Pamela Smardz1, Adam K Sieradzan2, Paweł Krupa1. 1. Institute of Physics, Polish Academy of Sciences, Al. Lotników 32/46, 02-668 Warsaw, Poland. 2. Faculty of Chemistry, University of Gdańsk, Wita Stwosza 63, 80-308 Gdańsk, Poland.
Abstract
Disulfide bonds are covalent bonds that connect nonlocal fragments of proteins, and they are unique post-translational modifications of proteins. They require the oxidizing environment to be stable, which occurs for example during oxidative stress; however, in a cell the reductive environment is maintained, lowering their stability. Despite many years of research on disulfide bonds, their role in the protein life cycle is not fully understood and seems to strictly depend on a system or process in which they are involved. In this article, coarse-grained UNited RESidue (UNRES), and all-atom Assisted Model Building with Energy Refinement (AMBER) force fields were applied to run a series of steered molecular dynamics (SMD) simulations of one of the most studied, but still not fully understood, proteins─ribonuclease A (RNase A). SMD simulations were performed to study the mechanical stability of RNase A in different oxidative-reductive environments. As disulfide bonds (and any other covalent bonds) cannot break/form in any classical all-atom force field, we applied additional restraints between sulfur atoms of reduced cysteines which were able to mimic the breaking of the disulfide bonds. On the other hand, the coarse-grained UNRES force field enables us to study the breaking/formation of the disulfide bonds and control the reducing/oxidizing environment owing to the presence of the designed distance/orientation-dependent potential. This study reveals that disulfide bonds have a strong influence on the mechanical stability of RNase A only in a highly oxidative environment. However, the local stability of the secondary structure seems to play a major factor in the overall stability of the protein. Both our thermal unfolding and mechanical stretching studies show that the most stable disulfide bond is Cys65-Cys72. The breaking of disulfide bonds Cys26-Cys84 and Cys58-Cys110 is associated with large force peaks. They are structural bridges, which are mostly responsible for stabilizing the RNase A conformation, while the presence of the remaining two bonds (Cys65-Cys72 and Cys40-Cys95) is most likely connected with the enzymatic activity rather than the structural stability of RNase A in the cytoplasm. Our results prove that disulfide bonds are indeed stabilizing fragments of the proteins, but their role is strongly redox environment-dependent.
Disulfide bonds are covalent bonds that connect nonlocal fragments of proteins, and they are unique post-translational modifications of proteins. They require the oxidizing environment to be stable, which occurs for example during oxidative stress; however, in a cell the reductive environment is maintained, lowering their stability. Despite many years of research on disulfide bonds, their role in the protein life cycle is not fully understood and seems to strictly depend on a system or process in which they are involved. In this article, coarse-grained UNited RESidue (UNRES), and all-atom Assisted Model Building with Energy Refinement (AMBER) force fields were applied to run a series of steered molecular dynamics (SMD) simulations of one of the most studied, but still not fully understood, proteins─ribonuclease A (RNase A). SMD simulations were performed to study the mechanical stability of RNase A in different oxidative-reductive environments. As disulfide bonds (and any other covalent bonds) cannot break/form in any classical all-atom force field, we applied additional restraints between sulfur atoms of reduced cysteines which were able to mimic the breaking of the disulfide bonds. On the other hand, the coarse-grained UNRES force field enables us to study the breaking/formation of the disulfide bonds and control the reducing/oxidizing environment owing to the presence of the designed distance/orientation-dependent potential. This study reveals that disulfide bonds have a strong influence on the mechanical stability of RNase A only in a highly oxidative environment. However, the local stability of the secondary structure seems to play a major factor in the overall stability of the protein. Both our thermal unfolding and mechanical stretching studies show that the most stable disulfide bond is Cys65-Cys72. The breaking of disulfide bonds Cys26-Cys84 and Cys58-Cys110 is associated with large force peaks. They are structural bridges, which are mostly responsible for stabilizing the RNase A conformation, while the presence of the remaining two bonds (Cys65-Cys72 and Cys40-Cys95) is most likely connected with the enzymatic activity rather than the structural stability of RNase A in the cytoplasm. Our results prove that disulfide bonds are indeed stabilizing fragments of the proteins, but their role is strongly redox environment-dependent.
A disulfide bond is a covalent bond formed
between two cysteine
residues by oxidation of thiol groups and can be of inter- or intramolecular
origin. The formation of disulfide bonds is the most unique type of
post-translational modification,[1,2] and it is a necessary
step for most proteins containing disulfide bonds to obtain the correct
conformation.[3] It takes place primarily
in the endoplasmic reticulum (ER),[4] but
it is not limited to it, as it can occur in mitochondrial intermembrane
space or bacterial periplasm.[5]In
eukaryotes, the ER has a more oxidizing environment than the
cytoplasm,[6−8] which is an important factor in thiol–disulfide
exchange reactions that are governed by a variety of catalysts.[9] Reducing–oxidizing conditions, next to
pKa–pH differences, and the spatial
accessibility of cysteines are important factors that influence the
formation of the disulfide bonds.[10,11]Disulfide
bonds are common in nature. On average, more than 50%
of cysteine residues in proteins can form a disulfide bond,[12] and more than 20% of proteins have at least
one disulfide bond[13] present. Disulfide
bonds are present in some of the proteins in reductive cytoplasm,[14] and their number significantly increases during
oxidative stress owing to reversible disulfide bond formation in these
conditions.[15,16]Although disulfide bonds
are studied intensively, both experimentally[17,18] and theoretically,[19,20] they are still an interesting
topic for the scientific community.[21−23] Their role is yet to
be understood fully because some disulfide bonds do not seem to be
essential for conformational stability and dynamics (at least on short
time scales),[24] and the addition of a new
disulfide bond does not always increase protein stability,[25] while its removal does not always compromise
the stability.[26] It is known that covalent
bridges, such as disulfide bonds, can play other roles such as maintaining
rigidity or preventing enzymatic proteolysis while destabilizing the
structure.[27] Their presence can also lead
to amyloidosis,[21] or they can be used in
regulation mechanisms.[28−30] Recent observations show that the presence of the
disulfide bonds stabilizes viral capsids[31,32] and is crucial for the activity of many viral proteins, including
SARS-COV-2.[22]Ribonucleases are an
exceptionally well-studied group of enzymes
that contain disulfide bonds.[33−35] Since the determination of the
bovine pancreatic ribonuclease A (RNase A) amino acid sequence in
1960,[36] a number of experiments have been
performed such as thermodynamic structural studies,[37] tyrosyl–carboxylate ion hydrogen bonding,[38] kinetic denaturation,[39] and much more. RNase A consists of three helices (H1: Thr3–Met13,
H2: Asn24–Arg33, and H3: Ser50–Gln60) and seven β-sheets
(B1: Val43–Val47, B2: Lys61–Val63, B3: Cys72–Gln74,
B4: Met79–Glu86, B5: Tyr97–Lys104, B6: Ile106–Glu111,
and B7: Val116–Ser123 ) and has four disulfide bonds: Cys26–Cys84,
Cys40–Cys95, Cys58–Cys110, and Cys65–Cys72 (Figure )
Figure 1
Cartoon representation
of RNase A (PDB code: 1KF5) with the cysteine
residues and disulfide bonds marked by black sticks. Symbols α
and β indicate α-helices and β-sheets, respectively.
Cartoon representation
of RNase A (PDB code: 1KF5) with the cysteine
residues and disulfide bonds marked by black sticks. Symbols α
and β indicate α-helices and β-sheets, respectively.The lack of even one of the disulfide bonds disrupts
RNase A folding,[3] which makes RNase A a
particularly good model
protein for the study of the influence of the disulfide bond on protein
folding and unfolding processes.[40] The
influence of various physiological conditions, such as hydrostatic
pressure[41] and temperature, on the disulfide
bond stability was studied both experimentally[42] and theoretically.[43] Our recent
computational studies[44] revealed the low
thermal stability of the Cys40–Cys95 disulfide bond contrary
to the other three disulfide bonds, which were relatively stable at
all investigated temperatures.In this article, the influence
of the disulfide bond breaking/formation
on the mechanical stability of RNase A was investigated by performing
Steered Molecular Dynamics (SMD) simulations in all-atom Assisted
Model Building with Energy Refinement (AMBER) and coarse-grained UNited
RESidue (UNRES) force fields. The most semistable intermediate structures
were identified, revealing the high mechanical stability of the Cys65–Cys72
disulfide bond owing to the high stability of this region, which was
also observed experimentally.[45] Moreover,
the RNase A mechanical stability depends on the redox environment.
In the highly oxidizing environment, RNase A is more mechanically
stable.
Methods
As only the UNRES model allows us to study
the dynamic breaking
and formation of the disulfide bonds in the course of simulations,[46] including the possible formation of non-native
bonds, it was selected as the primary method for this investigation.
To compare results, the second set of simulations was run in the all-atom
Amber model. This force field allows the study of only static disulfide
bonds that are present or absent during the whole simulation. To mimic
the bond breaking in the all-atom simulations, restraints were imposed
on the pairs of reduced sulfur atoms of cysteine residues that natively
form disulfide bonds. Performing simulations with both coarse-grained
and all-atom models is beneficial, allowing deeper examination of
the system on different levels of resolution and allowing self-testing
of the methods.
UNRES Coarse-Grained Model
UNRES is a physics-based
coarse-grained force field developed for running simulations of peptides
and proteins, in which[47−49] the polypeptide chain is reduced to two centers of
interaction per residue, namely the peptide group (p) located halfway
between the two centers, consecutive Cα atoms and
the united side-chain (SC). The geometry of the polypeptide chain
is defined by Cα and the geometry centers of the
side-chains, and the mass is uniformly distributed along the bond
(as in the stick) rather than in the single point, allowing for more
physical dynamics.[50] Owing to simplification
of the polypeptide chain and omission of the secondary degrees of
freedom, in the UNRES coarse-grained model events occur 3–4
orders of magnitude faster than in all-atom force fields.[51] The energy in UNRES, which is represented by
a potential of mean force (PMF) of a given conformation ensemble restricted
to a coarse-grained conformation defined by Cα and
SC,[52] includes (i) Udynss disulfide bond formation potentials calculated over all
permutations (nss)[53] and (ii) USSS repulsion potential preventing the formation of triple disulfide
bonds (eq ).[44] The first one was introduced in the UNRES model[46] to allow simulations without interfering, by
pointing in input parameters, as to which pair of cysteine residues
are going to form a bond.[46] Effectively,
the potential allows disulfide bonds to form and break between any
cysteine residues, whether such contacts are present in the native
structure or not, hence allowing the study also of non-native disulfide
bonds in the course of the simulation. The second is essential to
maintain the correct character of disulfide bonds owing to the possibility
of forming higher-order disulfide bonds caused by a highly flexible
coarse-grained chain. The introduction of Udynss and USSS allows the study of the influence of the formation
and disruption of disulfide bonds in the course of the simulation.
We used the UNRES force field where parameters were optimized to reproduce
folding thermodynamics of the tryptophan cage and tryptophan zipper
with an extension to treat the coupling between the backbone and the
side-chain.[54] In this study, the same version
of the UNRES force field was used as in the previous investigation,
in which the thermal stability of the RNase A was studied,[44] allowing direct comparison of the results.where the C is the group
of cysteine residues, r is the distance between the
appropriate cysteines, and a, b, c, and d are user-defined parameters.
Preparation of the System
For both coarse-grained and
all-atom simulations, the RNase A experimental structure (PDB code: 1KF5),[55] obtained at pH 7.1, was adapted as an initial conformation
after the removal of a secondary set of atoms. Such a structure was
then subjected to energy minimization (1000 steps in both models)
and heated to 300 K (or 278 K).
UNRES Coarse-Grained Simulations
In the UNRES model,
only SMD simulations were performed, as conventional MD simulations
were run in the previous paper,[44] proving
the stability of the RNase A. For each of the coarse-grained steered
molecular dynamics simulations, 80 independent trajectories were run
to obtain good sampling, as the coarse-grained model allows for more
conformational flexibility and changes than the all-atom representation.
CG simulations were performed with constant velocity[56] pulling mode with a few different pulling speeds—0.0005,
0.001, 0.002, 0.004, 0.006, 0.008, 0.01, and 0.02 Å/4.89 fs (1
MTU)—to investigate the impact of pulling speed on the results.
It corresponds to pulling speeds from approximately 0.01 to 0.4 m/s
after taking into consideration that in the UNRES coarse-grained force
fields events occur approximately 1000 times faster.[51] The number of steps ranged between 1 000 000
and 15 000 000 with the time step set to 0.489 fs, performed
to ensure a full stretch of the RNase A (over 500 Å); the time
step was controlled with the use of the VTS algorithm.[50] The spring constant was set to 1 kcal/mol/Å2. Langevin dynamics was used with friction scaled down by
a factor of 100, as in previous works,[51] to speed up the simulation, with the temperature of the thermostat
set to 300 K. Snapshots and other information (such as forces) were
saved every 200 steps.The coarse-grained and all-atom simulations
were performed in series that differ by the reductive/oxidative properties
of the environment. Simulations without disulfide bonds did not require
any additional treatment. In simulations with very high oxidative
potential, static disulfide bond treatment was used, in which harmonic
potential was applied like on any other covalent bonds in the UNRES
model. For simulations with highly and weakly oxidative potential,
the simulation environment was controlled by the use of dynamic disulfide
bonds, which allowed for the formation and breaking of disulfide bonds
during the course of the simulation. In the UNRES coarse-grained model,
the depth of the disulfide bond formation potential controls the redox
potential of the environment. It was set to 5.5 kcal/mol for weakly
oxidizing and 11.0 kcal/mol for highly oxidizing environments. The
second contact minimum was not affected by those changes, and only
the bonded depth potential was changed; thus, the energy difference
(energy barrier) between the formed and broken disulfide bond was
effectively doubled.[46] It should be noted
that both values are in the range of experimental findings in different
redox environments (approximately 4–22 kcal/mol).[57]Owing to the use of dummy atoms capping
protein termini in the
UNRES model,[58] the second and second to
the last peptide groups (Glu2 and Ser123) were used as pulling anchors.
Pulling by the second and second to the last residues instead of N-
and C- termini should not have a qualitative impact on the results
owing to low distance changes compared to the terminal residues and
the rather unstructured character of the terminal parts of the RNase
A.[59]
Amber All-Atom Model and Simulations
Amber20 is a software
package including tools to prepare, run, and analyze all-atom molecular
dynamics with a wide selection of methods, force field parameters,
and conditions.[60] As the mechanical stability
of the RNase A upon mechanical stretching would require a big enough
periodic box to fit the whole protein without interbox contacts, it
would require a box with a minimum dimension above 500 Å to fully
stretch RNase A; therefore, running all-atom simulations with explicit
water was not achievable in a reasonable time scale owing to computational
limitations. The implicit solvent model with recommended ff14SBonlysc
force field parameters and modified VdW radii (mbondi3 set) for proteins
was chosen to run MD and SMD simulations with the generalized Born
solvent model, as it is the most reliable Amber implicit solvent model
available to date.[61,62] No pressure scaling and no periodic
boundaries were applied owing to the use of implicit conditions during
simulations. First, conventional MD simulation of RNase A was run
with the presence of all and no disulfide bonds in the structure for
1000 ns. Each simulation consisted of five independent trajectories
to obtain reliable statistical averages. Then all-atom SMD simulations
were performed with a constant force for 2.5 × 109 steps (1.25 × 109 for simulation with predefined disulfide
bonds) with a time step of 2 fs, at a pulling speed of 0.1, 1, and
10 Å/ns, which corresponds to 0.01, 0.1, and 1 m/s, respectively,
each starting from the native conformation. Snapshots and other information
(such as forces) were saved every 5000 and 200 steps, respectively.
As in the coarse-grained simulations, Langevin dynamics was used with
the temperature set to 300 K (or 278 K). Bonds involving hydrogen
were constrained with the SHAKE algorithm to speed up the calculations
and increase their stability. Cα atoms of terminal
residues (Lys1 and Val124) were used as pulling anchors, which is
a close comparison to conditions in the single-molecule AFM experiment.Additionally, SMD simulations with restraints on the native disulfide
bonds imposed were performed. The restraint energy tends to increase
linearly at large values of distance.[60] The restraints function is given by eq :where Urest; is the restraints potential between the ith and jth center, r distance between the ith and jth center, k is the spring
constant, and r1, r2, and r3 are user-defined points
of switching functions.The spring constant was set to 4.0 kcal/mol,
and switching function
distances r1, r2, and r3 were set to 1.8, 3.0, and 4.0
Å, respectively. Those values were adjusted by trial and error
to mimic the UNRES disulfide bond energy profile, which is based on
experimental findings (Figure ) while being numerically stable.
Figure 2
Comparison between dynamic
disulfide bonds energy profile for the
linear Cα–SC···SC–Cα orientation (red) with an all-atom restraints energy
profile, which includes the LJ potential from hydrogen and sulfur
atoms (black).
Comparison between dynamic
disulfide bonds energy profile for the
linear Cα–SC···SC–Cα orientation (red) with an all-atom restraints energy
profile, which includes the LJ potential from hydrogen and sulfur
atoms (black).Above the r3 value,
the restraint energy
depends linearly on the distance; therefore, the force acting on the
system is constant and not distance-dependent. The constant force
value equals 556 pN. In the case of SMD, the addition of the constant
force should not affect the results significantly as the stretching
spring is constantly moving, although it will be reflected as an additional
force in the force against extension plots. Therefore, the force was
subtracted from the results once the disulfide bond was broken.
Data Analysis
Structural properties, such as RMSD,
Rg, and RMSF, were analyzed for classical MD simulations. Root-mean-square
deviation (RMSD), radius of gyration (Rg), and maximum radius of gyration
(Rgmax) were calculated with the cpptraj for 1.0 μs of all-atom
molecular dynamics. The root-mean-square fluctuation (RMSF) was also
calculated with the use of the cpptraj but with the use of the second
half of 1.0 μs conventional MD trajectories.The fraction
of the stable disulfide bond, both native and nonnative, was obtained
by the calculating the distance of Cβ atoms in cysteines
that were involved in the bond, and the cutoff was set to 5.5 Å
to check if the bond was present. The secondary structure was obtained
with the use of the DSSP method of Kabsch and Sander[63] built in the cpptraj. For the coarse-grained structures,
the all-atom representation was rebuilt with the use of PULCHRA[64] to reconstruct the backbone, SCWRL[65] to reconstruct heavy atoms of the side-chains,
and tleap to reconstruct the hydrogens. All the results obtained from
the simulations were averaged over the RNase A extension with the
bin size of 1 Å, and the standard mean error was calculated.
To determine stable structure representatives during stretching, the
ensemble of structures near the force (±1 Å) minima was
extracted. For each conformation in the ensemble, the RMSD to each
other was computed. The one with the lowest sum of the RMSD to other
structures was selected as a representative. Visualization of results
was done with the use of Gnuplot and Pymol.
Results and Discussion
Structural properties, such
as RMSD, Rg, and RMSF plots against
time, were analyzed, revealing that RNase A is stable in the AMBER
force field (total RMSD about 4 and 5 Å for simulation with all
disulfide bonds present and absent, respectively; Figures S1 and S2). Rg plots demonstrate that the use of an
implicit solvent causes a slight tendency to form a more compact structure
(approximately 1 and 1.5 Å decrease of Rg and Rgmax, respectively).
Interestingly, slightly more compact structures were observed for
simulations without disulfide bonds, indicating that the protein without
disulfide bonds can undergo more extensive conformational changes.
Influence of the Temperature and Pulling Speed on SMD Results
Analysis of the SMD simulations run in various conditions (pulling
speed and temperature) showed that SMD results are dependent on several
factors. The exact peak position depends on the speed of pulling (Figure S3). The faster the pulling speed, the
more shifted toward longer extensions the peak position is. This could
be explained as the faster the pulling, the faster the system needs
to adapt and the exterior changes (in this case, moving stretching
spring); therefore, the system lags with the respect to pulling. An
increase in the pulling speed causes the increase of the forces and
relative peak sizes, which is commonly observed in SMD simulations.[52,66] Additionally, owing to the lower amount of time that system has
to adapt to the conformational changes force by applying an additional
force, the differences in behavior between trajectories are larger
in the case of faster pulling speeds, which caused larger observed
SEM values. Extremely high speed (1 m/s) in all-atom simulation leads
the peaks to be less sharp (Figure S3D),
as the structure no longer has time to reform new secondary structures.
The temperature of the simulation also influences the peak position
because the lower the temperature, the slower the conformational changes.
Therefore, the same effect for lower temperature as in the case of
faster pulling is observed (Figure S4).
Interestingly, the shape of the force against extension plots is not
dependent on pulling speed, and apart from pulling speed 0.4 m/s for
coarse-grained simulation and 1 m/s for all-atom simulation, all force-against-stretch
plots bear high similarity to other pulling speeds (Figure S3). The slower the pulling, the larger the ensemble
of conformation for a given extension obtained, which makes analysis
more obscure and difficult, and the force peaks are less visible.
A similar observation was done previously by the group of Klas Schulten
that force constant impacts the magnitude of measured forces, but
it does not affect the qualitative features of the process.[67]For the above reasons, to fully see and
analyze peaks and processes connected to their behavior, we focused
mostly on the analysis of the ≈0.2 m/s pulling speed for coarse-grained
simulations and the 0.1 m/s pulling speed for all-atom simulations.
Influence of Native Disulfide Bonds on the RNase A Mechanical
Stability
As can be seen in Figure , for the static disulfide bonds, the force
rises rapidly when the extension reaches about 120 Å for both
all-atom and coarse-grained simulations because disulfide bonds cannot
be broken and prevent RNase A from complete unfolding. An additional
small force maximum can be observed for the all-atom simulation at
the extension of about 90 Å and the coarse-grained simulation
at the extension of about 100 Å. This local maximum aligns well
with the maximum obtained for the SMD coarse-grained simulations in
a highly oxidative environment.
Figure 3
Average force against the RNase A extension
from SMD simulations
run with 0.1 and 0.2 m/s pulling speeds in all-atom and coarse-grained
representations, respectively, with different disulfide bond treatments:
reductive environment (no disulfide bonds present), static (disulfide
bonds treated as unbreakable covalent bonds), and dynamic in weakly
and highly oxidative environments.
Average force against the RNase A extension
from SMD simulations
run with 0.1 and 0.2 m/s pulling speeds in all-atom and coarse-grained
representations, respectively, with different disulfide bond treatments:
reductive environment (no disulfide bonds present), static (disulfide
bonds treated as unbreakable covalent bonds), and dynamic in weakly
and highly oxidative environments.For the coarse-grained simulation in a highly oxidative
environment,
three distinctive maxima are observed at the approximately 100, 150,
and 230 Å extensions. For the simulation in a weakly
oxidizing environment and without disulfide bonds, two overlapping
maxima can be seen (Figure ). The first maximum is at the extension of approximately
220 Å and the second at the extension 270 Å. These results
correspond partially to all-atom simulations without disulfide bonds,
as three maxima corresponding to the extension region of 200–300
Å are present. In the coarse-grained simulations, the force peak
is significantly wider than in the all-atom simulations. For the simulation
in a weakly oxidizing environment and without disulfide bonds, two
overlapping maxima can be seen (Figure ). The first maximum is at the extension of approximately
220 Å and the second at the extension 270 Å. In the coarse-grained
simulations, the force peak is significantly wider than in the all-atom
simulations. An additional two maxima with extensions 80 and 320 Å
are observed in all-atom simulations.When the disulfide bond’s
influence on the mechanical stability
is analyzed, it reveals a significant impact on the RNase A stability
(Figures S5 and S6 and Figure A and B). The case of the reductive
environment (Figure S5A and B) reveals
that the contacts between cysteines disappear quickly and have virtually
no impact on the stability of the protein. With weak oxidative conditions
(Figure S5C), the situation is more complicated.
In the case of Cys26–Cys84, there is virtually no influence
on the structural stability as this disulfide bond is broken earlier
than any significant force peak occurs. Similarly, for Cys65–Cys72
the disulfide bond is broken significantly later in terms of extension
than the main force peak, and no peak force can be observed. However,
this disulfide bond is the longest preserved in terms of extension.
There is a loss of disulfide bond fraction associated with force peak
in the extension at approximately 220 Å. The Cys40–Cys95
and the Cys58–Cys110 disulfide bonds are mainly broken during
the force arising at the extension 220 Å. However, the loss of
a fraction of those disulfide bonds starts significantly earlier.
It seems rather that the influence of those disulfide bonds on the
stability is small (if any), and the peak force is associated with
the loss of secondary structure rather than the breaking of the disulfide
bond.
Figure 4
Comparison of analysis for native disulfide bonds (A, B), β-sheet
fractions (C, D), and secondary structure (E, F) for coarse-grained
simulation in the highly oxidation environment (A, C, E) and all-atom
simulations with restraints (B, D, F) for SMD simulations run with
0.1 and 0.2 m/s pulling speeds in all-atom and coarse-grained representations,
respectively.
Comparison of analysis for native disulfide bonds (A, B), β-sheet
fractions (C, D), and secondary structure (E, F) for coarse-grained
simulation in the highly oxidation environment (A, C, E) and all-atom
simulations with restraints (B, D, F) for SMD simulations run with
0.1 and 0.2 m/s pulling speeds in all-atom and coarse-grained representations,
respectively.A completely different picture emerges when the
environment is
highly oxidizing: in such conditions, disulfide bonds are very stabilizing
fragments of the RNase A (Figure A and B). Each sharp loss of the fraction of the disulfide
bond is associated with the force peak. The breaking order (in terms
of extension) is Cys26–Cys84, Cys40–Cys95, Cys58–Cys110,
and Cys65–Cys72 for both all-atom and coarse-grained simulations.
The order of breaking during stretching is different from the thermal
stability, where the Cys40–Cys95 bond is the least stable,
while the Cys58–Cys110 and the Cys65–Cys72 are the most
stable.[44] This is also different from the
folding pathway where the formation of the Cys40–Cys95 or Cys65–Cys72
needs to be the last to be formed.[68,69] The loss of
Cys65–Cys72 is associated with a small force peak, but Cys26–Cys84,
Cys40–Cys95, and Cys58–Cys110 are associated with large
force values. However, the Cys40–Cys95 is broken before the
main force peak. This is consistent with the experimentally determined
Cys26–Cys84 and Cys58–Cys110 structure stability enhancing
properties.[70] The breaking of Cys40–Cys95,
Cys58–Cys110, and Cys65–Cys72 disulfide bonds in all-atom
simulation occurs in single but separate events (Figure B), while a fraction of Cys26–Cys84
drops several times before completely disappearing. This indicates
that there is more than one breaking pathway for the Cys26–Cys84
disulfide bond. The breaking of the first three disulfide bonds occurs
in single but separate events (there is one pathway of breaking) in
coarse-grained simulations. The breaking of the Cys65–Cys72
can be simultaneous with the breaking of the non-native Cys84–Cys95
or can occur after the breaking of this non-native disulfide bond.
This pathway could not be observed in the all-atom force field as
the non-native bonds cannot be formed there. After Cys65–Cys72
breaking, the structure is fully extended, and no further stable structure
is observed. In general, a very similar behavior of breaking order
of native disulfide bonds can be seen in both coarse-grained and all-atom
simulations in a heavily oxidative environment, as well as the association
of the disulfide bond breaking with significant force peaks.
Influence of Non-native Disulfide Bonds on the RNase A Mechanical
Stability
As non-native disulfide bonds can form only in
the coarse-grained UNRES model, only these results are evaluated in
this section. During the simulations, several disulfide bonds (or
contacts between cysteines in a reductive environment) can be observed
(Figure S5). The most significant non-native
bond formed during the simulations is between Cys84 and Cys95. Contact
between these two residues is observed in all types of simulations
(except for predefined disulfide bonds). This interaction occurs in
later stages of simulations and is associated with the main force
peak, and in the case of the highly oxidative environment can lead
to additional stability of RNase A (reflected in an additional force
peak; Figure S6). Such behavior of maximizing
the stability of the molecules by forming non-native contacts is widely
observed in different types of molecules.[52]
Loss of Secondary Structure Content during the RNase A Stretching
To determine which fragments of RNase A are the most stabilizing,
the loss of a secondary structure against extension analysis was performed
(Figures S7 and S8 and Figure C and D). In neither of the
cases was the loss of the secondary structure a fast and single event.
However, in all simulations, β7−β6 was the first
structure to unfold.The other β-sheet-unfolding order
is not so easy to determine. The second β-sheet to unfold in
all-atom simulation in reduced conditions is β3−β6
followed by β1−β4, while in the coarse-grained
simulations (in all redox conditions) the order is reversed. Those
two secondary structures unfold almost at the same time. In the all-atom
simulation, the loss of β-sheet content is not so clear-cut,
as multiple reformations are observed (Figure D). However, β1−β4 structure
loss seems to precede the β3−β6, but then β1-β4
is reformed and unfolds as the last but one β-sheet.The
more oxidizing the environment, the longer in terms of extension
is the β-sheet structure preserved. Moreover, stronger oxidative
conditions lead to the more abrupt loss of β-sheet content as
a function of extension. This further confirms the essential stabilizing
role of disulfide bonds. Interestingly, the loss of β-sheet
content preceded the increase in the distance between the sheets in
all types of simulations. The first β-sheet to dissociate is
β6−β7. The increase in distance between other β-sheets
is associated with the main force peak in all simulations. The helical
content steadily decreases throughout the stretching simulation with
only two major events. The first is when the extension is approximately
60 Å in coarse-grained simulations or just at the very beginning
of the simulation in all-atom simulations in a reduced environment.
In this event, the first helix unfolds (Figure ), followed by the distortion of the second
helix (Figures S9–S11 and Figure A and B). The second
event is associated with the main force peak when almost all the helical
content is lost (though regained after some time/extension). The complete
helical loss in all-atom simulations with restraints is shifted to
the first force peak. The regaining of the helical content is observed
in all types of simulations (Figures S9–S11 and Figure E and
F), although the location of the helix is different than in the native
structure. In general, all-atom simulations confirmed this order of
events, with a small deviation of higher β-to-α ratio
of the secondary structure. One of the reasons for that is the fact
that coarse-grained simulations require conversion to all-atom models
in order to calculate a secondary structure content using the DSSP
algorithm, which may lead to small distortions, especially in the
case of β-sheets, which are nonlocal, long-distance interactions
of mostly side-chains. Such reconstruction imperfections especially
explain the drop of β-content at the very beginning of the pulling
in UNRES simulations. However, in the much later stages of stretching
(150–200 Å), UNRES tends to form an α-helix and
two β-strand/β-sheets (Figure A), while in Amber most dominating conformations
contain three β-strands (Figure B). This is also observed as the reformation of the
β2−β3 native-strand interactions, which is observed
only in all-atom simulations around 300–360 Å of stretching.
Figure 5
Cartoon
representation of the semistable intermediate RNase A conformations
obtained during coarse-grained stretching in the highly oxidative
environment (A) and all-atom stretching with dynamic disulfide bonds
(B) from SDM simulations run with 0.1 and 0.2 m/s pulling speeds in
all-atom and coarse-grained representations, respectively. Fully extended
fragments were removed from the figure for clarity.
Cartoon
representation of the semistable intermediate RNase A conformations
obtained during coarse-grained stretching in the highly oxidative
environment (A) and all-atom stretching with dynamic disulfide bonds
(B) from SDM simulations run with 0.1 and 0.2 m/s pulling speeds in
all-atom and coarse-grained representations, respectively. Fully extended
fragments were removed from the figure for clarity.In general, most unfolding events upon the application
of mechanical
tension to N- and C-termini start from unfolding N-terminal helices,
with β6−β7 being the first structural part to unfold.
These two processes are easily explained, as the terminal parts of
a protein usually are the least resistant, and in this case, the external
force is applied to these regions. However, the rest of the unfolding
process does not follow that pattern, and the first disulfide bond
to break is Cys26–84 and not Cys58–Cys110, which connects
part of RNase A close to the pulling anchor (β6). Then almost
simultaneous unfolding of β3−β6 and β1−β4
and disruption of Cys40-Cys95 appear, which is followed by disruption
of all remaining β-sheets and Cys58–Cys110, the last
to break being Cys65–Cys72, which is predated only by losing
all helical content by the molecule.
Conclusions
In this article, we performed all-atom
and coarse-grained simulations
of RNase A in various redox environments, which presented a very similar
view of the protein stability. RNase A activity depends on the redox
state,[71] while our results revealed that
the more oxidizing the environment, the more mechanically stable the
RNase. Both our thermal unfolding and mechanical stretching studies
show that the most stable disulfide bond is Cys65–Cys72. The
least stable to mechanical stress is Cys40–Cys95, which is
strongly connected to the local structure, in which cysteine residues
forming these bonds are present. The two structural disulfide bonds
Cys58–Cys110 and Cys26–Cys84 are associated with significant
forces. In a highly oxidizing environment, the breaking of the disulfide
bond correlates well with the force peak, while in the weakly oxidizing
and reductive environment, there is no such correlation, showing that
disulfide bonds have only a limited impact on stability. This indicates
that the redox environment strongly determines the mechanical resistance
of the proteins.Unfolding of the stable secondary structure
elements, such as β-sheets
and α-helices, was not a single event and occurred gradually
throughout the simulations. Moreover, during RNase A stretching, a
quick reformation of the helices and β-sheets can also be observed.
However, we have been able to identify the order of unfolding during
the stretching, which started from the deformation of fragments closest
to the termini: β6−β7 and N-terminal helix 1, followed
by almost simultaneous unfolding of β3−β6, β1−β4,
and the second and third helices. We noticed that in a highly oxidative
environment, the presence of stable disulfide bonds stabilized secondary
structure elements, this effect being especially visible for β-sheets.
RNase A is a perfect example of how important it is for cells to control
redox potential in their components and how it can impact biomacromolecules.
Authors: Paweł Krupa; Adam K Sieradzan; Magdalena A Mozolewska; Huiyu Li; Adam Liwo; Harold A Scheraga Journal: J Chem Theory Comput Date: 2017-10-09 Impact factor: 6.006
Authors: Adam Liwo; Maciej Baranowski; Cezary Czaplewski; Ewa Gołaś; Yi He; Dawid Jagieła; Paweł Krupa; Maciej Maciejczyk; Mariusz Makowski; Magdalena A Mozolewska; Andrei Niadzvedtski; Stanisław Ołdziej; Harold A Scheraga; Adam K Sieradzan; Rafał Slusarz; Tomasz Wirecki; Yanping Yin; Bartłomiej Zaborowski Journal: J Mol Model Date: 2014-07-15 Impact factor: 1.810