US simulation
The US simulation was employed to confirm the obtained results of FPL calculations above.
The FPL trajectory was used to generate initial conformations of US simulations. In particular,
the Ca2+/Zn2+ ion coordinate was recorded every 0.3 nm to use as initial structures of biased
Table 1. The obtained results from SMD and US simulations.
< Fmax > (pN)a < W > (kcal mol−1)b ∆G (kcal mol−1)c
Zn2+ 1206.1 ± 15.6 240.5 ± 3.8 26.6 ± 3.2
Ca2+ 822.5 ± 13.8 144.5 ± 3.4 18.9 ± 1.2
sampling calculation. Each US window was produced via 30 ns of MD simulations. Therefore,
the free energy values ahead the x were computed over the US windows via a GROMACS tool
named “wham” [28]. The achieved outcome were represented in Fig. 5. Although the attitude of
free energy curves are roughly similar together, the Zn2+ ion weakly bound to Aβ at the beginning
of the simulations. Then, the Zn2+ free energy metrics quickly raised when the ion mobilized
around the end of the channel. Therefore, the free energy barrier of Zn2 is significantly larger
than that of Ca2+ ion (cf. Table 1 and Fig. 5). It may happen since Zn2+ ion probably forms a
larger interaction with Glu9, His13, and His14 residues than Ca2+ion does. Moreover, the ∆G of
Ca2+ crossing tm4Aβ1−42 is slightly larger than that of Ca2+ across S6 pore of the voltage-gated
calcium channel RyR1 (PDB ID 5TAL [36]), which was computed of 16.88 ± 1.24 kcal/mol.
Overall, the consistent observation between FPL and US simulations confirmed that Ca2+ ion is
easier to mobilize through tm4Aβ1−42 peptide than Zn2+ ion does.
Fig. 5. Free energy profile of Ca2+/Zn2+ crossing tm4Aβ1−42 sys
8 trang |
Chia sẻ: hachi492 | Lượt xem: 20 | Lượt tải: 0
Bạn đang xem nội dung tài liệu In silico probing Ca²+ and Zn²+ permeable transmembrane 4Aβ1−42 barrel, để tải tài liệu về máy bạn click vào nút DOWNLOAD ở trên
Communications in Physics, Vol. 31, No. 1 (2021), pp. 57-66
DOI:10.15625/0868-3166/15319
IN SILICO PROBING Ca2+ AND Zn2+ PERMEABLE TRANSMEMBRANE
4Aβ1−42 BARREL
SON TUNG NGO1,2,†
1Laboratory of Theoretical and Computational Biophysics,
Ton Duc Thang University, Ho Chi Minh City, Vietnam
2Faculty of Applied Sciences, Ton Duc Thang University,
Ho Chi Minh City, Vietnam
E-mail: †ngosontung@tdtu.edu.vn
Received 28 July 2020
Accepted for publication 29 October 2020
Published 5 January 2021
Abstract. Alzheimer’s disease (AD) is known as one of the most popular forms of dementia affect-
ing numerous people worldwide. The Amyloid beta (Aβ) peptides form oligomeric conformations
that cause the intracellular Ca2+ and Zn2+ abnormality leading to the death of neuron cells. The
failure of AD therapy targeting Aβ oligomers probably caused by misunderstanding the ions trans-
port through transmembrane Aβ (tmAβ) ion-like channel since Aβ oligomers transiently exist in
a mixture environment involving various order of Aβ oligomers. The high-resolution of tmAβ
peptides are thus unavailable until the date. Fortunately, computational approaches are able to
complement the missing experimental structures. The transmembrane 4Aβ1−42 (tm4Aβ1−42) bar-
rel, one of the most neurotoxic elements, was thus predicted in the previous work. Therefore, in
this context, the Ca2+/Zn2+ ions transport through the tm4Aβ1−42 barrel was investigated by us-
ing the fast pulling of ligand (FPL) and umbrella sampling (US) methods. Good consistent results
were obtained implying that Ca2+ ion transport through tm4Aβ1−42 barrel with a lower free en-
ergy barrier compared with Zn2+ ion. The obtained results about Ca2+/Zn2+ transport across
tmAβ1−42 barrel probably enhances the AD therapy since we can design an inhibitor is able to
block the transport.
Keywords: Amyloid, Barrel, Ion-Like channel, Ca2+, Zn2+, US.
Classification numbers: 87.14.ep; 82.60.-s; 05.70.Ce; 51.30.+i; 65.40.G.
I. INTRODUCTION
Amyloid beta (Aβ) peptide is characterized as a critical element associating with Alzheimer’s
disease (AD), a neurodegenerative issue affecting several millions of elders [1, 2]. The Amyloid
©2021 Vietnam Academy of Science and Technology
58 IN SILICO PROBING Ca2+ AND Zn2+ PERMEABLE. . .
cascade hypothesis was proffered to explain the nature of AD and it is widely accepted with many
preclinical and clinical investigations [3]. Initially, the supporter of the Amyloid cascade hypoth-
esis believed that Aβ fibrils are a critical factor poisoning the patient brain, but the Aβ oligomers
are then indicated as the neurotoxicity forms since generating the ion channel-like structure al-
lowing ion Ca2+ crossing [2]. The oligomers are intermediate of self-aggregating Aβ peptides
from disorder states to mature fibrils. The structures of Aβ oligomers have not been explored in
experiments since they stay in the mixture environment including several various order oligomers
and fibrils [4, 5]. On another hand, the Aβ peptide is a rapid self-aggregating peptide, the inter-
mediate shapes of the self-aggregating progress including oligomeric configurations are hard to be
detected.
Most scientists believe that the β-content is equated with neurotoxicity since the population
of the conformation is detected in Aβ aggregated forms. Therefore, rich β-content oligomers are
often considered to be a highly toxic agent. Several investigations of Aβ oligomeric shapes have
been carried out with the criteria to determine these conformations are related to β-content of Aβ
peptides [6]. The potential inhibitors for Aβ peptides are thus searched focusing on demolishing
the Aβ conformations having high β-content [7]. Both in silico and in vitro the aggregated struc-
tures of Aβ peptides are inhibited, but the drug candidates targeting Aβ peptides are almost failed
in clinical trials [8–10]. Therefore, unfortunately, after 27th years of this hypothesis, the searching
for a potential drug is a failure currently [11, 12].
The formation of a transmembrane ion channel-like structure of Aβ peptides leads to the
death of neuron cells since it disturbs the ion Ca2+ concentration. The existence of these struc-
tures has been observed using Atomic Force Microscopy [13, 14]. Although, the experimental
high resolution of these structures is still lacked, the transmembrane structures of Aβ peptides
are recently proposed using rigorous simulations fortunately [15, 16]. It is very important since
it is able to explain how Aβ oligomer disturbs the ion Ca2+ homeostasis [17]. Ca2+ crossing the
helical transmembrane Aβ1−42 tetramer (tm4Aβ1−42) was thus investigated using a incorporation
of replica exchange molecular dynamics (REMD) and umbrella sampling (US) simulations [15].
However, the ion-permeable the tm4Aβ1−42 barrel is still unknown. Moreover, although Zn2+
ion was much less considered than Ca2+ ion, intracellular Zn2+ abnormality is recently reported
that it is associated with neurodegeneration and cognitive decline than intracellular Ca2+ abnor-
mality [18]. Zn2+ ion was also bound to Aβ ion-like channel with a high affinity, resulting in
blocking and modulating the Aβ channel [19]. Preventing intracellular Ca2+ and Zn2+ abnor-
mality is raised as one of the promising AD therapy [20]. Therefore, in this context, the Ca2+
and Zn2+permeable the tm4Aβ1−42 barrel is thus investigated using steered molecular dynamics
(SMD) simulations. The obtained results are probably added to existing knowledge and may help
to enhance AD treatment.
II. MATERIALS AND METHODS
II.1. Starting structure of the Ca2+/Zn2+ + tm4Aβ1−42
The tm4Aβ1−42 peptide was obtained from the previous work [16], which was generated
over 500 ns of REMD simulations. In this work, the peptide was still parameterized via the
united-atom GROMOS 53a6 force field [21]. The peptide was fully inserted into the DPPC lipid
bilayers [22]. The ions were topologized via the GROMOS 53a6 force field. In particular, the
SON TUNG NGO 59
water molecules were substituted by Ca2+/Zn2+ ions at the selected position as shown in Fig.
1 (the blue ball). The additional ion Cl− atoms were added to neutralize the soluble systems.
Therefore, the Ca2+/Zn2+ + tm4Aβ1−42 system consists of 1 Ca2+/Zn2+, 4 Aβ peptides, 123
DPPC molecules, 4912 water molecules, 2 Cl− ions, and neutralized 12 Na+ ions (total atoms
of 22537). The system was placed into a rectangular periodic boundary condition box, denoted
as PBC, with a size of 63.8× 64.0× 77.4 Angstrom. The initial structure of the Ca2+/Zn2+ +
tm4Aβ1−42 systems were shown in Fig. 1.
Fig. 1. The starting conformation of the Ca2+/Zn2+ + tm4Aβ1−42 system in different
view-orientations. Blue ball represents the Ca2+/Zn2+ ion.
II.2. Molecular dynamics (MD) simulation
GROMACS version 5.1.5 [23] was operated to replicate the Ca2+/Zn2+ + tm4Aβ1−42 sys-
tem. The MD simulations were executed with the specifications denoted to the earlier probes [24].
Particularly, the MD time step is 2 fs. The nonbonded pair was influenced within a radius of 9
Angstrom. The Coulomb interaction was enumerated via the fast Particle-Mesh Ewald electrostat-
ics interpretation [25]. The Ca2+/Zn2+ + tm4Aβ1−42 system was then minimized and equilibrated
over energic minimization (EM), canonical (NVT), and isothermal-isobaric (NPT) simulations.
The length of NVT and NPT simulations was length of 0.1 ns. During NVT simulation, the
tm4Aβ1−42Cα atoms and Ca2+/Zn2+ ions were impelled by implementing an inadequate har-
monic force with a amount of 1000 kJ mol−1nm−2 per dimensions. The equilibrated shape of
the Ca2+/Zn2+ + tm4Aβ1−42 system was subsequently employed as the initial shape of SMD
simulations with a total interval of 0.8 ns.
60 IN SILICO PROBING Ca2+ AND Zn2+ PERMEABLE. . .
II.3. FPL simulation
The final conformation of isobaric-isothermal imitations was engaged as the starting shape
for FPL simulation [26]. Computational investigations were espoused to the prior examina-
tions [26]. In specific, the initial structure of SMD simulations is shown in Fig. 2. The spring
constant cantilever, k, and pulling velocity, v, were chosen as 600 kJ mol−1 nm−2 and 0.005 nm
ps−1, correspondingly. During the atomistic computations, the Cα atoms of tmAβ1−42 peptide
were positionally impeded using an inadequate harmonic potential. An external harmonic force
was put on the Ca2+/Zn2+ ions to force the ion to mobilize across the ion-like channel. (cf. Fig. 2).
The ionic transposition and value of pulling force forwards Z-orientation were tracked each inter-
val of 0.1 ps. The FPL assessments were reduplicated with 100 independent times to assurance
the sampling of assessments.
Fig. 2. The initial conformation of SMD simulations. The Ca2+/Zn2+ ions were forced
to mobilize across the tm4Aβ1−42 peptide along Z-axis.
II.4. US simulation
The free energy terms of Ca2+/Zn2+ ions along Z-orientation, reaction coordinate ξ , was
appraised via the US scheme [27]. The FPL mimicking was manipulated to produce the inves-
tigated shapes of the US simulations. The Ca2+/Zn2+ atoms were mobilized along Z-axis as
mentioned above. Several shapes along the ξ was created with the spacing of ca. 3;A˚ as referring
to the previous study [15]. These shapes were manipulated as the commencing inputs of the US
assessments with a length of 30 ns per windows, in which the first 10 ns in each window was
disbanded from the analysis to avoid any initial bias. The difference of free energy, ∆G, of ion
SON TUNG NGO 61
Ca2+/Zn2+ passing the barrier was assessed from the potential of mean force, noted as PMF, via
the weighted histogram analysis, noted as WHAM, protocol [28] with 100 rounds of bootstrapping
calculation [29].
III. RESULTS AND DISCUSSION
We first reported an exhaustive analysis of the computations with GROMOS96 56a3/SPC
force field about the conduction of Ca2+/Zn2+ ions crossing tm4Aβ1−42 peptide via SMD and
US simulations. The starting conformation of the tm4Aβ1−42 peptide was obtained from 500 ns
of REMD simulations in the previous work [16] as shown in Fig. 1. It should be noted that the
metastable structure was selected as conformation A of Ref. [16] and the structure occupied 48%
of total snapshots of REMD simulations and its inner diameter pore was measured as 0.75 nm [16].
The structure of tm4Aβ1−42 peptide consists of 8-stranded β-sheets in antiparallel states that they
construct 4 β-hairpins. The Cα atoms of the tmAβ1−42 peptide were positionally restrained during
the simulations to prevent any effects of external pulling force on the β-barrel structure.
III.1. Durability of DPPC lipid during simulation
Fig. 3. Lipid order parameters of carbon atoms of both acyl chains sn1 and sn2. The
computed error is the standard deviation over 100 independent trajectories.
The influence of tm4Aβ1−42 peptide on the structure of DPPC lipid bilayers can be pre-
dicted through the investigation of lipid stabilization. Moreover, investigating lipid durability also
revealed that applying external force does not disrupt the system. The stabilization of DPPC lipid
bilayers during the MD simulations was thus estimated via the analysis of lipid order parameters.
The parameters were calculated for carbon atoms of both acyl chains sn1 and sn2 as shown in
Fig. 3. The error of lipid order parameters SCD = 12 3cos
2ϕ−1, where ϕ is the angle between the
bilayer normal and Ci−1−Ci+1 vector, showing in Fig. 3 is the standard deviation that is estimated
62 IN SILICO PROBING Ca2+ AND Zn2+ PERMEABLE. . .
over 100 independent trajectories. The obtained values are in good consistency with the previ-
ous works [30–34], although the attained values differ from the isolated DPPC system [32]. The
difference suggests the change of DPPC lipid bilayers under the effects of tm4Aβ1−42 peptide.
III.2. SMD simulation
Fig. 4. The mean pulling work of external force over 100 independent SMD
trajectories, which was calculated via formula W = v
∫ t
0 F (t)dt , where v is pulling speed
and F is pulling force. The blurred area along mentioned the assessed error,
which was calculated as the standard error of the average.
As mentioned above, Aβ peptides are able to form ion-like channel structures that disturb
the Ca2+ homeostasis since leaving the ion transport through these conformations. Clarifying
the physical insights into the ion transference over the tmAβ peptides is thus of great interest.
However, studying the issue using the unrestrained MD simulations will be required a huge CPU
time consumption. Therefore, the FPL scheme [26] was utilized to estimate the free energy barrier
of Ca2+/Zn2+ ion crossing tm4Aβ1−42 system that results were shown in Table 1 and Fig. 4.
Moreover, it should be noted that we may argue that the ion transport through tmAβ peptides with
a larger free energy barrier probably requires a larger pulling force to oblige the ion across the
Aβ ion-like channels. The reason is probably explained that the ion required a larger free energy
barrier possibly has a larger binding affinity to the Aβ peptide. Table 1 demonstrated that the Zn2+
ion required a larger pulling force to mobilize across the tm4Aβ1−42 barrel in comparison with the
Ca2+ ion. The obtained results implied that Zn2+ has a large binding affinity to tmAβ peptide,
resulting in blocking the transport of Ca2+ crossing Aβ channel [35].
The average values of pulling forcea and workb over 100 independent SMD trajectories.
The free energy barrier ∆G obtained via US simulations.
III.3. US simulation
The US simulation was employed to confirm the obtained results of FPL calculations above.
The FPL trajectory was used to generate initial conformations of US simulations. In particular,
the Ca2+/Zn2+ ion coordinate was recorded every 0.3 nm to use as initial structures of biased
SON TUNG NGO 63
Table 1. The obtained results from SMD and US simulations.
(pN)a (kcal mol−1)b ∆G (kcal mol−1)c
Zn2+ 1206.1 ± 15.6 240.5 ± 3.8 26.6 ± 3.2
Ca2+ 822.5 ± 13.8 144.5 ± 3.4 18.9 ± 1.2
sampling calculation. Each US window was produced via 30 ns of MD simulations. Therefore,
the free energy values ahead the ξ were computed over the US windows via a GROMACS tool
named “wham” [28]. The achieved outcome were represented in Fig. 5. Although the attitude of
free energy curves are roughly similar together, the Zn2+ ion weakly bound to Aβ at the beginning
of the simulations. Then, the Zn2+ free energy metrics quickly raised when the ion mobilized
around the end of the channel. Therefore, the free energy barrier of Zn2 is significantly larger
than that of Ca2+ ion (cf. Table 1 and Fig. 5). It may happen since Zn2+ ion probably forms a
larger interaction with Glu9, His13, and His14 residues than Ca2+ion does. Moreover, the ∆G of
Ca2+ crossing tm4Aβ1−42 is slightly larger than that of Ca2+ across S6 pore of the voltage-gated
calcium channel RyR1 (PDB ID 5TAL [36]), which was computed of 16.88 ± 1.24 kcal/mol.
Overall, the consistent observation between FPL and US simulations confirmed that Ca2+ ion is
easier to mobilize through tm4Aβ1−42 peptide than Zn2+ ion does.
Fig. 5. Free energy profile of Ca2+/Zn2+ crossing tm4Aβ1−42 system.
IV. CONCLUSIONS
The transport of Ca2+ and Zn2+ ions through tm4Aβ1−42 peptide was studied by using
both the FPL and US simulations. Good consistent results were obtained implying that Ca2+
ion transport through tm4Aβ1−42 barrel with a lower free energy barrier compared with Zn2+
ion. It probably occurs since Zn2+ ion probably has a strong interaction with Glu9, His13, and
His14 residues than Ca2+ion does. Moreover, according to the US results, Ca2+ ion was indicated
that the ion favorably interacts with Aβ C-terminal than the N-terminal, while Zn2+ ion adopts
64 IN SILICO PROBING Ca2+ AND Zn2+ PERMEABLE. . .
stronger binding to the N-terminal of tmAβ1−42 barrel than the C-terminal one. Furthermore, the
free energy barrier Ca2+ across the tm4Aβ1−42 is approximately the same range with crossing
calcium channel S6. Overall, obtained results about Ca2+/Zn2+ transport across tmAβ1−42 barrel
may help to enhances the AD therapy.
ACKNOWLEDGEMENTS
This work is funded by Vietnam National Foundation for Science & Technology Develop-
ment (NAFOSTED) under the grant number 104.99-2019.57.
REFERENCES
[1] D. J. Selkoe, Neuron 6 (1991) 487.
[2] H. W. Querfurth, F. M. LaFerla, N. Engl. J. Med. 362 (2010) 329.
[3] D. J. Selkoe, J. Hardy, EMBO Mol. Med. 8 (2016) 595.
[4] G. Bitan, M. D. Kirkitadze, A. Lomakin, S. S. Vollers, G. B. Benedek and D. B. Teplow, Proc. Natl. Acad. Sci.
U.S.A. 100 (2003) 330.
[5] M. D. Kirkitadze, M. M. Condron and D. B. Teplow, J. Mol. Biol. 312 (2001) 1103.
[6] S. T. Ngo, H. M. Hung, D. T. Truong, M. T. Nguyen, Phys. Chem. Chem. Phys. 19 (2017) 1909.
[7] S. T. Ngo, D. T. Truong, N. M. Tam and M. T. Nguyen, J. Mol. Graph. Model. 76 (2017) 1-10.
[8] L. M. Jarvis, Chem. Eng. News 90 (2012) 8.
[9] A. Abbott and E. Dolgin, Nature 540 (2016) 15.
[10] F. Panza, V. Solfrizzi, B.P. Imbimbo, G. Logroscino, Expert Opin. Biol. Ther. 14 (2014) 1465.
[11] W. I. Rosenblum, Neurobiol Aging 35 (2014) 969.
[12] A. J. Doig, M. P. del Castillo-Frias, O. Berthoumieu, B. Tarus, J. Nasica-Labouze, F. Sterpone, P. H. Nguyen, N.
M. Hooper, P. Faller and P. Derreumaux, ACS Chem Neurosci 8 (2017) 1435.
[13] R. Lal, H. Lin, A.P. Quist, BBA - Biomembranes 1768 (2007) 1966.
[14] L. Connelly, H. Jang, F. T. Arce, R. Capone, S. A. Kotler, S. Ramachandran, B. L. Kagan, R. Nussinov and R.
Lal, J. Phys. Chem. B 116 (2012) 1728.
[15] S.T. Ngo, P. Derreumaux, V.V. Vu, J. Phys. Chem. B 123 (2019) 2645.
[16] P.H. Nguyen, J.M. Campanera, S.T. Ngo, A. Loquet, P. Derreumaux, J. Phys. Chem. B 123 (2019) 3643.
[17] L. Tran, N. Basdevant, C. Pre´vost, T. Ha-Duong, Scientific Reports 6 (2016) 21429.
[18] H. Tamano, A. Takeda, Biol. Pharm. Bull. 42 (2019) 1070.
[19] N. Arispe, H.B. Pollard, E. Rojas, Proc. Natl. Acad. Sci. U.S.A 93 (1996) 1710.
[20] C. Corona, A. Pensalfini, V. Frazzini, S. L. Sensi, Cell Death Dis. 2 (2011) e176-e.
[21] C. Oostenbrink, A. Villa, A. E. Mark, W. F. Van Gunsteren, J. Comput. Chem. 25 (2004) 1656-76.
[22] J.F. Nagle, Biophys. J. 64 (1993) 1476.
[23] M. J. Abraham, T. Murtolad, R. Schulz, S. Pa´lla, J. C. Smith, B. Hessa and E. Lindahl, SoftwareX 1–2 (2015) 19.
[24] S. T. Ngo, Comm. Phys. 28 (2018) 265.
[25] T. Darden, D. York, L. Pedersen, J. Chem. Phys. 98 (1993) 10089.
[26] S. T. Ngo, H. M. Hung, M. T. Nguyen, J. Comput. Chem. 37 (2016) 2734.
[27] G. M. Torrie, J. P. Valleau, J. Comput. Phys. 23 (1977) 187.
[28] J. S. Hub, B.L. de Groot, D. van der Spoel, J. Chem. Theory Comput. 6 (2010) 3713.
[29] B. Efron. Ann. Stat. 7 (1979) 1.
[30] H. I. Petrache, S.W. Dodd, M. F. Brown, Biophys. J. 79 (2000) 3172.
[31] S. T. Ngo, M. T. Nguyen, N. T. Nguyen, V. V. Vu, J. Phys. Chem. B 121 (2017) 8467.
[32] S. T. Ngo, H. M. Hung, K. N. Tran, M. T. Nguyen, RSC Adv. 7 (2017) 7346.
[33] D. P. Tieleman, S.J. Marrink, H.J.C. Berendsen, BBA-Rev. Biomembranes 1331 (1997) 235.
[34] H. M. Hung, V. P. Nguyen, S. T. Ngo, M. T. Nguyen, BioPhys. Chem. 217 (2016) 1.
[35] C. Di Scala, N. Yahi, S. Boutemeur, A. Flores, L. Rodriguez, H. Chahinian, et al., Sci. Rep. 6 (2016) 28781.
[36] A. des Georges, O. B. Clarke, R. Zalk, Q. Yuan, K. J. Condon, R. A. Grassucci, W. A. Hendrickson, A. R Marks
and J. Frank, Cell 167 (2016) 145-57.e17.
Các file đính kèm theo tài liệu này:
in_silico_probing_ca_and_zn_permeable_transmembrane_4a142_ba.pdf