have shown that the accessibility of
the main binding sites is related to the metal ion content
(Zn(II) and Ca(II)) of the catalytic domain.15 The MD
analyses, performed for the MMP-2 enzyme, point out
that the main binding groups are all accessible only when
two zinc and two calcium ions are bound to the catalytic
domain as observed in the 1CK7 crystal structure.
Besides the structure of the catalytic groove in the
active form of the MMPs, the length and positioning of
the N-terminal coil is also relevant to the proteolytic
activity of the enzyme, a phenomenon that has been
termed ‘‘superactivation’’ in the past.16 Thus, it has been
reported that, in vitro, different activation protocols of
the proenzymes result in different N-terminal residues in
the catalytic domain and in a slightly different hydrolytic
activity.16–18 Subsequent crystallographic studies per-
formed for MMP-1 confirmed that the ‘‘superactivated’’
enzyme displays the N-terminal coil of the catalytic do-
main packed against a concave hydrophobic surface
made up by the a3-helix and part of the long X-loop.The interaction between the N-terminal ammonium
group and the carboxylate side chain of a strictly con-
served aspartic acid from the a3-helix contributes to this
packing of the N-terminal coil.19
According to protein sequence data, the first residue in
the catalytic domain of the active MMP-2 enzyme is
Tyr110.20 However, the two tridimensional structures
reported for this domain begin at Arg115 or Met109, and
both show a quite disordered N-terminus. Thus, no
structural information is available for the MMP-2
enzyme in a conformation similar to that observed in the
‘‘superactivated’’ forms of other MMPs. In this work, we
built computational models, readily comparable with
each other, of the ‘‘N-terminal disordered’’ and ‘‘superac-
Scheme 1Typical MMP-2/substrate contacts. [Color figure can be viewed in the online
issue, which is available at www.interscience.wiley.com.]
Figure 1Ribbon model of the catalytic domain of the MMP-2 enzyme and a molecular surface representation of the hydrophobic groove flanked by the a3-helix and the X-loopshowing the N-UP and N-DOWN orientations adopted by the N-terminal fragment (in sticks). The zinc (in magenta) and calcium (in green) ions are also displayed
as spheres.
N-Terminal Coil and Peptide Substrate in MMP-2
PROTEINS 51
tivated’’ forms of the MMP-2 enzyme starting at Tyr110.
The resulting configurations are denoted arbitrarily as
N-UP and N-DOWN, respectively (see Fig. 1). We exam-
ined first the likely conformations of MMP-2 in the two
different states of the N-terminal fragment by computing
long MD trajectories (20 ns) for the fully solvated
enzyme. From the MD simulations, we analyzed in detail
the influence of the position of the N-terminal coil on
the other structural elements and on the accessibility of
the important binding sites. Furthermore, the relative sta-
bility of the different MMP-2 configurations was assessed
on the basis of Molecular-Mechanics Poisson-Boltzmann
Surface-Area (MM-PBSA) calculations, which were previ-
ously validated by carrying out quantum chemical calcu-
lations on model systems. We also set up computational
models of the MMP-2 enzyme bound to a small peptide
substrate (Ace-Gly-Pro-Gln-Gly�Ile-Ala-Gly-Gln-Nme),
which mimics the sequence of the a1 chain of collagen
type I that is recognized by MMP-2. Again, we consid-
ered the two possible locations of the N-terminal frag-
ment. Along the simulations of the MMP-2/peptide com-
plexes, we characterized the structural and dynamical
changes on substrate binding, the specific role of the key
MMP-2 residues in anchoring the substrate, and the
influence of the N-terminal fragment on the stability of
the enzyme/substrate interactions. The relative binding
free energy of the two complexes was also estimated by
means of the MM-PBSA calculations. Altogether these
theoretical results provide insight into the catalytic pro-
cesses taking place in the active site of the MMP-2
enzyme and can also be useful for the structural-based
design of specific MMP inhibitors.
MATERIALS AND METHODS
Setup of the systems
Initial coordinates for the MMP-2 catalytic domain
were taken from the 1CK7 crystal structure, which corre-
sponds to the Ala404Glu mutant of the full-length pro-
MMP-2 enzyme.10 The propeptide (Pro31-Asn109) and
the C-terminal hemopexin-domain (Leu461-Cys660) were
removed from the initial structure, while the three fibro-
nectin-type domains (Glu217-Gln393) that characterize
gelatinases were replaced by a short peptide segment (Lys-
Gly-Val) using the 1QIB crystal structure as a template.12
Two zinc and two calcium ions were bound to the cata-
lytic domain as observed in the initial 1CK7 structure and
in our previous computational study.15 The ionizable resi-
dues were set to their normal ionization states at pH 7.
To generate the ‘‘N-terminal disordered’’ and the
‘‘superactived’’ forms of the catalytic domain of MMP-2,
we built two protein models differing in the initial posi-
tioning of the N-terminal coil. The initial orientation of
the ‘‘disordered’’ N-terminal fragment corresponds to
that observed in the 1CK7 structure, in which the amino
acids Tyr110-Lys118 do not present significant contacts
with other residues of the catalytic domain.10 This
resulted in the initial N-UP configuration (see Fig. 1).
On the other hand, the 2CLT crystal structure of the
MMP-1 enzyme displays an N-terminal fragment that is
well ordered within the hydrophobic cleft defined by the
a3-helix and the X-loop, and forms one salt-bridge and
several H-bond contacts with other residues of the
enzyme.21 To generate an initial structure for the cata-
lytic domain of the MMP-2 enzyme with the N-terminal
fragment sandwiched between the a3-helix and the X-loop (the N-DOWN model), we superposed the 2CLT
structure onto the 1CK7 one by minimizing the Root
Mean Square deviation (RMSD) of the backbone atoms
of the residues that coordinate the two zinc ions (RMSD
0.45 A). Subsequently, the N-DOWN model of the
MMP-2 enzyme was derived by replacing the coordinates
of the backbone atoms of residues Tyr110-Lys118 with the
corresponding ones in the 2CLT structure (Phe81-Arg89).
Side chain atoms for the Tyr110-Lys118 residues in the
N-DOWN model were constructed using the LEaP pro-
gram.22 Because the LEaP program does not select
between side chain rotamers to avoid steric clashes, the
system was properly relaxed by energy minimizations
before starting the simulations. Two water molecules
trapped within a cavity formed around the N-terminal
ammonium group in the 2CLT structure21 were also
included in the N-DOWN model.
Docking Calculations
To obtain an initial structure for the complex formed
between the catalytic domain of the MMP-2 enzyme and
the Ace-Gly-Pro-Gln-Gly�Ile-Ala-Gly-Gln-Nme peptide
substrate (the C1 peptide), we followed a ‘‘mixed’’
approach in which the valuable structural information
provided by the crystal structures of several MMP com-
plexes with different types of peptide-like inhibitors1,14
was merged with the results of automatic docking calcu-
lations. First, the backbone of the peptide substrate was
manually built in an extended b-conformation and
placed within the MMP-2 active site of the previously
edited 1CK7 X-ray structure (i.e., in the N-UP model).
The conformation of the non-primed moiety of C1 (P4–
P1) was then refined using the 1JAP crystal structure as a
template, which corresponds to the complex formed
between the MMP-8 enzyme and the nonprimed (P3–P1)
Pro-Leu-Gly-hydroxamic acid inhibitor.23 In this way,
the C1 proline residue in P3 was properly placed within
the S3 hydrophobic pocket defined by the Tyr182, His193,
and Phe195 side chains, and the P1 carbonyl group was
positioned close to the catalytic zinc ion (Zn1). The Gly-
Pro (P4–P3) peptide bond of C1 was manually built in
the most frequent trans conformation. For the primed
moiety of the substrate (P 01–P
04), our initial model estab-
lished H-bond contacts with several backbone groups
N. Dıaz and D. Suarez
52 PROTEINS
from the b4-strand and the X-loop of MMP-2, in agree-
ment with the available crystal structures for primed-
inhibitors.14 In addition, the P01 side chain of C1 was
located inside the S01 hydrophobic channel.To further refine the contacts between the peptide sub-
strate and the enzyme, as well as to perform a conforma-
tional sampling of the two ends of the C1 peptide (Ace-
Gly2 and 2Gln-Nme) for which no previous structural
information was available, we employed the LMOD pro-
gram linked to the AMBER package.22 LMOD imple-
ments a conformational search algorithm based on eigen-
vector following of low frequency vibrational modes that
allows flexible docking and protein loop optimization.24
During the LMOD calculations, all the protein residues,
except the N-terminal coil and the residues coordinating
the zinc and calcium ions, were allowed to move. We
employed the parm94 force field and a distant-dependent
dielectric constant to mimic solvent effects. A total of
2400 LMOD iterations were computed by exploring 12
low-frequency vibrational modes. Eigenvectors were
recalculated every 10 LMOD iterations. In addition to
the internal motions, we applied four rigid body rota-
tional and translational motions to the ligand at each
LMOD iteration.
The LMOD calculations generated a total of 50 low
energy structures for the MMP-2/C1 complex. Inspection
of these structures confirmed that the C1 substrate main-
tains the main enzyme/ligand contacts that were present
in the initial structure. The structure with the lowest
LMOD energy was then selected to build the N-UP/C1
and N-DOWN/C1 models following the same prescrip-
tions that were used for the native form of the enzyme.
MD Simulations
The initial structures of the N-UP, N-DOWN, N-UP/
C1, and N-DOWN/C1 models were surrounded by a per-
iodic box of TIP3P water molecules that extended 15 A
from the protein atoms. In addition, counterions were
placed to neutralize the systems. This resulted in a total
of 2527 protein atoms being solvated by �11,500 water
molecules. The parm94 version of the all-atom AMBER
force field was used to model the system.25 For the cal-
cium ions, we employed the nonbonded representation
proposed by Aqvist.26 For the zinc ions, we used a set of
MM parameters that have been developed and tested by
us in a previous work.15 Particularly for the catalytic
Zn1, a mixed bonded and nonbonded representation is
adopted in which the metal ion is linked to the His403-
Ne, His407-Ne, His413-Ne atoms and the bridging
[Zn��(OH2)]21���2OOC��Glu404 water molecule by
explicit MM bonds. In contrast, the fifth ligand, a TIP3P
water molecule in the N-UP and N-DOWN models or
the P1 carbonyl group of the C1 peptide in N-UP/C1
and N-DOWN/C1, is represented by the standard non-
bonded parameters. This mixed description allows sol-
vent exchange and flexible substrate binding at the apical
position of the Zn1 site. For the tetrahedral Zn2 site, we
employed a fully bonded representation in which Zn2was bonded to the His178-Ne, Asp180-Od, His193-Ne, andHis206-Nd atoms. This Zn2 parameterization resulted in a
stable tetrahedral coordination environment as observed
in the 1CK7 crystal structure. Further details of the Zn1/
Zn2 parameterization (reference bond lengths, atomic
charges, etc.) can be found elsewhere.15
In our previous work on the MMP-2 enzyme,15 the
force field parametrization of Zn1 and Zn2 in the free form
of the MMP-2 enzyme has been tested by performing
energy minimizations and short MD simulations, showing
that the average Zn-ligand distances and angles extracted
from the MD simulations remain close to the reference
QM/MM values. In this work, the quality of the Zn1 repre-
sentation in the presence of the C1 peptide was similarly
assessed by performing a QM/MM energy minimization of
the Michaelis complex in the N-UP/C1 model. The com-
parison of the Zn-ligand distances and angles computed
with the hybrid DFT/MM method and the average values
obtained from a short MD simulation of the complex fur-
ther validates the force field representation employed for
Zn1 (see Supporting Information for details).
Energy minimizations and MD simulations were car-
ried out using the SANDER and PMEMD programs
included in the AMBER 9.0 suite of programs.22 The
solvent molecules and counterions were initially relaxed
by means of energy minimizations and 50 ps of MD.
Subsequently, the full systems were minimized to remove
bad contacts in the initial geometry and heated gradually
to 300 K during 60 ps of MD. The SHAKE algorithm
was employed to constraint all R–H bonds, and periodic
boundary conditions were applied to simulate a continu-
ous system. A nonbonded cutoff of 10.0 A was used
whereas the Particle-Mesh-Ewald (PME) was employed
to include the contributions of long-range interactions.27
The pressure (1 atm) and the temperature (300 K) of the
system were controlled during the MD simulations by
Berendsen’s method.28 A 20 ns trajectory was computed
for each model with a time step of 2 fs. Coordinates
were saved for analysis every 1 ps.
Only the last 15.0 ns of each trajectory were analyzed
using the CARNAL module of AMBER and some other
specific software developed locally. The solvent accessible
surface area (SASA) of the MMP-2 systems was com-
puted using the MSMS program.29 We also computed
the radius of accessibility to important anchorage points
along the active site cleft as described previously.15
Structural figures were produced with the programs Mol-
script and Raster3D.30,31
Energetic analyses of the MD trajectories
The MM-PBSA approach can perform several types of
free energy calculations (protein–protein binding ener-
N-Terminal Coil and Peptide Substrate in MMP-2
PROTEINS 53
gies, conformational energies of protein loops, etc.).32,33
Basically, the MM-PBSA calculations predict mean values
of free energies as estimated over a series of representa-
tive snapshots extracted from classical MD simulations.
The snapshots are postprocessed through the removal of
all solvent and counterions. Then one calculates the aver-
age free energy of the set of structures according to the
following equation:
G � EMM þ 3RT þ GPBSA � TSMM ð1Þ
where G is the estimated average free energy and EMM is
the average molecular mechanics energy,
EMM ¼ Ebond þ Eangle þ Etors þ EvdW þ Eelec ð2Þ
where these correspond to the bond, angle, torsion, van
der Waals, and electrostatic terms in the molecular
mechanics force field. The term 3RT in Eq. (1) is the en-
thalpy of the six translation and rotational degrees of
freedom in the classical limit. GPBSA is the solvation free
energy obtained from Poisson-Boltzmann electrostatic
calculations augmented with an estimate of the nonpolar
free energy via molecular area, and 2TSMM is the solute
entropy which can be estimated by molecular mechanics
normal mode calculations and standard statistical me-
chanical formulae.32 Subsequently, one can estimate the
DG for ligand association to proteins using the following
equation:
DG ¼ Gcomplex � Gprotein � Gligand ð3Þ
where the three G terms are usually evaluated using the
snapshots from a single MD trajectory of the complex
(the one trajectory approximation). Here, the binding
free energies are computed for a standard state of 1 M.
As a consequence, the translational entropy for each
component (complex, protein, ligand) is 6.4 cal/(mol K)
smaller than the entropy value obtained for the standard
state of an ideal gas owing to the change in concentra-
tion from 0.045 M (ideal gas) to 1 M (solution).33
In this work, a set of 300 representative structures
extracted every 50 ps along the MD trajectories were
postprocessed to calculate the free energies of the cata-
lytic domain of the MMP-2 enzyme. The AMBER force
field was used to compute (no cutoff) the EMM terms
defined in Eq. (2). The electrostatic contributions to the
solvation free energy were determined with the Poisson-
Boltzmann approach, which represents the solute as a
low dielectric continuum (a value of eint 5 1 was used in
the calculations) with embedded charges and the solvent
as a high dielectric continuum (eout 5 80) with no salt.
Atomic charges and radii were taken from the AMBER
representation of the MMP-2 models. The dielectric
boundary is the contact surface between the radii of the
solute and the radius (1.4 A) of a water probe molecule.
The PBSA program included in the AMBER 9.0 pack-
age22 was employed to solve the linearized PB equation
on a cubic lattice with a grid spacing of 0.5 A.
Solute entropic contributions were estimated using the
NMODE module of the AMBER 9.0 package.22 The
nmode program uses the normal modes and standard
statistical thermodynamic formulae to estimate entropic
contributions (due to the high computational demand,
normal mode calculations were performed only for 100
snapshots). Before the normal mode calculations, the
geometries of the MMP-2 models described by their
AMBER representations were minimized until the root-
mean-square deviation of the elements in the gradient
vector was less than 1025 kcal/(mol A). The ROAR 2.0
program34 was used to carry out the geometry optimiza-
tions driven by a limited memory BFGS minimizer. All
minimizations and normal mode calculations were car-
ried out with a distance-dependent dielectric constant (e5 4r) to mimic solvent screening with no cutoff for the
nonbonded interactions. As noted in previous work,35
this normal mode analysis only approximately estimates
solute entropy.
Validation Calculations
The relative stability of the N-UP and N-DOWN
MMP-2 models is mainly determined by their relative
solvation energies and the strength of intraprotein and
enzyme–substrate contacts. All these interactions can be
taken into account by means of the MM-PBSA calcula-
tions. However, to better calibrate the performance of the
MM-PBSA approach for our particular problem, we car-
ried out a series of test calculations using both quantum
chemical and MM-PBSA methodologies to estimate the
average interaction energy between the first 10 amino
acid residues of the MMP-2 enzyme (i.e., the N-terminal
fragment) and a protein subsystem formed by residues of
the a3-helix and the X-loop that interact with the N-ter-
minal fragment along the N-DOWN simulation (His407,
Ala408, Met409, Gly410, Leu411, Glu412, His413, Ser414,
Asp436, Asp437, Lys439, Gly440, Glu443, Leu444). Terminal
N-methylamine or acetyl groups were placed at the C-
and N-backbone atoms of those residues cleaved from
the protein main chain by the truncation process (see
Fig. S2 in the Supporting Information).
The DFT energies were obtained using the TURBO-
MOLE suite of programs.36 We employed the PBE func-
tional37 combined with a double-f plus polarization
basis set (SVP).38 The DFT interaction energies in the
gas-phase were corrected for the Basis Set Superposition
Error by means of the counterpoise method. To estimate
the effect of the solvent environment on the DFT
energies, we used the conductor-like screening model
(COSMO) included in TURBOMOLE in which the sol-
vent dielectric continuum is approximated by a scaled
conductor.39 All the DFT calculations were performed in
N. Dıaz and D. Suarez
54 PROTEINS
the framework of the multipole accelerated ‘‘resolution-
of-the-identity’’ approximation (MARI-J) using the
appropriate auxiliary basis set.40,41
Since the PBE gradient-corrected density functional is
unable to describe dispersive interactions, the DFT energy
terms were augmented with an dispersion energy contri-
bution, Edisp, that was computed using an empirical for-
mula that has been introduced by Elstner et al.42 to
extend their approximate DFT method43 for the descrip-
tion of dispersive interactions. The Edisp expression con-
sists basically of a C6/R6 term, which is appropriately
damped for short R distances. We used the same parame-
ters for C, N, O, S, and H and combination rules as
those described by Elstner et al.42
A total of 25 interaction energy calculations were per-
formed on coordinates extracted from the N-DOWN
MD trajectory at time intervals of 50 ps. For each one of
the 25 structures, the interaction energy (DEint) between
the N-terminal fragment and the selected protein residues
in a3-helix and the X-loop was computed by means of
the MM-PBSA and DFT-based methodologies (see Table S2
in the Supporting Information). The MM-PBSA and DFT
DEint data are correlated to each other, the corresponding
linear correlation coefficient being 0.933. The resultant av-
erage values for the interaction energy (DEint) were 243.4
and 247.7 kcal/mol at the MM-PBSA and the DFT levels,
respectively, the standard error of the DEint values being 1.0
and 1.7 kcal/mol. Given that the unsigned difference
between the MM-PBSA and DFT values (4.3 kcal/mol) is
not large, we expect that the MM-PBSA method can pre-
dict relative interaction energies comparable with those pre-
dicted by the more sophisticated PBE method.
RESULTS AND DISCUSSION
MD simulations of the native form of MMP-2
In Table I, we collect the Root Mean Squared Deviation
(RMSD) and the Root Mean Squared Fluctuation
(RMSF) values obtained for the N-UP and N-DOWN tra-
jectories of the native enzyme. We found that the main
differences in the backbone RMSDs between the two
models arise in the N-terminal coil (2.61 � 0.31 A versus
3.30 � 0.10 A), in the b3-strand (0.88 � 0.31 A vs. 0.46
� 0.12 A), and in the b4–b5 connecting loop (0.66 �0.10 A vs. 1.02 � 0.31 A). With respect to the local flexi-
bility, the N-terminal coil becomes clearly more ordered
along the N-DOWN trajectory, in which it remains well
positioned within the hydrophobic crevice defined by the
a3-helix and the X-loop (see Fig. 1). Thus, the backbone
RMSF values of the N-terminal coil shift from 1.09 �0.37 A for the N-UP simulation to 0.41 � 0.09 A for the
N-DOWN model. In turn, the b4–b5 connecting loop
becomes significantly more flexible along the N-DOWN
simulation (from the 0.29 � 0.07 A measured for N-UP
to 0.60 � 0.17 A along N-DOWN). The radius of gyra-
tion and the Solvent Accessible Surface Area (SASA) val-
ues confirm that the N-DOWN model is more compact
than the N-UP one. The main differences in the local
contributions to the SASA values arise in the a3-helix, inthe N-terminal coil, and in the X-loop (see Fig. 1)
because these secondary structure elements become less
solvent exposed on going from N-UP to the N-DOWN
model. In contrast, the b4–b5 connecting loop is more
solvent accessible along the N-DOWN trajectory.
In Figure S3 of the Supplementary Material, we repre-
sent the superposition of the average structures obtained
from the N-UP and N-DOWN simulations onto the ini-
tial X-ray structure. Inspection of this figure shows that,
along the two simulations, only the first part of the N-
terminal coil (nine residues: from Tyr110 to Lys118)
diverges significantly from the initial X-ray structure. The
stability of the Trp119��NH���Oh��Tyr445�H��bond con-
tact (97%, 3.07 � 0.16 A for N-UP and 94%, 3.13 �0.16 A for N-DOWN) determines that both average
structures clearly superpose onto the X-ray one at this
position. For the N-UP model, the first nine residues of
the N-terminal coil give only two contacts with the rest
of the catalytic domain: the Lys116 backbone contacts the
Pro197 carbonyl group from the b4-b5 connecting loop
(2.97 � 0.15 A and 99% of occupancy), while Phe113interacts with the Phe195 aromatic ring that borders the
Table IAverage Values and Standard Deviations for RMSD, RMSF, Radius of Gyration,
and Solvent Accessible Surface Area (SASA) Derived from the MD Simulations
N-UP N-DOWN N-UP/C1 N-DOWN/C1
RMSD (�)All heavya 2.01 � 0.16 2.02 � 0.10 1.96 � 0.11 2.04 � 0.09Backbonea 1.52 � 0.14 1.52 � 0.11 1.42 � 0.08 1.55 � 0.09Helix a2b 0.37 � 0.04 0.40 � 0.05 0.41 � 0.05 0.38 � 0.05Helix a3b 0.73 � 0.07 0.71 � 0.06 0.75 � 0.07 0.71 � 0.06Strand b4b 0.23 � 0.06 0.25 � 0.06 0.23 � 0.05 0.22 � 0.04N-term coil 2.61 � 0.31 3.30 � 0.10 2.46 � 0.28 3.41 � 0.12Zn/Ca S loopb 1.28 � 0.12 1.29 � 0.19 1.55 � 0.15 1.23 � 0.11b4-b5 loopb 0.66 � 0.10 1.02 � 0.31 0.53 � 0.11 1.04 � 0.48X loopb 1.31 � 0.20 1.20 � 0.19 0.98 � 0.14 1.19 � 0.14
RMSF (�)All heavya 1.23 � 0.14 1.01 � 0.11 0.98 � 0.09 1.01 � 0.12Backbonea 0.94 � 0.15 0.81 � 0.09 0.68 � 0.08 0.73 � 0.08Helix a2b 0.24 � 0.04 0.24 � 0.05 0.24 � 0.04 0.24 � 0.05Helix a3b 0.35 � 0.08 0.30 � 0.08 0.31 � 0.08 0.27 � 0.06Strand b4b 0.18 � 0.07 0.18 � 0.06 0.15 � 0.05 0.13 � 0.04N-terminal coilb 1.09 � 0.37 0.41 � 0.09 1.10 � 0.20 0.43 � 0.11Zn/Ca S loopb 0.73 � 0.23 0.69 � 0.14 0.55 � 0.12 0.42 � 0.10b4-b5 loopb 0.29 � 0.07 0.60 � 0.17 0.32 � 0.08 0.73 � 0.18X loopb 0.67 � 0.18 0.64 � 0.18 0.61 � 0.14 0.65 � 0.19
Radius of gyrationc (�)15.3 � 0.1 15.2 � 0.0 15.5 � 0.2 15.1 � 0.0
SASA (�2)9376 � 163 9074 � 133 9517 � 146 8974 � 144
aWithout including the random N-terminal coil (residues Asn111-Asn122).bCorresponding to the backbone heavy atoms.cX-ray value (1CK7) 14.8 A.
N-Terminal Coil and Peptide Substrate in MMP-2
PROTEINS 55
S3 hydrophobic pocket (5.23 � 0.95 A between the centre
of mass of the phenyl rings). In contrast, the N-terminal
fragment establishes very stable H-bond contacts with
several residues from the a3-helix and the X-loop during
the N-DOWN simulation. Particularly, the Tyr110��NH3
1���2OOC��Asp436 salt bridge between the N-
terminal ammonium group and the conserved aspartic
acid placed in the a3-helix is well maintained during the
N-DOWN simulation (2.83 � 0.13 A and 100% of occu-
pancy). In addition, Asn111 contacts with Glu412 from the
X-loop through a direct Asn111��O���HN��Glu412 H-
bond interaction (2.94 � 0.14 A and 100% of occu-
pancy) and through a buried water molecule (Asn111��NH���Wat���O��Glu412, 99% of occupancy). Similarly, the
Phe113 amino group remains H-bonded to the Gly410 car-
bonyl group placed at the beginning of the X-loop (2.99
� 0.15 A and 99% of occupancy) all along the N-
DOWN trajectory.
In Table II, we show the radii of accessibility15 com-
puted for important substrate anchorage points located
in the MMP-2 active site cleft. The values in Table II
confirm that the binding sites for the peptide backbone
groups (see Scheme 1) are readily accessible along the N-
UP and N-DOWN trajectories. For the S3 hydrophobic
pocket bordered by the Tyr182, His193, and Phe195 rings,
however, the radius of accessibility computed for the
His193 side chain increases significantly ongoing from N-
UP (3.28 � 1.10 A) to N-DOWN (4.67 � 0.66 A), sug-
gesting that the position adopted by the N-terminal coil
can affect the dimension and stability of this site. In fact,
we see in Figure 2 that the relative orientation of the
Tyr182, His193, and Phe195 side chains depends on the
positioning of the N-terminal coil. Thus, two hydropho-
bic contacts are observed in the N-UP simulation: (a) the
Phe113 side chain (N-terminal coil) pairs with Phe195(S3); (b) the Tyr182 phenol group partially overlaps the
His193 side chain (4.65 � 0.98 A). In the N-DOWN con-
Table IIAverage Values and Standard Deviations for the Radii of Accessibility (A) of
Important Anchorage Points Located in the Binding Site Cleft of the MMP-2
Catalytic Domain
N-UP N-DOWN N-UP/C1a N-DOWN/C1a
Gly189 CO 4.72 � 1.00 5.78 � 0.43 3.81 � 0.55 4.14 � 0.74Leu191 N 2.44 � 0.37 2.60 � 0.45 2.22 � 0.19 2.34 � 0.15Ala192 N 2.13 � 0.30 1.83 � 0.31 2.24 � 0.14 2.23 � 0.18Ala192 CO 2.51 � 0.40 3.84 � 0.33 2.70 � 0.34 2.43 � 0.18His193 3.28 � 1.10 4.67 � 0.66 5.11 � 0.47 5.24 � 0.37Ala194 N 2.15 � 0.31 2.20 � 0.32 2.16 � 0.26 1.90 � 0.19Ala194 CO 4.96 � 0.62 4.03 � 0.70 5.62 � 0.41 4.53 � 0.45His403 2.53 � 0.34 2.74 � 0.27 2.28 � 0.13 2.34 � 0.14His407 CO 2.21 � 0.34 1.70 � 0.18 1.97 � 0.33 1.74 � 0.37Gly410 CO 3.77 � 0.70 1.22 � 0.16 2.71 � 0.46 0.95 � 0.14Ala419 CO 1.14 � 0.25 1.56 � 0.37 2.30 � 0.43 1.66 � 0.29Pro423 CO 5.03 � 1.10 5.71 � 0.52 3.30 � 0.53 4.17 � 0.91Tyr425 N 3.27 � 0.59 4.49 � 1.01 2.74 � 0.32 2.56 � 0.26Val400 (S01)
b 2.36 � 0.29 2.27 � 0.21 2.17 � 0.13 2.30 � 0.12Val400 (X)
c 0.76 � 0.22 0.78 � 0.19 1.67 � 0.33 1.11 � 0.22
aThe radii of accessibility of N-UP/C1 and N-DOWN/C1 were computed after
deleting the coordinates of the C1 peptide.bWith the X-loop secondary door blocked.cWith the S01 main-door blocked.
Figure 2Structure of the S2 region and the S3 hydrophobic pocket as observed in representative snapshots from the N-UP and N-DOWN simulations.
N. Dıaz and D. Suarez
56 PROTEINS
figuration, the Tyr182, His193, and Phe195 side chainsadopt a more solvent accessible conformation (see Fig. 2)while the Phe113 side chain extends alongside the S2region, approximately bordered by residues from His407to His413,44 thus reducing the accessibility of some S2subsites (see the changes in the radii of accessibility ofthe His407��CO, and Gly410��CO groups in Table II).
In the crystal structure of the MMP-2 enzyme, the S01pocket is a channel that connects a main entrance located
adjacent to the catalytic Zn1 ion with a secondary door
encircled by residues from the X loop.15 We found that the
accessibility of the S01 pocket is hardly influenced by the
positioning of the N-terminal coil as shown by the racc val-
ues of the Val400 and His403 side chains (see Table II). Thus,
the His403 side chain, which is placed at the S01 main en-
trance, displays similar racc values along both the N-UP
(2.53 � 0.34 A) and N-DOWN (2.74 � 0.27 A) simulations.
Similarly, Val400, located inside the S01 site, is also readily ac-
cessible from the active site cleft (2.36 � 0.29 A for N-UP
and 2.27 � 0.21 A for N-DOWN). However, we note that
the racc value of Val400 passing though the secondary door is
reduced to 0.8 � 0.2 A, that is, the S01 site becomes a closed
pocket during the N-UP and N-DOWN simulations.
MM-PBSA calculations of N-UPand N-DOWN
As the backbone conformation of the N-terminal resi-dues remained quite stable along the last 15 ns of the N-UP and N-DOWN MD simulations, it is likely that theN-terminal coil is trapped in two different local freeenergy minima. To estimate the relative stability of thetwo conformers of the N-terminal coil, we computed theMM PBSA free energy of the N-UP and N-DOWN mod-els. For systems of similar size, it has been shown thatthe correlation time for decay of fluctuations of the sumof the EMM and GPBSA energies is about 1 ps.33 Thus, weexpect that the N-UP and N-DOWN snapshots used forfree energy evaluation, which were extracted at timeintervals of 50 ps, are independent.
Table III contains the average values of the energetic
terms that are combined to estimate the MM-PBSA free
energy for the N-UP and N-DOWN MMP-2 configura-
tions. From the Gtotal values in Table III, the relative sta-
bility of the two models can be assessed directly. Thus, it
turns out that the interaction of the N-terminal coil with
the a3-helix and the X-loop (N-DOWN) is energetically
more favourable than the more solvent-accessible orienta-
tion (N-UP) by 13 kcal/mol. This energy difference is sig-
nificantly larger than the standard errors and, therefore,
N-DOWN would be the most likely model representing
the native form of the MMP-2 catalytic domain. Accord-
ing to the relative values of the free energy components
in Table III, the larger stability of the N-DOWN model
stems from stronger intraprotein contacts accounted for
by the Eelec and EvdW terms, which overcompensate both
the entropic and desolvation penalties associated to the
N-UP?N-DOWN process. This is in consonance with
the structural analyses that characterize N-DOWN as the
most compact and less flexible configuration.
MD simulations of the MMP-2/peptidecomplexes
Binding of the Ace-Gly-Pro-Gln-Gly�Ile-Ala-Gly-Gln-
Nme peptide (labeled as C1) to the MMP-2 active site
does not induce significant changes in the global struc-
ture of the host enzyme. In Table I, we see that the
RMSD values obtained for the N-UP/C1 and N-DOWN/
C1 trajectories are similar to those obtained for the N-UP
and N-DOWN simulations of the native enzyme, res-
pectively. Concerning protein mobility, the presence of
the C1 peptide slightly reduces the flexibility of the
N-UP configuration (from 0.94 � 0.15 A to 0.68 � 0.08 A)
whereas the global RMSF values are more comparable for
the two N-DOWN models (0.81 � 0.09 A and 0.73 �0.08 A).
Figure 3 shows the positioning of C1 in the MMP-2active site and the main H-bond contacts that contribute
Table IIIAverage Values for the MM-PBSA Free Energy Components (kcal/mol) of the MMP-2 Models
EMM Eelec EvdW DGPBSA 2TSMM Gtotal
N-UP 22780.4 (5.4) 24935.6 (4.9) 2637.9 (1.2) 22228.6 (4.2) 21837.8 (0.7) 26845.0 (3.0)0.0
N-DOWN 22940.6 (4.1) 25073.4 (3.7) 2655.8 (1.1) 22090.7 (3.3) 21828.5 (0.5) 26858.2 (2.6)2160 2138 218 138 9 213
N-UP/C1 22982.9 (4.5) 25201.0 (4.2) 2698.9 (1.1) 22192.6 (4.2) 21919.3 (0.7) 27093.0 (2.9)0.0
N-DOWN/C1 23196.4 (4.4) 25391.2 (3.5) 2729.9 (1.2) 22021.9 (3.4) 21908.8 (0.5) 27125.3 (3.0)2213 2190 231 171 10 232
DEMM DEelec DEvdW DGPBSA 2TDSMM DGbinding
N-UP/C1 2158.9 (0.8) 289.2 (0.8) 269.7 (0.2) 108.2 (0.7) 36.3 (0.6) 214.3 (0.9)N-DOWN/C1 2166.8 (0.6) 296.8 (0.6) 269.9 (0.2) 104.9 (0.6) 32.8 (0.4) 229.0 (0.7)
Relative differences are in italics. Standard errors of average values are indicated in parentheses.
N-Terminal Coil and Peptide Substrate in MMP-2
PROTEINS 57
to the binding of the peptide substrate along the N-UP/C1 and N-DOWN/C1 trajectories. From the docking cal-culations followed by the 20 ns MD simulations, we pre-dict that C1 binds to MMP-2 in an extended conforma-tion that is stabilized by the following H-bond contacts(67–100% of occupancy) connecting the important back-bone positions in the b4-strand and the X-loop of theenzyme with the corresponding backbone amide groupsof C1: Ala194��O���HN��Gln(P2), Ala194��NH���O��
Gln(P2), Ala192��O���HN��Ile(P01), Leu191��NH���O��Ile(P01), Pro423��O���HN��Ala(P02), Tyr425��NH���O��Ala(P02), Gly189��O���HN��Gly(P03). These interactions areequally stable regardless of the UP/DOWN conformationof the N-terminal coil as the relatively short C1 peptideand the N-terminal coil do not give any direct contact.However, it is clear that binding of larger and more com-plex substrates like collagen could be sterically moreimpeded in the N-UP model (see Fig. 3).
Figure 3Ribbon models and molecular surface representations of the last snapshot from the N-UP/C1 and N-DOWN/C1 trajectories (the C1 peptide and the N-terminal coil are
depicted in sticks with carbon atoms shown in green and orange, respectively). Schematic representation of the main enzyme/substrate binding determinants (average
distances are in A).
N. Dıaz and D. Suarez
58 PROTEINS
The most important difference in the MMP-2/C1 polar
interactions between the N-UP/C1 and N-DOWN/C1 sim-
ulations corresponds to the contacts established by the P2glutamine side chain, which points towards the broadly
defined S2 binding site. Thus, the Gln(P2) side chain, that
can rotate freely along the N-UP/C1 trajectory, gives only
a weak His407��NdH���Oe��Gln(P2) interaction (42%,
3.10 � 0.21 A). However, in the N-DOWN/C1 simulation,
the Gln(P2) side chain is basically locked in a stable
Gln(P2)��NeH��e��Glu412 H-bond contact (86%, 2.97 �0.21 A). The origin of this difference in the enzyme/sub-
strate contacts at P2 can be traced back to the positioning
adopted by the N-terminal coil. In the N-UP/C1 configu-
ration, the Glu412 side chain is fully solvent accessible and
scarcely interacts with other residues. In contrast, a short
segment of the N-terminal coil (Asn111-Phe113) is located
around the Glu412 side chain along N-DOWN/C1 (see Fig.
3), restricting thus the mobility of this residue and favour-
ing its interaction with the Gln(P2) side chain.
Hydrophobic contacts contribute also to anchor the C1
substrate within the MMP-2 active site. Thus, the P3 proline
residue remains accommodated in the S3 hydrophobic
pocket during the two simulations of the MMP-2/C1 com-
plex. The distances between the center of mass of the side
chains bordering the S3 pocket (Tyr182, His193, and Phe195)
and the P3 proline ring vary between 4.3 and 6.1 A for the
N-UP/C1 simulation, and 4.2-5.1 A for the N-DOWN/C1
trajectory. In addition, the P01 leucine side chain is located
in the S01 hydrophobic pocket interacting with the Leu191,
Ala192, and Val400 side chains (the distances between the
centre of mass of the side chains lie in the 5.1–5.6 A range).
To find out to what extent the presence of the C1 sub-
strate influences the accessibility and shape of the enzyme
binding sites, it can be useful to compare the corre-
sponding radii of accessibility computed for both the
unbound and the C1-bound MMP-2 models (the coordi-
nates of C1 were removed before the racc calculations, see
Table II). For the backbone anchorage points located in
the b4-strand and in the X-loop (Leu191, Ala192, Ala194,
Pro140, etc.), their racc values in the N-UP/C1 and N-
DOWN/C1 configurations tend to have lower average
values (�2.2 A) and to exhibit lower fluctuations than in
the unbound models. Notwithstanding, the accessibility
of the majority of these sites is very similar in all the
simulations, showing thus that the unbound enzyme is
well preorganized to give these important H-bond con-
tacts. Perhaps the observed changes in the shape of the
S03 and S1 hydrophobic pockets can be of more interest.
Thus, the racc values suggest that the S03 pocket becomes
larger when it is occupied by the proline P3 residue, what
was confirmed by visual inspection. We also note that
the architecture of the occupied S3 pocket does not
depend on the location of the N-terminal coil, in con-
trast with the results obtained for the unbound models.
Concerning the S01 pocket, it turns out that the presence
of the isoleucine P01 side chain favours the opening of its
secondary entrance as shown by the computed racc values
for Val400 when the main door is blocked, which amount
to 1.67�0.33 A (N-UP/C1) and 1.11�0.22 A (N-DOWN/
C1) (see Fig. 3). The observed flexibility of the S01 and S3sites on substrate binding suggest that protein/ligand
docking analyses, which normally consider the protein to
be rigid, should be treated with caution when analyzing
the ligand interactions with these hydrophobic pockets.
MM-PBSA calculations of N-UP/C1and N-DOWN/C1
As shown in Figure 3, the positioning of the N-termi-
nal coil results in a moderate effect on the nature and
structure of the C1 binding determinants, the main dif-
ference arising at the level of the Gln(P2) side chain con-
tacts. However, the MM-PBSA energetic analyses sum-
marized in Table III point out that, on substrate binding,
the packaged conformation of the N-terminal coil
becomes more stable by about 19 kcal/mol with respect
to the unbound form of MMP-2. When we analyze the
corresponding changes in the different free energy com-
ponents, we see that the presence of C1 modifies the rel-
ative values of Eelec, EvdW, and GPBSA by 252, 213, and
133 kcal/mol, respectively, showing thus that the electro-
static intra-protein contacts are most reinforced in the
N-DOWN/C1 model. Reciprocally, the MM-PBSA bind-
ing free energy between the MMP-2 catalytic domain and
the C1 peptide is about 15 kcal/mol larger in absolute
value in the N-DOWN/C1 model than in N-UP/C1. In
this case, the electrostatic and desolvation contributions
tend to favor the binding of the C1 peptide when the
N-terminal coil is in its ‘‘superactivated’’ form. Part of the
energetic stabilization of the N-DOWN/C1 model can be
due to the Gln(P2)��NeH��e��Glu412 interaction that is
formed only in this configuration. However, besides this
local interaction, it is likely that the N-terminal coil posi-
tioning and the C1 binding can influence each other
through medium-range electrostatic interactions, which
should stabilize preferentially their approximate antiparallel
alignment as in the N-DOWN/C1 configuration (see Fig. 3).
At this point, it may be interesting to note that the
predicted energetic preference for positioning the N-ter-
minal coil within the hydrophobic groove defined by the
a3-helix and the X-loop, either in the unbound or in the
complexed form of MMP-2, seems in consonance with
the ‘‘superactivation’’ phenomenon observed for other
MMPs.16 Nevertheless, we also note that a full descrip-
tion of ‘‘superactivation’’ is beyond the scope of this
work because it involves kinetic effects and the considera-
tion of N-terminal coils of variable length.
Implications for the catalytic mechanism
All the described polar and hydrophobic contacts
between MMP-2 and C1 are compatible with the car-
N-Terminal Coil and Peptide Substrate in MMP-2
PROTEINS 59
bonyl group of the Gly(P1) residue acting as the fifth
ligand around the catalytic Zn1 ion. Thus, the computed
average Gly(P1)��O���Zn1 distances are 2.25 � 0.14 A for
N-UP/C1 and 2.31 � 0.16 A for N-DOWN/C1 (note
that the Gly(P1)��O���Zn1 bond was not explicitly
defined in the force field representation of Zn1). In prin-
ciple, the polarization of the Gly(P1) carbonyl group
induced by the metal ion could facilitate the nucleophilic
attack by the Zn1-bound water molecule (Wat1), which
in turn, connects the Zn1 ion and the conserved Glu404side chain through a Zn1���OH2���Oe��Glu404 bridge.
Most interestingly, in our MD simulations, the average
Gly(P1)��C���O��Wat1 distance is only 2.97 � 0.11 A for
N-UP/C1 and 2.87 � 0.10 A for N-DOWN/C1, the cor-
responding values for the Gly(P1)��O���Gly(P1)��C���Wat1-O angle being (71 � 5)8 and (76 � 6)8. There-fore, it is clear that the C1 decapeptide adopts a reactive
configuration in the MMP-2 active site in which Wat1 is
properly oriented to readily attack the carbonyl group of
the peptide bond with the assistance of the conserved
glutamate residue (Glu404 in MMP-2), in agreement with
a previously proposed reaction mechanism for the MMP
enzymes.45 However, other reactive events along the cata-
lytic mechanism, like the protonation and/or departure of
the leaving amino group, may require some rearrangement
of the substrate within the active site groove and they
could determine the global rate of the catalytic process.
Implications for inhibitor design
On the basis of the structural and energetic results pre-
sented in this work, we propose that the N-DOWN/C1
configuration would be the most likely model for repre-
senting the reactive state of the MMP-2 catalytic domain.
This model not only complements the previous NMR
and X-ray structural information available for the MMP-
2 enzyme, either in its proactive form or in the presence
of inhibitors, but it can also be considered as a starting
point for the structure-based design of specific MMP-2
inhibitors.
On one hand, representative snapshots from the N-
DOWN/C1 MD simulation could be employed as tem-
plates in further computational drug discovery studies.
On the other hand, the MD results are useful to locate
more precisely the important binding determinants and/
or to assess the relative importance of the different con-
tacts. For example, the primed moiety of C1 (P01–P04)establishes five stable H-bond interactions with the
MMP-2 enzyme during the simulation, whereas the non-
primed residues (P1–P4) give only two or three (see Fig.
3). This computational observation is in agreement with
experimental results in which inhibitors that mimic the
sequence of the primed residues of peptide substrates ex-
hibit a better inhibition than those mimicking the ‘‘non-
primed’’ sites.1 However, it has also been observed that
sequence variability in the ‘‘nonprimed’’ sites is likely to
have an influence on substrate recognition across the
MMP family.1,44 Consequently, the ‘‘nonprimed’’ posi-
tions of peptidomimetic inhibitors could offer better
selectivity among the MMP enzymes and modulate the
primary binding force provided by Zn1-complexation
and occupation of the S01 pocket. For the MMP-2 enzyme,
kinetic experiments using a peptide phage library have
shown that P2 is a key residue in conferring selectivity
over the structurally related MMP-9 enzyme.46 Unfortu-
nately, the S2 site, which is located nearby the Zn1 ion,
comprises a relatively large and shallow region on the
MMP-2 surface bordered by seven residues (His407-
His413) in which well-defined anchorage points are not
easily distinguished a priori. Interestingly, the N-DOWN/
C1 simulation of the MMP-2 enzyme reveals that the
side chains of the P2 residue (Gln in C1) and the Glu412residue can form a stable interaction at the S2 site. This
interaction is promoted by the presence of part of the N-
terminal coil flanking the Glu412 side chain, altering thus
the structure of the S2 site with respect to the NMR and
X-ray structures. Our results suggest that optimization of
the P2���Glu412 interaction revealed by the N-DOWN/C1
simulation could lead to the design of novel inhibitors
with increased affinity for the MMP-2 enzyme.
ACKNOWLEDGMENTS
The authors thankfully acknowledge the computer
resources, technical expertise, and assistance provided by
the Barcelona Supercomputing Center – Centro Nacional
de Supercomputacion.
REFERENCES
1. Whittaker M, Floyd CD, Brown P, Gearing AJH. Design and thera-
peutic application of matrix metalloproteinase inhibitors. Chem Rev
1999;99:2735–2776.
2. Fingleton B. Matrix metalloproteinases as valid clinical targets. Curr
Pharm Design 2007;13:333–346.
3. Cuniasse P, Devel L, Makaritis A, Beau F, Georgiadis D, Matziari M,
Yiotakis A, Dive V. Future challenges facing the development of
specific active-site-directed synthetic inhibitors of MMPs. Biochimie
2005;87:393–402.
4. Nuti E, Tuccinardi T, Rossello A. Matrix metalloproteinase inhibi-
tors: new challenges in the era of post broad-spectrum inhibitors.
Curr Pharm Design 2007;13:2087–2100.
5. Birkedal-Hansen H, Moore WG, Bodden MK, Windsor LJ, Birke-
dal-Hansen B, DeCarlo A, Engler JA. Matrix metalloproteinases: a
review. Crit Rev Oral Biol Med 1993;4:197–250.
6. Aimes RT, Quigley JP. Matrix metalloproteinase-2 is an interstitial
collagenase. Inhibitor-free enzyme catalyzes the cleavage of collagen
fibrils and soluble native type I collagen generating the specific 3/4-
and 1/4-length fragments. J Biol Chem 1995;270:5872–5876.
7. Makelaa M, Larjavab H, Pirilac E, Maisid P, Saloe T, Sorsac T, Uit-
tob VJ. Matrix metalloproteinase 2 (Gelatinase A) is related to
migration of keratinocytes. Exp Cell Res 1999;251:67–78.
8. Nguyen M, Arkell J, Jackson CJ. Human endothelial gelatinases and
angiogenesis. Int J Biochem Cell Biol 2001;33:960–970.
9. Turpeenniemi-Hujanen T. Gelatinases (MMP-2 and -9) and their
natural inhibitors as prognostic indicators in solid cancers. Biochi-
mie 2005;87:287–297.
N. Dıaz and D. Suarez
60 PROTEINS
10. Morgunova E, Tuuttila A, Bergmann U, Isupov M, Lindqvist Y,
Schneider G, Tryggvason K. Structure of human pro-matrix metal-
loproteinase-2: activation mechanism revealed. Science 1999;284:
1667–1670.
11. Morgunova E, Tuuttila A, Bergmann U, Tryggvason K. Structural
insight into the complex formation of latent matrix metalloprotei-
nase 2 with tissue inhibitor of metalloproteinase 2. Proc Nat Acad
Sci USA 2002;99:7414–7419.
12. Dhanaraj V, Willians MG, Ye QZ, Molina F, Johnson LL, Ortwine
DF, Pavlovsky A, Rubin JR, Skeean RW, White AD, Humblet C,
Hupe DJ, Blundell TL. X-ray structure of gelatinase A catalytic do-
main complexed with a hydroxamate inhibitor. Croatica Chem Acta
1999;72:575–591.
13. Feng Y, Likos JJ, Zhu L, Woodward H, Munie G, McDonald JJ,
Stevens AM, Howard CP, De Crescenzo GA, Welsch D, Shieh HS,
Stallings WC. Solution structure and backbone dynamics of the
catalytic domain of matrix metalloproteinase-2 complexed with a
hydroxamic acid inhibitor. Biochim Biophys Acta 2002;1598:10–23.
14. Maskos K. Crystal structures of MMPs in complex with physiologi-
cal and pharmacological inhibitors. Biochimie 2005;87:249–263.
15. Dıaz N, Suarez D. Molecular dynamics simulations of matrix metal-
loproteinase 2: the role of the structural metal ions. Biochemistry
2007;46:8943–8952.
16. Gioia M, Fasciglione GF, Marini S, D’Alessio S, De Sanctis G, Die-
kmann O, Pieper M, Politi V, Tschesche H, Coletta M. Modulation
of the catalytic activity of neutrophil collagenase MMP-8 on bovine
collagen I. J Biol Chem 2002;277:23123–23130.
17. Knauper V, Wilhelm SM, Seperack PK, Declerck YA, Langley KE,
Osthues A, Tschesche H. Direct activation of human neutrophil
procollagenase by recombinant stromelysin. Biochem J 1993;295:
581–586.
18. Knauper V, Murphy G, Tschesche H. Activation of human neutro-
phil procollagenase by stromelysin 2. Eur J Biochem 1996;235:187–
191.
19. Reinemer P, Grams F, Huber R, Kleine T, Schnierer S, Piper M,
Tschesche H, Bodea W. Structural implications for the role of the N
terminus in the ‘superactivation’ of collagenases: A crystallographic
study. FEBS Lett 1994;338:227–233.
20. Stetler-Stevenson WG, Krutzsch HC, Wacher MP, Margulies IMK,
Liotta LA. The activation of human type IV collagenase proenzyme.
J Biol Chem 1989;264:1353–1356.
21. Iyer S, Visse R, Nagase H, Acharya KR. Crystal structure of an
active form of human MMP-1. J Mol Biol 2006;362:78–88.
22. Case DA, Darden TA, Cheatham I, T. E., Simmerling CL, Wang J,
Duke RE, Luo R, Merz KM, Pearlman DA, Crowley M, Walker RC,
Zhang W, Wang B, Hayik S, Roitberg A, Seabra G, Wong KF, Pae-
sani F, Wu X, Brozell S, Tsui V, Gohlke H, Yang L, Tan C, Mongan
J, Hornak V, Cui G, Beroza P, Mathews DH, Schafmeister C, Ross
WS, Kollman PA. AMBER 9. San Francisco: University of California;
2006.
23. Bode W, Reinemer P, Huber R, Kleine T, Schnierer S, Tschesche H.
The X-ray crystal structure of the catalytic domain of human neu-
trophil collagenase inhibited by a substrate analogue reveals the
essentials for catalysis and specificity. EMBO J 1994;13:1263–1269.
24. Kolossvary I, Guida WC. Low mode search. An efficient, automated
computational method for conformational analysis: application to
cyclic and acyclic alkanes and cyclic peptides. J Am Chem Soc
1996;118:5011–5019.
25. Cornell WD, Cieplak P, Bayly CI, Gould IR, Merz KM, Jr, Ferguson
DM, Spellmeyer DC, Fox T, Caldwell JW, Kollman PA. A second
generation force field for the simulation of proteins, nucleic acids,
and organic molecules. J Am Chem Soc 1995;117(19):5179–5197.
26. Aqvist J. Ion-water interaction potentials derived from free energy
eerturbation simulations. J Phys Chem 1990;94:8021–8024.
27. Essman V, Perera L, Berkowitz ML, Darden T, Lee H, Pedersen LG.
A smooth particle-mesh-ewald method. J Chem Phys 1995;103:
8577–8593.
28. Berendsen HJC, Potsma JPM, van Gunsteren WF, DiNola AD, Haak
JR. Molecular dynamics with coupling to and external bath. J Chem
Phys 1984;81:3684–3690.
29. Sanner MF, Olson AJ, Spehner J-C. Reduced surface: an efficient
way to compute molecular surfaces. Biopolymers 1996;38:305–320.
30. Kraulis PJ. Molscript: a program to produce both detailed and sche-
matic plots of protein structures. J Appl Cryst 1991;24:946–950.
31. Merritt EA, Bacon DJ. Raster3D: photorealistic molecular graphics.
Meth Enzymol 1997;277:505–524.
32. Kollman PA, Massova I, Reyes C, Kuhn B, Huo S, Chong L, Lee M,
Lee T, Duan Y, Wang W, Donini O, Cieplak P, Srinivasan J, Case
DA, Cheatham TE. Calculating structures and free energies of com-
plex molecules: combining molecular mechanics and continuum
models. Acc Chem Res 2000;33:889–897.
33. Gohlke H, Case DA. Converging free energy estimates: MM-
PB(GB)SA studies on the protein–protein complex Ras–Raf. J
Comput Chem 2003;25:238–250.
34. Cheng A, Stanton RS, Vincent JJ, van der Vaart A, Damodaran KV,
Dixon SL, Hartsough DS, Mori M, Best SA, Monard G, Garcia M,
Van Zant LC, Merz KMJ. ROAR 2.0. The Pennsylvania State Uni-
versity; 1999.
35. Chong LT, Duan Y, Wang L, Massova I, Kollman PA. Molecular dy-
namics and free energy calculations applied to affinity maturation
in antibody 48G7. Proc Natl Acad Sci USA 1999;96:14330–14335.
36. Ahlrichs R, Bar M, Haser M, Horn H, Kolmel C. Electronic struc-
ture calculations on workstation computers: the program system
Turbomole. Chem Phys Lett 1989;162:165–169.
37. Perdew JP, Burke K, Ernzerhof M. Generalized gradient approxima-
tion made simple. Phys Rev Lett 1996;77:3865–3868.
38. Schafer A, Horn H, Ahlrichs R. Fully optimized contracted Gaus-
sian basis sets for atoms Li to Kr. J Chem Phys 1992;97:2571–2577.
39. Schafer A, Klamt A, Sattel D, Lohrenzc JCW, Eckert F. COSMO
implementation in TURBOMOLE: extension of an efficient quan-
tum chemical code towards liquid systems. Phys Chem Chem Phys
2000;2:2187–2193.
40. Sierka M, Hogekamp A, Ahlrichs R. Fast evaluation of the Coulomb
potential for electron densities using multipole accelerated resolu-
tion of identity approximation. J Chem Phys 2003;118:9136–9148.
41. Eichkorn K, Treutler O, Ohm H, Haser M, Ahlrichs R. Auxiliary
basis sets to approximate Coulomb potentials. Chem Phys Lett
1995;242:652–660.
42. Elstner M, Hobza P, Frauenheim T, Suhai S, Kaxiras E. Hydrogen
bonding and stacking interactions of nucleic acid base pairs: a density-
functional-theory based treatment. J Chem Phys 2001;114: 5149–5154.
43. Elstner M, Porezag D, Jungnickel G, Elsner J, Haugk M, Frauen-
heim T, Suhai S, Seifert G. Self-consistent-charge density-functional
tight-binding method for simulations of complex materials proper-
ties. Phys Rev B 1998;58:7260–7268.
44. Chen EI, Li W, Godzik A, Howard EW, Smith JW. A residue in the
S2 subsite controls substrate selectivity of matrix metalloproteinase-
2 and matrix metalloproteinase-9. J Biol Chem 2003;278:17158–17163.
45. Pelmenschikov V, Siegbahn PEM. Catalytic mechanism of matrix
metalloproteinases: two-layered ONIOM study. Inorg Chem
2002;41:5659–5666.
46. Chen EI, Kridel SJ, Howard EW, Li W, Godzik A, Smith JW. A
unique substrate recognition profile for matrix metalloproteinase-2.
J Biol Chem 2002;277:4485–4491.
N-Terminal Coil and Peptide Substrate in MMP-2
PROTEINS 61