Amyloid-forming proteins undergo a structural transition from α-helical to disordered conformations and, ultimately, cross-β fibrils. The unfolding and aggregation of the amyloid β-peptide (Aβ) have been implicated in the development and progression of Alzheimer's disease (AD) and cerebral amyloid angiopathy (CAA). However, the events underlying the initial structural transition leading to the disease state remain unclear. Although most cases are sporadic, several genetic variants exist that alter the electrostatic properties of Aβ and lead to more rapid unfolding and more severe phenotypes. In the present study, the enhanced unfolding is shown to be due to the mutated side chains altering the local peptide-bond dipole moments leading to local destabilization of the α-helix, as determined from polarizable molecular dynamics (MD) simulations of wild-type (WT) Aβ fragments and several common mutations. The local perturbation of the helix then leads to progressive unwinding of the α-helix in a cooperative fashion due to decreases in adjacent (i ± 1) and hydrogen-bonded (i + 4) peptide-bond dipole moments. Side-chain dynamics, subsequent variations in dipole moments, and ultimately the response in the peptide-bond dipole moments are all modulated by solvent dielectric properties based on simulations in water versus ethanol. The polarizable simulation results, along with simulations using the additive CHARMM36 force field, further indicate that cooperativity due to the alignment of peptide bonds leading to enhanced dipole moments is a fundamental force in stabilizing α-helices.
Amyloid-forming proteins undergo a structural transition from α-helical to disorderedconformations and, ultimately, cross-β fibrils. The unfolding and aggregation of the amyloid β-peptide (Aβ) have been implicated in the development and progression of Alzheimer's disease (AD) and cerebral amyloid angiopathy (CAA). However, the events underlying the initial structural transition leading to the disease state remain unclear. Although most cases are sporadic, several genetic variants exist that alter the electrostatic properties of Aβ and lead to more rapid unfolding and more severe phenotypes. In the present study, the enhanced unfolding is shown to be due to the mutated side chains altering the local peptide-bond dipole moments leading to local destabilization of the α-helix, as determined from polarizable molecular dynamics (MD) simulations of wild-type (WT) Aβ fragments and several common mutations. The local perturbation of the helix then leads to progressive unwinding of the α-helix in a cooperative fashion due to decreases in adjacent (i ± 1) and hydrogen-bonded (i + 4) peptide-bond dipole moments. Side-chain dynamics, subsequent variations in dipole moments, and ultimately the response in the peptide-bond dipole moments are all modulated by solvent dielectric properties based on simulations in water versus ethanol. The polarizable simulation results, along with simulations using the additive CHARMM36 force field, further indicate that cooperativity due to the alignment of peptide bonds leading to enhanced dipole moments is a fundamental force in stabilizing α-helices.
Pathological protein aggregation is associated
with numerous diseases,[1,2] many of which feature the formation
of amyloid aggregates, which
are characterized by a parallel, cross-β structure.[3] An example is amyloid β-peptide (Aβ),
which is the principal protein component of intra- and extracellular
oligomers, fibrils, and plaques in Alzheimer’s disease (AD)
and cerebral amyloid angiopathy (CAA). Notably, specific mutations
of Aβ have been shown to lead to severe Alzheimer’s phenotypes.[4−6] Aβ and many other amyloidogenic peptide sequences are natively
α-helical but unfold to give rise to β-strand structures.
Although the Aβ monomer is nontoxic,[7] understanding the factors contributing to helical instability on
the monomer level is of fundamental interest in elucidating the initial
events in these disease pathways, as well as providing crucial insight
into the stabilizing forces in protein folding.Protein folding
is a cooperative process.[8] This cooperativity
drives unfolded proteins toward the native, folded
state to avoid aggregation and amyloid formation.[9,10] The
folding of α-helices is driven in part by cooperativity arising
from the alignment of peptide bonds through hydrogen bonding,[11] as the peptide-bond dipole moments enhance each
other during helix formation.[12] The alignment
of peptide-bond dipoles also gives rise to a helix macrodipole, with
excess positive charge at the N-terminal end of the helix and excess
negative charge toward the C-terminus. The macrodipole has been implicated
in helical stability and ligand binding,[13] and induced polarization arising from hydrogen bonding is an important
contributing factor to this phenomenon,[12] as recently shown for the folding of an α-helical peptide
using molecular dynamics simulations in conjunction with a polarizable
force field.[14]Folding studies of
the Aβ monomer have shown that its transition
from a predominantly α-helical form to a disordered ensemble
is modulated by pH and solution environment.[15−17] At physiological
pH, acidic groups are predominantly deprotonated, contributing to
charge repulsion that can drive the peptide toward a more disordered
ensemble. Coles et al. hypothesized that disorder might originate
at the Glu22–Asp23 acidic dyad toward the C-terminal end of
the first helix in the Aβ structure,[15] given that the Aβ structure at a membrane–water interface
was not completely helical. Positions 22 and 23 in the Aβ sequence
are particularly interesting because they are the sites of several
mutations that give rise to altered aggregation properties and greater
cytotoxicity.[4−6] The most widely studied mutant Aβ forms are
the D23N “Iowa”,[18] E22Q “Dutch”,[19,20] E22G “Arctic”,[21] and E22K
“Italian”[22] species. Each
of these mutations alters the electrostatic nature of the peptide;
thus, an investigation of the microscopic details underlying their
unfolding pathways is of particular interest.In the present
work, wild-type (WT) and mutant Aβ15–27 sequences
were used in a systematic study of α-helix unfolding
at the level of the Aβ monomer based on MD simulations performed
using a polarizable force field based on the classical Drude oscillator
model.[23] The Aβ15–27 region of the peptide was chosen as it contains three full helical
turns while remaining a computationally tractable system for MD simulations
in explicit solvent, similar to previous studies on fragments such
as Aβ12–24,[24] Aβ12–28,[25,26] and Aβ13–26.[27] Although N-terminal residues have
been implicated in modulating the conformational ensemble of Aβ,[28,29] such fragments serve as useful models for critical regions in Aβ;
the unfolding of the α-helix in this central region of Aβ
is known to be important in aggregation and toxicity.[30,31] Given that Aβ is proteolytically cleaved in the membrane from
the larger amyloid precursor protein (APP)[32] and unfolding takes place in solution and at membrane–water
interfaces, the effects of solvent polarity were examined using ethanol
as a membrane surrogate. The findings have implications not only for
the unfolding mechanism in AD and CAA directly but also for factors
governing α-helical stability in general.
Results
Presented
are simulations of the unfolding of WT Aβ15–27 along with several mutants [Figure S1, Supporting Information (SI)] performed using a polarizable force field
based on the classical Drude oscillator model, allowing for an understanding
of the role of the induction of dipole moments on helix unwinding.
In addition, to verify that the observed unfolding mechanism was associated
with explicit polarization in the force field, several of the simulations
were repeated using the polarizable model and performed with the additive
CHARMM36 force field.[33] To facilitate analysis
of the induction of the peptide backbone dipoles in the polarizable
simulations, we define the dipole moment along the helical axis, μpara,, as described in Figure S2 (SI).
Unfolding of WT Aβ15–27
The
unfolding of the WT helix in the polarizable simulation proceeded
rapidly in both water and ethanol (Figure B,F), yielding an average α-helical
content of less than 20% (Table S1, SI).
In ethanol, 310-helices were observed, whereas in water,
one-turn α-helices re-formed transiently, with α-helical
conformations lost by the end of the 300-ns simulation in both cases.
Helix unwinding in water began when the Glu22 and Asp23 side chains
came in close proximity (<4.5 Å, Figure A,C) and, as a consequence of the repulsive
interaction, the dipole moment of the Asp23 side chain increased by
∼1.5 D (Figure C). In response, the component of the dipole moments of the Glu22–Asp23
and Val18–Phe19 peptide bonds parallel to the helix axis (μpara,) decreased in magnitude before reversing in direction
(Figure D), leading
to the unwinding of this turn of the helix. The reduction in μpara coincided with the loss of the (i, i + 4) hydrogen bond between Val18 and Glu22 (Figure D), as well as the Phe19–Asp23hydrogen bond (Figure S3, SI). The simultaneous
change in direction of μpara and breaking of backbone
hydrogen bonds in both cases indicates that the local peptide-bond
dipole moments respond quickly to variations in the side-chain dipole
moments, leading to alterations in helix hydrogen bonding. Whereas
the electrostatic repulsion between neighboring anionic side chains
is intuitively unfavorable, the subsequent destabilization of backbone
hydrogen bonding and dipole-moment cooperativity up to four residues
away, through the hydrogen-bonding network and encompassing an entire α-helical
turn, emphasizes the specific role of side-chain dynamics on the stability
of the α-helix through alteration of the peptide-bond dipole
moments. Interestingly, water molecules that mediated the ion–ion
interaction between the Glu22 and Asp23 side chains were also perturbed.
Water molecules that bridged the Glu22 and Asp23 carboxylate groups
(defined as any water with an oxygen atom simultaneously within 3.5
Å of a carboxylateoxygen of each residue) had an average μ
value of 2.53 ± 0.17 D, slightly above the bulk value (2.46 ±
0.17 D). This outcome indicates that the repulsion between the two
negatively charge side chains is somewhat dissipated by hydrating
water.
Figure 1
Unfolding of WT Aβ15–27 in water and ethanol
and response of dipole moments to side-chain dynamics. Atoms are colored
by element (C in gray, O in red, N in blue, H in white), lone pairs
in cyan, and Drude oscillators in green. (A) Close contact of Glu22
and Asp23 side chains in water that leads to destabilization of the
helical structure from a snapshot at 36 ns. (B) Secondary structure
over time in water according to Dictionary of Secondary Structure
of Proteins (DSSP). (C) Dipole moment of the Asp23 side chain over
time (blue) and minimum distance between Glu22 and Asp23 carboxylate
O atoms (black). (D) Val18 to Glu22 i to i + 4 backbone hydrogen-bond existence (blue spikes indicate
the presence of a hydrogen bond, i.e., existence = 1) and time series
for the component of the dipole moment parallel to the helix axis
(μpara; Figure S2, SI)
for the indicated peptide bonds. (E) Salt bridge formed by Lys16 and
Asp23 with the resulting distortion of the α-helix in ethanol
from a snapshot at 40 ns. (F) Secondary structure over time in ethanol.
(G) Time series of the minimum distance between Lys16(Nζ) and
Asp23(Oδ1/Oδ2) atoms. Any value
less than or equal to 3.5 Å (red dashed line) indicates an intact
salt bridge. (H) Time series of μpara for the indicated
peptide bonds, showing the loss of dipole-moment alignment upon stable
formation of the Lys16–Asp23 salt bridge. The dipole moment
and distance time series in panels C, D, G, and H are shown as 1-ns
running averages for clarity. A negative value of μpara indicates alignment of C=O with the helix axis.
Unfolding of WT Aβ15–27 in water and ethanol
and response of dipole moments to side-chain dynamics. Atoms are colored
by element (C in gray, O in red, N in blue, H in white), lone pairs
in cyan, and Drude oscillators in green. (A) Close contact of Glu22
and Asp23 side chains in water that leads to destabilization of the
helical structure from a snapshot at 36 ns. (B) Secondary structure
over time in water according to Dictionary of Secondary Structure
of Proteins (DSSP). (C) Dipole moment of the Asp23 side chain over
time (blue) and minimum distance between Glu22 and Asp23 carboxylate
O atoms (black). (D) Val18 to Glu22 i to i + 4 backbone hydrogen-bond existence (blue spikes indicate
the presence of a hydrogen bond, i.e., existence = 1) and time series
for the component of the dipole moment parallel to the helix axis
(μpara; Figure S2, SI)
for the indicated peptide bonds. (E) Salt bridge formed by Lys16 and
Asp23 with the resulting distortion of the α-helix in ethanol
from a snapshot at 40 ns. (F) Secondary structure over time in ethanol.
(G) Time series of the minimum distance between Lys16(Nζ) and
Asp23(Oδ1/Oδ2) atoms. Any value
less than or equal to 3.5 Å (red dashed line) indicates an intact
salt bridge. (H) Time series of μpara for the indicated
peptide bonds, showing the loss of dipole-moment alignment upon stable
formation of the Lys16–Asp23 salt bridge. The dipole moment
and distance time series in panels C, D, G, and H are shown as 1-ns
running averages for clarity. A negative value of μpara indicates alignment of C=O with the helix axis.In ethanol, the WT Aβ15–27 peptide also
unfolded rapidly (Figure F), although the mechanism was different. Helical unwinding
began around Leu17 and proceeded toward the C-terminal end of the
α-helix, culminating in a total loss of α-helicity by
∼45 ns. Unwinding was initiated when the side chain of Lys16
formed a stable salt bridge with Asp23 (Figure E,G), straining the backbone and perturbing
the Leu17–Ala21 backbone hydrogen bond. This strain led to
a reversal of μpara in the Leu17–Val18 and
Phe20–Ala21 peptide bonds (Figure H), indicating a loss of dipole alignment
and hydrogen bonding. The association of opposing charges in ethanol
is more favorable because of the lower solvent polarity (ε =
22) and resulted in the salt bridge remaining intact for ∼90%
of the simulation (Figure G). In water, Lys16–Asp23 interactions were screened
by the large dielectricconstant of the medium and did not contribute
to the destabilization of the helix, as the salt bridge was intact
for less than 0.2% of the trajectory. Even though Lys16 is able to
sequester the side chain of Asp23 away from that of Glu22 to prevent
unfavorable side-chain interactions as in the case of the simulation
in water, instability still resulted. Taken together, the results
of the WT Aβ15–27 simulations suggest that
its α-helical structure is prone to disorder in environments
with either high or low polarity.
Charge-Neutralizing D23N
and E22Q Aβ15–27 Mutants
Experiments
have shown that these mutants unfold
and aggregate more rapidly than the WT peptide,[4−6] suggesting that
factors beyond the side-chain charge–charge interactions seen
in the WT peptide contribute to the instability of the Aβ helical
structure. In water, the helical turn of residues 22–26 in
the D23N peptide was lost almost immediately (Figure B), initiated by the rotation of the χ1 dihedral angle of Asn23 (N–Cα-Cβ-Cγ)
from trans (t) to gauche– (g–, Figure A,C). This rotation led to a hydrogen bond between
its side-chain amide and the backbone carbonyl group of Phe19 (Figure A), causing a significant
decrease in the magnitude of μpara of the Glu22–Asn23
peptide-bond dipole (Figure D) and leading to disorder in this region of the peptide at
∼10 ns. The remainder of the peptide remained helical (Figure B), and μpara of the Phe19–Phe20 peptide bond remained aligned
with the helix axis out to ∼160 ns (Figure D). Subsequently, the remainder of the helical
content was lost (Figure B), coinciding with the loss in magnitude and then a switch
in the orientation of μpara of the Phe19–Phe20
peptide bond. In ethanol, this outcome was not observed, and the peptide
remained ∼70% α-helical for the duration of the simulation
(Table S1, SI) despite the fact that the
Asn23 side-chain χ1 distribution was nearly identical
to that in water (Figure S4, SI), indicating
that interactions with the Phe19 backbone carbonyl were still occurring
in ethanol but did not lead to destabilization. In water, the average
Asn23 side-chain dipole moment was 6.27 ± 0.47 D (average ±
root-mean-square fluctuation), whereas in ethanol, it was only 5.17
± 0.45 D. The larger dipole in water allowed the side-chain amide
of Asn23 to more effectively compete for the backbone hydrogen bond
between Phe19 and Asn23, leading to unwinding, whereas in ethanol,
the smaller side-chain dipole moment did not have this effect. Moreover,
the transition from t → g– in water led to an increase in the Asn23 side-chain
dipole moment (inset, Figure S4, SI), suggesting
environment- and conformation-dependent behavior. Considering only
α-helical conformations, in water, the t conformation
of Asn23 had an average dipole moment of 5.68 ± 0.48 D, whereas
rotation to g– led to an increase
to 5.96 ± 0.46 D. In ethanol, the side-chain dipole moment was
insensitive to conformation, being 5.17 ± 0.44 D in t and 5.17 ± 0.42 D in g–.
Figure 2
Dynamics
of charge-neutralizing mutants D23N and E22Q in water.
(A) Snapshot of D23N in water at 11.81 ns showing hydrogen-bond formation.
(B) Secondary structure evolution of D23N in water. (C) Side-chain
χ1 time series for Asn23. (D) Time series of μpara for the peptide bonds involved in hydrogen-bond exchange.
(E) Snapshot of E22Q in water at 124.56 ns showing hydrogen-bond formation
leading to dipole enhancement. (F) Secondary structure evolution of
E22Q in water. (G) Time series of μpara for the peptide
bonds affected by the Gln22–Asp23 side-chain hydrogen bond,
the formation of which is indicated by black spikes. (H) Side-chain
dipole moment of Gln22, with values for each frame shown as circles
and a 1-ns running average shown as a red line. The μpara time series in panels D and G are also shown as 1-ns running averages
for clarity.
Dynamics
of charge-neutralizing mutants D23N and E22Q in water.
(A) Snapshot of D23N in water at 11.81 ns showing hydrogen-bond formation.
(B) Secondary structure evolution of D23N in water. (C) Side-chain
χ1 time series for Asn23. (D) Time series of μpara for the peptide bonds involved in hydrogen-bond exchange.
(E) Snapshot of E22Q in water at 124.56 ns showing hydrogen-bond formation
leading to dipole enhancement. (F) Secondary structure evolution of
E22Q in water. (G) Time series of μpara for the peptide
bonds affected by the Gln22–Asp23 side-chain hydrogen bond,
the formation of which is indicated by black spikes. (H) Side-chain
dipole moment of Gln22, with values for each frame shown as circles
and a 1-ns running average shown as a red line. The μpara time series in panels D and G are also shown as 1-ns running averages
for clarity.Side-chain–backbone
interactions also figured prominently
in unfolding of the E22Q peptide in water. Helical instability from
Leu17 to Phe20 appeared within ∼40 ns of simulation time (Figure F). Transient hydrogen-bond
formation between the side-chain Gln22amide and Asp23 carboxylate
early in the trajectory led to short-lived decreases in the magnitude
of μpara of several nearby residues (Figure G), with the loss of helix
from Leu17 to Phe20corresponding to a decrease in μpara for the Val18–Phe19 and Ala21–Gln22 peptide bonds.
The remaining helical structure was lost at ∼124 ns when the
Gln22–Asp23 side-chain hydrogen bond (Figure G) persisted. This interaction arose when
the χ1 and χ2 (Cα–Cβ–Cγ–Cδ)
dihedral angles of Gln22 were both gauche+ (g+). In this hydrogen-bonded conformation (Figure E), which persisted for ∼18
ns (124–142 ns in the trajectory, Figure G), the side-chain dipole moment of Gln22
increased by ∼2 D (Figure H), an effect subsequently transmitted to the backbone
peptide bonds, leading to a reversal in the direction of μpara of the Ala21–Gln22 and Gln22–Asp23 peptide
bonds (Figure G).
This reversal of μpara was transmitted to the Val18–Phe19
(i – 4) peptide bond, leading to unwinding
of this turn of the α-helix (Figure F,G).The reversal in μpara of the Gln22–Asn22
peptide bond in water was a direct result of interactions with the
Gln22 side chain. Figure S5C,D (SI) shows
the relationship between μpara of the Gln22 side
chain and μpara of the Gln22–Asp23 peptide
bond. In water, the backbone μpara responded to the
fluctuations in the side-chain μpara (Figure S5C, SI), which are due to changes in side-chain orientation
and concomitant Gln22 and Asp23 side-chain–side-chain hydrogen-bond
formation (Figure S5E, SI). In ethanol,
the backbone μpara was not sensitive to this effect
(Figure S5D, SI), despite conformational
variations in χ1 that lead to hydrogen bonding (Figure
S5F, SI). It is also important to highlight
the fact that, whereas Gln22–Asp23hydrogen-bond formation
in water resulted in a large dipole response [increase in the total
side-chain μ value of ∼2 D, Figure H, and ∼4 D in μpara, Figure S5C (SI)], there was no systematic
response in μpara in ethanol (Figure S5D, SI). Thus, the backbone μpara remained aligned with the helix axis, and the majority of the helix
persisted throughout the simulation (Figure S5B, SI).
Salt-Bridge Formation in E22K Aβ15–27
NMR experiments by Masuda et al. showed
that, in the E22K
Aβ peptide, a salt bridge forms between Lys22 and Asp23, promoting
the formation of a local bend instead of a helix.[34] We observed this phenomenon in the simulations of E22K
Aβ15–27 in water. Upon formation of the salt
bridge at ∼25 ns (Figure B), the magnitude of Lys22–Asp23 μpara decreased, which was transmitted to the neighboring Ala21–Lys22
peptide bond (Figure D), contributing to the loss of the α-helical turn that includes
Lys22 and Asp23 (Figure A). Throughout the remainder of the simulation, the Lys22–Asp23
salt bridge broke and formed multiple times (Figure B), leading to sampling of both g+ and t conformations of χ1 of Lys22 (Figure C). In contrast, in ethanol, the salt bridge persisted (Figure
S6D, SI), with Lys22 χ1 heavily favoring the t conformation (Figure S6C, SI); in this case, the helix was stable throughout
the simulation (Figure S6A, SI) with only
transient deformation due to the Lys22 g+ state (Figure S6B, SI).
Figure 3
Salt-bridge dynamics
in E22K Aβ15–27 perturb
nearby dipole moments in water. (A) Secondary structure evolution
according to DSSP. (B) Time series of the minimum distance between
Lys22 Nζ and Asp23 Oδ1/Oδ2 atoms, shown as a 1-ns running average for clarity. A value of ≤3.5
Å (dashed blue line) was used as an indicator of an intact salt
bridge. (C) Time series of the Lys22 χ1 dihedral
angle. (D) Time series of μpara for the indicated
peptide bonds, illustrating their response to the side-chain dynamics.
(E) Snapshot from 22.30 ns of the simulation in water, with an intact
Lys22–Asp23 salt bridge, with the Lys22 χ1 in the t conformation, such that Asp23 is sequestered
away from the peptide bond. (F) Lys22 in the g+ conformation from a snapshot at 25.01 ns of the simulation
in water, interacting directly with Asp23, which is brought in close
contact with the peptide bond.
Salt-bridge dynamics
in E22K Aβ15–27 perturb
nearby dipole moments in water. (A) Secondary structure evolution
according to DSSP. (B) Time series of the minimum distance between
Lys22 Nζ and Asp23 Oδ1/Oδ2 atoms, shown as a 1-ns running average for clarity. A value of ≤3.5
Å (dashed blue line) was used as an indicator of an intact salt
bridge. (C) Time series of the Lys22 χ1 dihedral
angle. (D) Time series of μpara for the indicated
peptide bonds, illustrating their response to the side-chain dynamics.
(E) Snapshot from 22.30 ns of the simulation in water, with an intact
Lys22–Asp23 salt bridge, with the Lys22 χ1 in the t conformation, such that Asp23 is sequestered
away from the peptide bond. (F) Lys22 in the g+ conformation from a snapshot at 25.01 ns of the simulation
in water, interacting directly with Asp23, which is brought in close
contact with the peptide bond.Table reports
the average μpara values for the Ala21–Lys22
and Lys22–Asp23 peptide bonds as a function of Lys22 χ1 in α-helical states of the Ala21–Lys22–Asp23
sequence. In both water and ethanol, rotation of Lys22 χ1 to the g+ conformation led to
a decrease in the magnitude of μpara in both of these
peptide bonds (Table ), which destabilized the helix. The reason for this destabilization
is that the g+ state of Lys22 χ1 brought the Asp23 carboxylate in close proximity (3.98 ±
0.48 Å on average in helical states) to the carbonyl oxygen of
the Lys22–Asp23 peptide bond (Figure F), whereas the t conformation
of Lys22 χ1 sequestered the acid moiety away (4.47
± 0.20 Å, Figure E), although the Lys22–Asp23 side-chain interaction
is present in both the g+ and t χ1 conformations. Thus, although the
Lys22–Asp23 salt bridge can form in both water and ethanol,
the differences in the dielectricconstants of the solvents lead to
increased opening and closing in the former that allows for interactions
of the Asp23 side chain with the backbone while the salt bridge persists
in ethanol with χ1 in t dominating,
thereby not destabilizing the helix. Unlike in the WT peptide, in
which water molecules between Glu22 and Asp23 dissipated some of the
ion–ion repulsion, in the case of water-mediated salt bridges,
there was no shift in the waterdipole moments. They behaved exactly
like bulk water, with an average value of μ = 2.46 ± 0.17
D. In the case of water mediating interactions between unlike charges,
there is no dissipation of the dipole response.
Table 1
μpara Values for
the Ala21–Lys22 and Lys22–Asp23 Peptide Bonds As a Function
of Lys22 χ1 Conformationa
peptide bond
Lys22 χ1
water
ethanol
Ala21–Lys22
t
–4.22 ± 0.70
–4.69 ± 0.23
g+
–3.92 ± 0.55
–4.54 ± 0.27
g–
–4.29 ± 0.35
–
Lys22–Asp23
t
–4.20 ± 0.45
–4.67 ± 0.28
g+
–3.85 ± 0.53
–4.38 ± 0.37
g–
–4.00 ± 0.46
–
Values (average
± root-mean-square
fluctuation) calculated only for frames in which Ala21–Lys22–Asp23
were in an α-helical conformation.
Values (average
± root-mean-square
fluctuation) calculated only for frames in which Ala21–Lys22–Asp23
were in an α-helical conformation.
Impact of Side-Chain Deletion in E22G Aβ15–27
The Aβ15–27 E22G mutant rapidly
unfolded in water (Figure S7B, SI), whereas
unfolding in ethanol proceeded more slowly (Figure S8D, SI), such that 43% total α-helical content
was retained during the simulation (Table S1, SI). In the E22G peptide, close packing between Gly25 and
Gly22 in water arose because of the absence of side-chain atoms at
position 22 (Figure S7A, SI). This packing
persisted for ∼50 ns, during which time the α-helix was
in a distorted but metastable state in which backbone hydrogen bonds
deviated from linearity (Figure S7A, SI). Conversion of these two Gly residues between right- and left-handed
helical conformations, with peptide-bond dipole moments responding
accordingly (Figure S7C,D, SI), initiated
unfolding by perturbing the Ala21–Gly25 backbone hydrogen bond
(Figure S7A, SI). Unfolding then propagated
through the backbone hydrogen-bonding network as μpara reversed along the helix axis (Figure S7C,D, SI). In ethanol, Gly–Gly packing was not observed,
although several residues in the E22G peptide were disordered for
the majority of the simulation (Figure S8, SI). The intrinsic flexibility of Gly25 allowed Asp23 to reorient such
that the Asp23–Val24 peptide bond was oriented in the opposite
direction of the helix, with μpara reflecting this
change in conformation (Figure S8A,C, SI) and subsequently perturbing nearby peptide-bond dipoles to transiently
destabilize the helix at ∼100 ns (Figure S8C,D, SI). The disordered state of Asp23 was stabilized
by a tight turn around Gly25, allowing nearby amide groups to form
favorable interactions with the carboxylate moiety of Asp23 (Figure
S8B, SI).
Reproducibility of the
Drude Results and Comparison with Additive
CHARMM36 Simulations
The WT and D23N peptides were each simulated
two additional times with the Drude model for 100 ns, initiated from
the same starting configurations but different velocities, to test
the reproducibility of the observed unfolding mechanism. The results
are summarized in Figures S9 and S10 (SI) for the WT and D23N systems, respectively. All runs produced compatible
results; that is, for the WT peptide, proximity of Glu22 and Asp23
acid groups resulted in spikes of the Asp23 side-chain μ value,
concomitant with the reversal of μpara along the
helix axis and destabilization of backbone hydrogen bonding (Figure
S9, SI). Similarly, the rotation of Asn23
into a g– χ1 state
destabilized Phe19–Asn23 backbone hydrogen bonding and resulted
in unfolding of the D23N peptide (Figure S10, SI). All of these events occurred within the first 100 ns
of each replicate simulation, thus the results described above from
the initial simulation are consistently observed and the role of the
polarization response is emphasized.To provide additional context
for the findings using the Drude polarizable force field, we performed
the same simulations with the additive CHARMM36 force field.[33] By definition, dipole response will not be observed
in this fixed-charge model (beyond geometry changes such as bond stretching
or dihedral-angle rotation), so the additive simulations serve as
an important reference for establishing the role of induced polarization
in the simulations described above. In water, all of the Aβ15–27 peptides disordered to some extent (Table S1 and
Figure S11, SI), although the WT, D23N,
and E22K peptides were more helical with CHARMM36 than they were in
the Drude simulations. In the additive systems, unfolding of all of
the peptides proceeded in a similar manner. The N- and/or C-terminal
residues initially became disordered, allowing the side-chain amide
groups of Gln15 and Asn27 to interact with various side chains in
the Aβ15–27 sequence. In none of these cases
did these side chains compete for backbone hydrogen bonding. Instead,
hydrogen bonds transiently formed between groups already destabilized
and exposed to water, thus stabilizing the unfolded state but not
contributing to the unfolding pathway. This is a nonspecific effect
that occurred in all of the simulations, which, in the majority of
cases, did not propagate to the rest of the structure as observed
in the polarizable simulations.The WT simulations in water
with CHARMM36, the Glu22 and Asp23
side chains to come in close contact of <3.5 Å at 3.23 ns.
However, no perturbation of the helical structure occurred (Figure
S11, SI), which is assumed to be due to
the lack of a change in the Asp23 side-chain μ value. The absence
of a destabilizing effect by Glu22–Asp23 interactions is inconsistent
with experimental evidence that they are responsible for destabilizing
helical structure as a function of pH.[15] In the D23N mutant, the Asn23 side chain heavily sampled the g– conformation and formed hydrogen bonds
with the Phe19carbonyl oxygen. However, as changes in the dipole
of the side chain were limited to the impact of dihedral-angle rotation
(Figure S12, SI), helicity was preserved
for most of the trajectory (Figure S11, SI). As with the Drude systems, the WT and D23N simulations in water
were repeated twice more for 100 ns, with nonspecific unfolding occurring
in all cases (Figure S11, SI). We note
that the additive TIP3P water diffuses approximately 3 times too fast,
which might enhance the rate at which conformational changes occur
in a nonspecific manner. In the E22K simulation, the Lys22–Asp23
salt bridge formed only infrequently (6.9% of the time) and was associated
with transient destabilization of the helical turn involving only
these two residues (Figure S11, SI), as
a result of a small change in peptide-bond alignment rather than an
electrostatic response. These results suggest that there is an intrinsic
strain on the helical structure associated with the formation of the
salt bridge between these neighboring residues, although the CHARMM36
simulation suggests that it is not a strong destabilizing force, whereas
the polarizable simulations described above clearly showed propagating
effects of dipole reorientation that destabilized the α-helical
structure. Both the E22G and E22Q peptides disordered rapidly in water
with the additive force field (Figure S11, SI); the disordering of the termini led to fast unfolding that was
not associated with any specific interactions arising from the mutations.In ethanol, all peptides with the additive force field remained
predominantly helical, with generally a larger α-helical content
than the Drude force field (Table S1 and Figure S11, SI). N-terminal residues were the only ones to disorder in
these simulations, and the helical turns encompassing the sites of
mutations remained helical throughout all of the simulations (Figure
S11, SI). Thus, the additive simulations
would lead to the conclusion that, in ethanol, there is little to
no disordering associated with the mutagenic region of Aβ. Taken
together, the simulations using CHARMM36 suggest only a nonspecific
fraying at the ends of the Aβ15–27 peptide
occurs in ethanol and water, with this fraying leading to unfolding
in water whereas specific behaviors related to Glu22, Asp23, or any
of the mutations, were not observed.
Discussion
The
present study involved a systematic investigation of the underlying
contributions to helical unfolding in the amyloidogenic Aβ15–27 fragment and examined the effects of both mutations
and solvent on the unfolding of this peptide. Similar Aβ fragments
have been used to efficiently examine unfolding phenomena.[25−27,35−38] Moreover, by studying systems
in water (ε = 79) and ethanol (ε = 22), solvent effects
can be evaluated and related back to unfolding in aqueous solution
or at membrane–water interfaces, as ethanol is a reasonable
model of the glycerol region of the membrane–water interface
given its dielectricconstant.[39]Previous studies have concluded that mutant Aβ peptides have
enhanced cytotoxicity, aggregate more rapidly,[4−6,18] and have altered fibril structures.[40] The present work did not seek to resolve the details of
these pathways, instead focusing on the early events in the unfolding
of the helix that is generally believed to be intact upon liberation
of Aβ from the helical transmembrane domain of APP. The NMR
structure from Coles et al.[15] is a logical
initial model, as it was determined in the presence of detergent micelles,
thus approximating a membrane–water interface.In agreement
with the mechanism hypothesized by Coles et al.,[15] our results indicate that side-chain electrostatic
interactions are principally responsible for unfolding of the WT peptide,
with Glu22–Asp23 repulsion driving unfolding in water. This
repulsion perturbs the Asp23 side-chain dipole that is communicated
to the dipole moment of the adjacent peptide bond and propagated through
the backbone hydrogen-bonding network to perturb additional peptide-bond
dipoles. Salt-bridge formation also plays a role in helical destabilization
of the WT peptide in ethanol and in the E22K peptide in water, but
in contrast, the salt bridge stabilized the α-helicity of E22K
in ethanol. Thus, the present results show how side-chain dynamics
affect peptide-bond dipole moments, in turn contributing to the instability
of α-helical structure of the Aβ15–27 peptide. Electrostatic interactions between charged side chains
are the most important intrapeptide interactions that affect helix
stability, suggesting that our findings might also extend to intrinsically
disordered proteins, which are often highly charged.[41]Similar to the Lys22–Asp23 dynamics, in the
E22Q peptide,
hydrogen-bond dynamics between Gln22 and Asp23 led to helical instability
in water. Although the formation of this side-chain hydrogen led to
a large (∼2 D) increase in the Gln22 side-chain dipole moment,
only in water was the Gln22 side-chain amide group aligned such that
its μpara opposed the helix axis, causing a similar
response in the backbone and subsequent helical unwinding. The effect
on peptide-bond dipoles was not observed in ethanol, suggesting that
the polarity of the solvent modulates the susceptibility of the backbone
to side-chain dipole dynamics. Hydrogen bonding and competition for
native interactions contribute to the helical instability of the D23N
peptide in water. The side-chain amide of Asn23 destabilizes its own
backbone hydrogen bonding, leading to rapid unwinding in water. The
solvent polarity and subsequent response of the side chain are important
factors, as in water, Asn23 is more strongly polarized than in ethanol,
allowing it to more effectively compete for backbone hydrogen bonding.
The side-chain response to solvent polarity and nearby dipoles is
a feature unique to the Drude polarizable model, highlighting the
importance of explicit polarization in MD simulations, especially
mechanistic studies such as this one.
Conclusions
The
present work has provided new insights into the driving forces
for Aβ unfolding by modeling a peptide fragment that is known
to harbor mutations that lead to severe disease phenotypes. Explicit
inclusion of induced polarization, an effect that is not frequently
included in MD simulations, is a critical component of the physical
behavior, as evidenced by the different mechanisms of unfolding seen
with the additive CHARMM36 force field. Whereas the additive force
field undergoes generic fraying of the N- and C-termini, leading to
unfolding in water, polarization effects manifest themselves on the
local backbone dipoles, leading to sequence-dependent effects, a behavior
that has been suggested previously for other proteins.[42] The polarizable model also shows clear differences
in the mechanism of unfolding as a function of solvent, and the results
have implications for understanding Aβ unfolding in different
environments, such as the membrane or in aqueous solution. Further
studies of full-length Aβ and other amyloidogenic peptides using
models that include explicit treatment of electronic polarization
in water and membranes would be necessary to more fully describe the
unfolding and aggregation pathways, and perhaps mechanisms of membrane
perturbation.
Methods
The initial coordinates
for the Aβ15–27 fragment were taken from the
first model of the NMR structure of
Aβ40 of Coles et al.,[15] in which the fragment forms a continuous α-helix, flanked
by disordered residues at the N-terminal end and a bend at its C-terminal
end. To negate end effects from charged termini, the N- and C-termini
of the Aβ15–27 fragment were capped with acetyl
and amide groups, respectively. The sequence of the WT fragment is
Ac-NKVLFFAEDVGSN-NH2 [see Figure S1 (SI) for additional sequence information]. Mutations (D23N,
E22Q, E22G, and E22K) were introduced by deleting conflicting side-chain
atoms and rebuilding the missing atoms of the mutated residue using
the internal coordinate builder in CHARMM.[43] Each peptide was solvated in a 43-Å cubic box of water (SWM4-NDP[44] for Drude systems or TIP3P[45−47] for CHARMM36
systems) or ethanol.[48] To neutralize the
net charge of the WT peptide, one Na+ ion was added to
the system. Similarly, one Cl– ion was added to
the E22K system. Coordinates and topologies were prepared by CHARMM-GUI[49] using the Drude-2013[23] or CHARMM36[33] force fields for proteins.Each system was energy-minimized and equilibrated under an NPT ensemble for 1 ns with restraints on all peptide non-hydrogen
atoms (5.0 kcal mol–1 Å–2). Given the considerable change in size and electronic nature at
position 22 of the E22K mutation, this peptide was equilibrated for
an additional 1 ns with restraints on backbone non-hydrogen atoms
only, allowing the side chains to reorient to avoid any initial bias
from the in silico mutation. Following equilibration, unrestrained
MD simulations were carried out for 300 ns. All polarizable simulations
were performed using NAMD with the Langevin integration scheme for
polarizable simulations[50,51] or the standard leapfrog
integrator for additive simulations. Neighbor lists were updated within
16.0 Å, and short-range van der Waals interactions were switched
smoothly to zero over a range of 10.0–12.0 Å. Electrostatic
interactions were calculated using the particle mesh Ewald (PME) method,[52,53] with a 1-Å grid spacing throughout the unit cell. For polarizable
systems, a dual Langevin thermostat[50] was
used to regulate the temperature of the real atoms at 298 K and the
Drude oscillators at 1 K, using friction coefficients of 5.0 and 20.0
ps–1, respectively. The Langevin piston method[54,55] was used to regulate the pressure at 1.0 atm with a decay period
of 0.1 ps and an oscillation period of 0.2 ps. Bonds involving hydrogen
atoms were constrained with SHAKE,[56] and
the time step was set to 1 fs. A “hard-wall” constraint[57] was used to prevent displacements larger than
0.2 Å between the Drude oscillators and their parent atoms. For
additive systems, the Langevin piston method was used to regulate
temperature and pressure, with the same relaxation times as in the
Drude simulations. The integration time step for additive simulations
was 2 fs.Analysis was performed using facilities in CHARMM[43] or the GROMACS 5.0[58] interface
to the Dictionary of Secondary Structure of Proteins (DSSP).[59] For dipole analysis, the peptide bond of residue i is defined as the carbonyl functional group (including
real atoms, Drude oscillators, and lone pairs) of residue i, and the N, H, Cα, and Hα atoms and connected
Drude oscillators in residue i+1 (Figure S2, SI). The total dipole moments were decomposed
in three dimensions to provide insight into their orientations. The
peptides were aligned along the x axis based on a
least-squares fit to Cα atoms, after which dipole moments were
calculated. The x component of the dipole moment
is thus parallel to the helix axis and is referred to in the present
work as μpara. Values of μpara <
0 indicate alignment with the helix axis (Figure S2, SI).
Authors: B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus Journal: J Comput Chem Date: 2009-07-30 Impact factor: 3.376
Authors: Sander Pronk; Szilárd Páll; Roland Schulz; Per Larsson; Pär Bjelkmar; Rossen Apostolov; Michael R Shirts; Jeremy C Smith; Peter M Kasson; David van der Spoel; Berk Hess; Erik Lindahl Journal: Bioinformatics Date: 2013-02-13 Impact factor: 6.937
Authors: Robert B Best; Xiao Zhu; Jihyun Shim; Pedro E M Lopes; Jeetain Mittal; Michael Feig; Alexander D Mackerell Journal: J Chem Theory Comput Date: 2012-07-18 Impact factor: 6.006
Authors: Poonam Pandey; Asaminew H Aytenfisu; Alexander D MacKerell; Sairam S Mallajosyula Journal: J Chem Theory Comput Date: 2019-08-29 Impact factor: 6.006