Molecular Dynamics Simulations Analysis Gaucher Disease

In this task, we followed the steps of the molecular modeling practical by the University Utrecht[1] for analysing the molecular dynamics simulations which were set up in Task 8. After we had verified that the MD simulations terminated properly, we employed tools of the GROMACS package<ref name="gromacs">Erik Lindahl, Berk Hess, and David van der Spoel. GROMACS 3.0: a package for molecular simulation and trajectory analysis. Journal of Molecular Modeling, 7(8):306–317, August 2001.</ref> to investigate the dynamics of GCase (2nt0_A) and the mutants L470P as well as W209. Technical details can be found in our protocol.

A brief check of results

We briefly checked the length of the MD simulations via gmxcheck. Since we used the AGroS paramter -lengthMD 10, we expected the MD simulation to be 10 ns long. gmxcheck reported for each simulation 2001 frames and a time step of 5 ps per frame which amounts to the expected length of 2001*5ps=10ns.

We further investigated the runtime of the MD simulation by looking at the log files. The simulation of the WT took approximately twice as long as the other two mutations since we used only 16 instead of 32 cores. Performing a MD simulation over 1s would take more than 100000 years if the same hardware were used than we did.

<figtable id="tab:runtime">

Name	Runtime	ns/day	years/1s
WT	16h25:59	14.605	187536
L470P	9h20:49	25.677	106699
W209R	9h18:47	25.770	106314

Runtime of the MD simulations and the estimated runtime for a simulation length of 1s. </figtable> The computation of the energy term Coul(T) + LJ [W3-W3] accounted for most (47%) of the floating point operations.

Visualization

For getting a first impression of the MD simulations, we visualized the structures stored in the trajectory files. A course grained animation of the three simulations with 29 frames is shown in <xr id="fig:viz"/>. Altogether, the animations indicate that all three simulations terminated successfully without sever structural changes. Based on the visual inspection, we could not detect any rearrangements which would suggest a malign effect of one of the mutations. However, the active site residue E235 and E340 might be more flexible in L470P compared to the wildtype.

<figure id="fig:viz">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

Visualization of the MD simulations. Red: the active site residues E235 and E340; Blue: the mutated residue. </figure>

Quality assurance

We checked the quality of the MD simulations based on the convergence of thermodynamic parameters, the convergence of the radius of gyration, the convergence of the RMSD, and the minimum distance between periodic boundary cells.

Thermodynamic parameters

<xr id="fig:qual_pres"/> shows the development of the pressure along the MD simulations. In all three cases, the pressure fluctuates between -200 and 200 bar but the average pressure of 1 bar does not change. In contrast the the wildtype which exhibits a negative drift, the pressure slightly increases in case of L470P and W209R.

<figure id="fig:qual_pres">

</subfigure> </subfigure> </subfigure>

Wildtype (1.0069/-0.0423231)

L470P (0.996977/0.0144563)

W209R (1.00887/0.00535799)

<subfigure>

<subfigure>

<subfigure>

Development of the pressure during the MD simulation. In brackets: average/total-drift. </figure>

The temperature of 297.9 K remains constant and varies by only +/- 2 K (<xr id="fig:qual_temp"/>).

<figure id="fig:qual_temp">

</subfigure> </subfigure> </subfigure>

Wildtype (297.912/0.00443415)

L470P (297.907/-0.00147577)

W209R (297.915/0.0095005)

<subfigure>

<subfigure>

<subfigure>

Development of the temperature during the MD simulation. In brackets: average/total-drift. </figure>

Both the potential energy and the total energy reduces at the beginning of the MD simulations (<xr id="fig:qual_pot"/>, <xr id="fig:qual_tot"/>). L470P shows the strongest shift towards the negative range, i.e. the stability of the structure increases most.

<figure id="fig:qual_pot">

</subfigure> </subfigure> </subfigure>

Wildtype (-939801/-450.018)

L470P (-940007/-705.14)

W209R (-940568/-355.406)

<subfigure>

<subfigure>

<subfigure>

Development of the potential energy during the MD simulation. In brackets: average/total-drift. </figure>

<figure id="fig:qual_tot">

</subfigure> </subfigure> </subfigure>

Wildtype (-768901/-447.47)

L470P (-769094/-705.985)

W209R (-769675/-349.952)

<subfigure>

<subfigure>

<subfigure>

Development of the total energy during the MD simulation. In brackets: average/total-drift. </figure>

Root Mean Square Deviation

The root mean square deviation (RMSD) between two protein structures is the mean square distance between corresponding atoms in both structures. Only backbone atoms or all protein atoms can be taken into account for computing the RMSD. Plotting the RMSD between structures of the trajectory and a reference structure allows for testing the convergence of the MD simulation. As reference structure, the initial or the average structure of the MD simulation can be used.

<xr id="fig:rmsd_bp_start"/> shows the RMSD of all three MD simulations relative to the initial MD structure. In all three cases, the RMSD changes most at the beginning of the MD simulation but little at the end indicating that the MD simulations converged properly. As expected, including side-chain atoms results in a higher RMSD. The conformations of GCase diverges most in case of L470P.

<figure id="fig:rmsd_bp_start">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

RMSD of structures in the trajectory from the initial structure. RMSD calculation is based only on backbone atoms (black) or all protein atoms (red). </figure>

In contrast to <xr id="fig:rmsd_bp_start"/>, <xr id="fig:rmsdist_bp_start"/> shows the RMSD without least-square fitting. The RMSD values decrease and become less noisy, but the overall pattern does not change.

<figure id="fig:rmsdist_bp_start">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

RMSD of structures in the trajectory from the initial structure without least square fitting. RMSD calculation is based only on backbone atoms (black) or all protein atoms (red). </figure>

<xr id="fig:rmsd_p_avg"/> shows the development of the RMSD if the average structure is used as reference. In all three cases, the RMSD drops at the beginning and converges to about 0.12nm. The conformation at the end of the simulation is more similar to the average structure than to the initial structure.

<figure id="fig:rmsd_p_avg">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

RMSD of structures in the trajectory from the average structure. RMSD calculation is based on all protein atoms. </figure>

Radius of gyration

The radius of gyration (Rg) is the root mean square deviation of all atoms from the centroid or the main diagonals of the protein. It is therefore used to quantify the overall shape of the protein. <xr id="fig:gyrate"/> depicts the Rg of GCase for all three mutations which hardly changes. Hence, the protein conformations remained stable. <figure id="fig:gyrate">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

Raduis of gyration (Rg) of GCase during the simulated time frame. Black: Rg centroid; Red: Rg x-axis; Green: Rg y-axis; Blue: Rg z-axis. </figure>

Minimum distance between periodic boundary cells

Self-interactions between periodic images are unphysical and might disturb the MD simulations. We therefore checked the minimal distance to adjacent cells by taking (a) only C-alpha atoms and (b) also side-chain atoms into account (<xr id="fig:mindist"/>).

In all three simulations, the minimal distance slightly decreases but does not falls below the cut-off distance of 2 nm. If only C-alpha atoms are taking into account, the minimal distance is bout 0.5 nm higher compared to using all protein atoms. This corresponds to an average side-chain length of 5 A. For W209R, the minimal distance drops below 2 nm at 9180 ps but then increases again such that this event does not impact the MD simulation.

<figure id="fig:mindist">

</subfigure> </subfigure> </subfigure>

Wildtype (6860: 2.72/3820: 2.08)

L470P (365: 2.28 / 7395: 2.08)

W209R (9720: 2.61 / 9180: 1.95)

<subfigure>

<subfigure>

<subfigure>

Minimal distance to the adjacent cell with respect C-alpha atoms (black) and all protein atoms (red). In brackets: time frame and minimal distance for c-alpha/protein atoms. </figure>

Flexibility

After we had verified that our MD simulations terminated probably, we investigated the flexibility of the wildtype and the mutant structures. We further compared the flexibility of L470P and W209R to the wildtype for identifying changes in the flexibility which might indicate perturbations of glycosylceramidase activity.

RMSF

For quantifying the flexibility we used the Root Mean Square Fluctation (RMSF). The RMSF of residue i is the mean square deviation from the position of i in the average structure. The average structures of all three simulations are shown in <xr id="fig:rmsf_avg"/> which were compared to the structure used for initializing the production run. Although the structures obviously changes during the simulation (<xr id="fig:viz"/>), the average structure hardly deviated from the initial structure in all three cases. Furthermore, we could not identify any significant changes between the average structure of the wildtype, L470P, and W209R.

<figure id="fig:rmsf_avg">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

Superposition of the average g_rmsf (green) structure onto the initial structure (blue). </figure>

<xr id="fig:rmsf_c"/> shows the RMSF of the C-alpha atoms which were used to color the residues in <xr id="fig:rmsf"/>. The fluctuation of all atoms per residue is depicted in <xr id="fig:rmsf_p"/>. The fluctuation patterns of <xr id="fig:rmsf_p"/> coincide with <xr id="fig:rmsf_c"/> but the amplitudes are more pronounced since side chains can rotate without changing the position of the C-alpha atom.

In all three simulations, the region 15-75 is fluctuating most which covers flexible loop regions of the hydrolase domain shown in the top left corner of <xr id="fig:rmsf"/>. Furthermore, the loop 341-350 at the center is moving dynamically, in particular residue F347 which belongs to the residues with the highest RMSF in all three simulations. The flexibility of loop 341-350 might be in fact functionally relevant since it is at the entrance of the TIM-beta/alpha-barrel domain which includes the active site residues E235 and E340. In W209R, the adjacent loop 393-396 is also fluctuating conspicuously.

<figure id="fig:rmsf">

</subfigure> </subfigure> </subfigure>

Wildtype. Most flexible residues: 169, 347, 441.

L470P. Most flexible residues: 28, 30, 49, 197, 347, 313.

W209R. Most flexible residues: 61, 63, 347, 348, 395, 397.

<subfigure>

<subfigure>

<subfigure>

MD simulations with residues colored by the RMSF per residue and C-alpha atom. Red: high flexibility; Green: intermediate flexibility; Blue: low flexibility; Purple: mutant residue; Sticks: residues with the highest RMSF. </figure>

<figure id="fig:rmsf_c">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

RMSF per residue with respect to the C-alpha atom. </figure>

<figure id="fig:rmsf_p">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

RMSF per residue with respect to all atoms. </figure>

RMSF L470P vs. RMSF wildtype

For testing to which extent the motion of certain parts of L470P differ from the wildtype, we substracted the RMSF values of the wildtype from the RMSF values of L470P, i.e deltaRMSF = RMSFmut-RMSFwt. The difference of <xr id="fig:rmsf_c#2"/> and <xr id="fig:rmsf_c#1"/> is shown in <xr id="fig:rmsf_L470P_diff#1"/>: positive and negative values indicate regions in L470P which are more flexible and less flexible compared to the wildtype, respectively.

We further applied the two-sided Student's t-test for testing whether the mean of <xr id="fig:rmsf_L470P_diff#1"/> significantly deviates from zero, i.e. whether there is a significant difference in the fluctuation between the wildtype and L470P. For this, we first computed the test-statistic t=sqrt(n)*avg(deltaRMSF)/sd(deltaRMSF), where sqrt is the square root, avg the average, and sd the sampling standard deviation. Next, we computed the p-value P(|T| > t) using the t-distribution with n-1 degrees of freedom. And in deed, L470P is significantly (p-value 5e-13) more flexible compared to the wildtype.

In order to identify the regions which contribute most to the change in flexibility, we colored residues of L470P according to deltaRMSF. <xr id="fig:rmsf_L470P_diff#2"/> reveals that there are two loop regions (23-33, 42-53) underneath the hydrolase domain which are moving conspicuously. <xr id="fig:rmsf_L470P_diff#2"/> depicts that both loop regions are exposed and might be interacting with other constituents of the lysosomal membrane. These interactions might be disturbed by the increased flexibility due to L470P.

<figure id="fig:rmsf_L470P_diff">

</subfigure> </subfigure> </subfigure>

Difference RMSF mutant - RMSF wildtype. The most flexible regions (23-33) and (42-53) are bordered by the red and orange vertical lines, respectively.

MD simulation of L470P. The red loop regions are moving most.

Surface of L470P. The flexible loops are on the surface of the protein.

<subfigure>

<subfigure>

<subfigure>

RMSF L470P compared to RMSF wildtype. The RMSF difference of Figure a were used for coloring residues. Red: higher flexibility; Green: same flexibility; Blue: lower flexibility; Purple: L470. Loop region 23-33 and 42-53 is significantly more flexible in L470P than in the wildtype. </figure>

RMSF W209R vs. RMSF wildtype

We investigated the difference of W209R and the wildtype in the same way as described above. <xr id="fig:rmsf_W209R_diff#1"/> illustrates that there are single residues whose mobility changed in W209R relative to the wildtype. Specifically, E395 (<xr id="fig:rmsf#3"/>) is more mobile, and T180 is less mobile. However, the overall fluctuation does not significantly (p-value 0.34) differ from the wildtype. We found that the positively charged mutant residue R209 forms a hydrogen bond to T180 (<xr id="fig:rmsf_W209R_diff#2"/>, <xr id="fig:rmsf_W209R_diff#3"/>) and therefore reduces the flexibility of T180. This might be one reason for the malign effect of W209R.

<figure id="fig:rmsf_W209R_diff">

</subfigure> </subfigure> </subfigure>

Difference RMSF mutant - RMSF wildtype. T180 and S181 are less flexible due to interactions with R209.

MD simulation of W209R. The blue loop adjacent to W209 (purple) is bordered red in Figure a.

W209 forms a hydrogen bond to T180 which becomes therefore less flexible.

<subfigure>

<subfigure>

<subfigure>

RMSF W209R compared to RMSF wildtype. The RMSF difference of Figure a were used for coloring residues. Red: higher flexibility; Green: same flexibility; Blue: lower flexibility; Purple: W209. The flexibility does not significantly differ from the wildtype. </figure>

Hydrogen bond network

Secondary structure elements like alpha-helices and beta-sheets are stabilised by hydrogen bonds between residues. Hence, changes in the hydrogen bond network can entail structural and functional changes. We therefore investigated the number of hydrogen bonds (HB) between protein residues (<xr id="fig:hbond_pp"/>) as well as between protein residues and water molecules (<xr id="fig:hbond_pw"/>).

The number of protein-protein HBs strongly fluctuates but remains constant for the wildtype and L470P. For W209R, the number decreases from 380 to about 370. There are on average 366 protein-protein HBs in case of L470P, significantly (two sample unpaired t-test) less compared to the wildtype.

The number of protein-water HBs is less robust then the number of protein-protein HBs, in particular for the wildtype (<xr id="fig:hbond_pw#1"/>) and W209R (<xr id="fig:hbond_pw#3"/>). In case of L470P, the number of HBs increases and converges to about 1300, significantly more compared to the wildtype.

In conclusion, L470P exhibits less HBs between residues and more HBs between residues and water molecules. This might account for higher flexibility described in #RMSF L470P vs. RMSF wildtype.

<figure id="fig:hbond_pp">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

Number of hydrogen bonds between protein residues along the MD simulation. The blue line indicates the mean number of hydrogen bonds. </figure>

<figure id="fig:hbond_pw">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

Number of hydrogen bonds between protein residues and water molecules along the MD simulation. The blue line indicates the mean number of hydrogen bonds. </figure>

Solvent Accessibility Surface

The solvent accessibility surface (SAS) of a residue is the area in angstrom^2 which is accessible for solvent molecules. It is further subdivided into the hydrophilic and hydrophobic SAS depending on which kind of interactions the residue area is accessible for. The ratio of the hydrophobic to hydrophilic SAS tends to be high for hydrophobic residues and low for hydrophilic residues. However, there are exception like lysine which exhibits the largest hydrophobic SAS due to its long carbon chain. Apart from physicochemical properties, the SAS of a residue also relies on the folding of a protein. The SAS per residue reduces on average by 20% as a result of folding and the total SAS of all residues is an indicator for the compactness of a protein. <ref name="sas">L. Lins, A. Thomas, and R. Brasseur. Analysis of accessible surface of residues in proteins. Protein Sci, 12(7):1406–1417, July 2003.</ref>

We therefore analysed the SAS of the three MD simulations (<xr id="fig:sas"/>). The hydrophobic SAS is smaller than the hydrophilic SAS suggesting that GCase has a hydrophobic core and is relatively compact. For the wildtype and W209R, the hydrophilic and hydrophobic SAS remains constant with about 122 and 102 nm^2, respectively. For L470P, the SAS increases along the MD simulation and is on average significantly higher compared to the wildtype using the unpaired two sample t-test.

<figure id="fig:sas">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

Size of total hydrophilic and hydrophobic SAS along the MD simulation. </figure>

SAS L470P vs. SAS Wildtype

By comparing the average SAS per residue of L470P to the wildtype, we indented to recognize structural changes caused by the mutation. For this, we computed the difference of the average SAS per residue for L470P and the wildtype, i.e. dSAS(i)=SAS_L470P(i)-SAS_WT(i). <xr id="fig:sas_L470P#1"/> depicts dSAS(i) for all residues i which were used to color the surface residues in <xr id="fig:sas_L470P#2"/>. F31 and M49, which belong to the loop regions described in #RMSF L470P vs. RMSF wildtype, are considerably more exposed in L470P compared to the wildtype. We conclude that L470P causes a reduction of inter protein hydrogen bonds which increases the flexibility of GCase and makes it more accessible for solvent molecules.

<figure id="fig:sas_L470P">

</subfigure> </subfigure>

SAS difference dSAS(i)=SAS_L470P(i)-SAS_WT(i).

Surface of L470P using dSAS(i) of figure a for coloring residue i. Red: higher SAS; Green: same SAS; Blue: lower SAS. The red and the yellow spot in the front belong to F31 and M49 which exhibit a larger SAS.

<subfigure>

<subfigure>

Size of SAS per residue of L470P compared to wildtype. SAS of F31 and M49 is enlarged. </figure>

SAS W209R vs. SAS Wildtype

The SAS of W209R does not change as much relative to the wildtype than L470P. dSAS is the lowest for Y313 (<xr id="fig:sas_W209R#1"/>) which is part of a beta-sheet close to the active site (<xr id="fig:sas_W209R#2"/>).

<figure id="fig:sas_W209R">

</subfigure> </subfigure>

SAS difference dSAS(i)=SAS_W209R(i)-SAS_WT(i).

L470P using dSAS(i) of figure a for coloring residue i. Red: higher SAS; Green: same SAS; Blue: lower SAS. Y313 is colored in blue and exhibits a lower SAS.

<subfigure>

<subfigure>

Size of SAS per residue of W209R compared to wildtype. SAS of Y313 is reduced. </figure>

Ramachandran plot

<figure id="fig:rama_gen">

Illustration of the dihedral angles phi/psi and regions in a Ramachandran plot which refer to certain secondary structure elements. Source:

</figure> The Ramachandran plot visualizes the dihedral angles phi and psi of amino acids of a protein structure (<xr id="fig:rama_gen"/>). Only phi/psi configurations which do not result in spatial clashed are allowed. These configurations depend on the side-chain of each residue and the secondary structure element they are part of. A Ramachandran plot can therefore shed light on the distribution of amino acids and the prevalence of secondary structure elements.

<xr id="fig:rama"/> depicts the Ramachandran plots for all three MD simulations. Each plot shows the phi/psi distribution of all 2001 structures in the trajectory and thus represents the average distribution of phi/psi angles. Alpha helices occur with the highest frequency and there are only few residues which do not belong to certain secondary structure regions. There are no remarkable differences between the Ramachandran plots of the three MD simulations which is consistent with the observation that that the structures keep a similar radius of gyration (<xr id="fig:gyrate"/>).
<figure id="fig:rama">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

Ramachandran plots showing the distribution of phi/psi angles of all 2001 structures in the trajectory. The coloring corresponds to the frequency of phi/psi. </figure>

Analysis of dynamics and time-averaged properties

For checking for the existence of particular conformations which often recur in the MD simulation, we clustered all structures in the trajectory. The root mean square deviation (RMSD) was used for measuring the distance of two structures. All backbone atoms and C-beta atoms were taken into account for computing the RMSD. Next, an iterative clustering algorithm was employed which computes in each iteration the number of neighbors of all structures and determines the structure with the highest number of neighbors. This structure and all its neighbors are then clustered and the algorithm proceeds with all remaining structures. Neighbors are all structures with a RMSD below a user defined cut-off value. We chose 0.9nm as cut-off for obtaining more than 10 clusters.

<xr id="fig:cluster_clusters"/> depicts the RMSD between all structures in the trajectory and whether they belong to the same cluster. <xr id="fig:cluster_time"/> shows to which cluster structures in the trajectory belong to, where the clusters are sorted by the number of cluster members. A superposition of the two largest clusters is shown in <xr id="fig:cluster_super"/>.

For quantifying the similarity of structures in the trajectory, we computed the Root Mean Square Deviations (RMSD) between all structures in the trajectory. Both for least-square fitting and for calculating the RMSD, backbone and the C-beta atoms were taken into account.

<figure id="fig:cluster_clusters">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

Upper half:RMSD between all pairs of structures in the trajectory. Lower half: Red and blue dots correspond to pairs of structures belonging to the same and different cluster, respectively. </figure>

<figure id="fig:cluster_time">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

Structures in the trajectory (x-axis) vs. the cluster number they belong to. </figure>

<figure id="fig:cluster_super">

</subfigure> </subfigure> </subfigure>

Wildtype

L470P

W209R

<subfigure>

<subfigure>

<subfigure>

Superposition of the medoids of largest (green) and the second largest (blue) cluster. </figure>

Wildtype

There are three major clusters in the wildtype trajectory with 685 (cluster 1), 163 (cluster 2), and 69 (cluster 3) members. The majority of structures up to a simulation time of 2000ps belong to cluster 2. At 2000ps, there is a transition from cluster 2 to cluster 1 which covers most structures until the end of the simulation. In other words, the conformation changes conspicuously at 2000ps and then remains stable until 10ns expect for some transitions to a conformation described by cluster 3. Cluster 2 and cluster 1 mainly differ in loop regions of the hydrolase domain (<xr id="fig:cluster_super#1"/>)

L470P

There are two dominant clusters in the trajectory of L470P with 539 (cluster 1) and 296 (cluster 2) members. Cluster 2 covers most structures up to about 4000ps, whereas cluster 1 covers structures after 4000ps. Mainly loop regions close to the hydrolase domain change during the transition from cluster 2 to cluster 1 (<xr id="fig:cluster_super#2"/>

W209R

The three largest clusters of W209R have 521 (cluster 1), 209 (cluster 2), and 137 (cluster 3) members. There is a transition from cluster 3 to cluster 1 at about 1800ps and the conformation of GCase starts to fluctuate between cluster 1 and cluster 2 at 6200ps. As for the wildtype and L470P, the cluster members mainly differ in loops close to the hydrolase domain.

Discussion

In this task, we employed tools of the GROMACS package for analysing 10ns long MD simulations of the wildtype structure of GCase as well as the mutants L470P and W209R. We first investigated the quality of the MD simulations by checking several MD parameters and the convergence of the simulations. We could not identify any abnormal thermodynamic parameters and all three simulations converged properly within the specified time frame.

Next, we analysed the flexibility by computing the RMSF and comparing the RMSF of L470P and W209R to the wildtype. The overall flexibility of W209R does not significantly differ from the wildtype. Solely T180 is less flexible due to an additional hydrogen bond to the mutant residue R209. In contrast, L470P is significantly more flexible than the wildtype. In particular the two loop region 23-33 and 42-53 of the hydrolase domain are more mobile. We could further show that L470P exhibits significantly less hydrogen bonds between protein residues and significantly more hydrogen bonds between protein residues and water molecules which might account for the increase in flexibility. In addition, L470P causes an increase in the hydrophilic and hydrophobic solvent accessibility surface area which is most pronounced for the residues F31 and M49 belonging to the flexible loops 23-33 and 42-53. The change in flexibility might impact the interactions with other molecules and result in a lower activity of GCase. As for the sequence-based mutation analysis and structure-based mutation analysis, the MD simulation therefore suggest a malign effect of L470P.

Finally, we clustered similar conformations using the RMSD as distance measure. As expected, structures at the beginning and at the end of the simulations were assigned to different clusters and we could not identify any severe differences between the cluster conformations.

References

<references/>