Modeling structure and flexibility of Candida antarctica lipase B in organic solvents
© Trodler and Pleiss; licensee BioMed Central Ltd. 2008
Received: 28 September 2007
Accepted: 06 February 2008
Published: 06 February 2008
The structure and flexibility of Candida antarctica lipase B in water and five different organic solvent models was investigated using multiple molecular dynamics simulations to describe the effect of solvents on structure and dynamics. Interactions of the solvents with the protein and the distribution of water molecules at the protein surface were examined.
The simulated structure was independent of the solvent, and had a low deviation from the crystal structure. However, the hydrophilic surface of CALB in non-polar solvents decreased by 10% in comparison to water, while the hydrophobic surface is slightly increased by 1%. There is a large influence on the flexibility depending on the dielectric constant of the solvent, with a high flexibility in water and a low flexibility in organic solvents. With decreasing dielectric constant, the number of surface bound water molecules significantly increased and a spanning water network with an increasing size was formed.
The reduced flexibility of Candida antarctica lipase B in organic solvents is caused by a spanning water network resulting from less mobile and slowly exchanging water molecules at the protein-surface. The reduced flexibility of Candida antarctica lipase B in organic solvent is not only caused by the interactions between solvent-protein, but mainly by the formation of a spanning water network.
Candida antarctica lipase B (CALB) is an efficient catalyst for hydrolysis in water and esterification in organic solvents . It is used in many industrial applications because of its high enantioselectivity, wide range of substrates, thermal stability, and stability in organic solvents . CALB belongs to the α/β hydrolase fold family with a conserved catalytic triad consisting of Ser, His, and Asp/Glu . The binding pocket for the substrates consists of an acyl binding pocket, a large and a medium binding pocket for the small and large moiety of secondary alcohols, respectively. In contrast to most lipases, CALB has no lid covering the entrance to the active site and shows no interfacial activation .
It has been shown that many enzymes retain activity in organic solvents  and have interesting catalytic properties such as higher thermostability and altered stereoselectivity [6, 5, 7, 8], which was also observed for CALB [9, 10]. As compared to water, organic solvents offer new possibilities in biocatalysis. In organic solvents, enzyme-catalyzed esterifications become feasible, and can be efficiently used due to the high solubility of hydrophobic substrates. Despite many advantages of enzymatic reactions in organic solvents, in most cases the catalytic activity in organic solvents is orders of magnitude lower than in aqueous systems [11–13], because of diffusional limitations, changes in protein flexibility, or destabilization of the enzyme [14, 15]. It has been shown that the enzymatic activity in organic solvents can be correlated with the solvent polarity as indicated by the octanol-water partition coefficient logP . However, it has also been reported that activity might be affected by the solvent without correlation to the logP [16, 17]. Enzymes that are active in organic solvents retain their native structure upon transfer from water to organic solvents . However, it is essential to add small amounts of water to maintain stability and flexibility of enzymes in organic solvent. Thus enzyme-bound water is essential for catalysis and serves as a lubricant for the enzyme . In contrast, fully dry enzymes are inactive and enzymes in organic solvents with high amounts of water show denaturation .
Computer simulations of enzymes in different solvents are a valuable tool to investigate the effect on the structure and dynamics of proteins [20–23]. In most simulations of lipases, organic solvents are implicitly modeled . In simulations with explicit organic solvent models, structural conservation and reduced flexibility in organic solvents as compared to water simulations have already been observed [25–30, 24, 31].
The aim of this work was to get insight in the structure and flexibility of CALB in water and five different organic solvents using multiple molecular dynamics simulations. CALB was selected in this study, because of its industrial relevance and its stability in different organic solvents. Using explicit solvent models and a low amount of protein-bound water molecules allows to analyze the position of single water molecules, their exchange during the simulation, and the effect of molecular properties of the organic solvents.
Structure of CALB
Total and hydrophilic surface of CALB in the crystal structure and averaged over the last 1 ns of each simulation in six solvents. Hydrophilic residues are by negative Eisenberg
total surface [Å2]
hydrophilic surface [Å2]
Flexibility of CALB
Total B-factors (sum of B-factors per residue) of CALB averaged over the last 1 ns of each simulation in six solvents
CALB in solvent
total B-factor [Å2]
5267 ± 396
4385 ± 122
4013 ± 78
3648 ± 215
3318 ± 103
3216 ± 80
Water at the surface
Three simulations with different initial velocity distributions instead of a single trajectory were used to sample the conformational space in the protein-solvent system, because a single trajectory samples only a small fraction of the conformational space than multiple short trajectories [32–34].
The structure of CALB shows a high stability in all solvents and is therefore a useful system to examine the effect of different solvents on structure and flexibility. Multiple MD simulations of each protein-solvent system confirmed that the structures of CALB in different solvent deviated from each other by less than 0.8 Å. This structural difference is within the deviation of 0.6–0.8 Å of the three simulations of the same protein-solvent system. Our observation that the structure of CALB is independent of its environment is supported by the fact that CALB does not undergo conformational transitions  and by a comparison of different crystal structures obtained under different crystallization conditions [3, 35] which show backbone RMSD values below 0.3 Å. Also in most molecular dynamics simulations structures showed no significant changes in different solvents [20, 22, 31] with the exception of Rhizomucor miehei lipase for which a solvent-induced conformational change was observed . In addition, circular dichroism measurements of CALB in different solvents showed that its secondary structure did not change . This is also confirmed by X-ray structures of various serine proteases, crystallized in the presence of small amounts of different organic solvents, which are nearly indistinguishable from their structure in water [37–40]. Flexible and rigid regions of CALB identified in the simulations were similar to regions of high and low B-factors reported in the crystal structure . In contrast to structure, the flexibility is solvent-dependent. In organic solvents, the flexibility of proteins is decreased, which has been confirmed by different experimental techniques such as time-resolved fluorescence anisotropy , ESR , and dielectric relaxation spectroscopy . This was also observed in simulations of lipases  and subtilisin , while no significant differences between water and organic solvents have been observed in simulations of subtilisin .
It is observed that solvents with a lower dielectric constant lead to a decreased protein flexibility as shown by EPR [45, 12], which is in general consistent with the results of our simulations. However, there is one outlier. In ISO the flexibility is higher than expected from its dielectric constant. Interestingly, isopentane is the only solvent in our simulations with one freely rotatable, bond which is not considered in the rigid solvent model. We suppose that a flexible solvent model would be necessary to properly treat the effects of this solvent. It has also been suggested that the size of organic solvent molecules correlates with the protein flexibility , but no correlation was found in our simulations. A further effect of organic solvents in our simulations is a decrease in solvent-accessible surface, especially of the hydrophilic surface. In our simulations, the hydrophilic surface decreased by 600 Å2 from simulations in WAT to CHE, while the hydrophobic surface increased slightly by 50 Å2. It has been suggested that in water polar side chains orient toward the surface, thus increasing the hydrophilic surface and decreasing the polar intra-molecular interactions that mediate the rigidity of the protein , while in organic solvents the surface area is reduced which leads to improved packing and increased stability .
There are in general two types of water molecules observed in organic solvents. The 'inside class' water molecules that are bound in the interior of the protein and can play an important role for active conformation in organic solvents by a hydrogen bond network and the 'contact class' water molecules that are weakly bound to the surface of the enzyme and can be rapidly exchanged by other water molecules . The dynamical properties of surface-bound water molecules differ considerably from the bulk water as shown by X-ray crystallography  and NMR experiments . The residence times of most surface-bound water molecules are between 10 and 100 ps, bound and free water molecules at the surface of a protein are in a dynamic equilibrium . In agreement with these experiments all water molecules at the surface were rapidly exchanged during the simulation time of 2 ns. In correlation to our simulations, where an increased number of less mobile water molecules was observed at higher logP at the surface of CALB, the number of water molecules with high B-factor was decreased by an increasing hydrophobicity of alcohols at lysozyme studied by X-ray . In organic solvents the amount of water molecules in the organic solvent phase is low and therefore the probability for an exchange of bound and structured water at the surface is low. A high rate of exchange of water molecules at the surface, observed in our simulations, might be the reason for an increased flexibility, in agreement to previous observations where the protein mobility increased with an increasing amount of water .
In agreement with experimental results  in the simulations organic solvents strip just a few water molecules from the enzymes surface, while polar solvents strip most water from the surface. This stripping of water from the surface by polar solvents has been already shown in experiments  and in simulations . The solvent dielectric constant correlated with stripping of water molecules in simulations with increasing polarity of the solvent . It was shown in experiments, that desorption is independent of the kind of the protein, increasing with the dielectric constant of the solvent . Like in our simulations of CALB, a spanning water network consisting of several small water clusters was observed in previous simulations [54, 55, 22, 31] and experiments , in which non-polar solvents enhanced the formation of clusters [31, 54]. In agreement to our simulations, the water clusters in a cutinase consisted of 2 to 8 water molecules at a hydration level of 15% (w/w) , depending on the solvent, in the crystal structure of CALB the largest cluster of water molecules with B-factors lower 40 Å2 consists of 14 water molecules at most. The spanning water network resulted by a slow exchange of water molecules at the surface in organic solvents. Polar groups favor direct interactions with water molecules and form hydrogen bonds, while non-polar groups enhance interactions among water molecules and enhance the local structure of neighboring water molecules. The concept of hydrophobic hydration and the freezing of water to clusters around hydrophobic surface was previously suggested  and is supported by the solvent dependent flexibility observed in simulations.
From the results it can be concluded, that the reduced flexibility of CALB in non-polar solvents is not only a consequence of the interaction between organic solvent molecules and the protein, but also due to the interaction with the enzyme-bound water and its exchange on the surface. Despite the higher fluidity of organic solvents, the flexibility of CALB is decreased, because the water exchange at the surface is restricted.
Parametrization of solvent models
The organic solvent molecules of cyclohexane, isopentane, and toluene were parameterized. The geometric parameters were derived by ab initio geometry optimization on the HF/6-31G* level using Gaussian98  in the gas phase. The partial charges were derived by fitting partial charges using the RESP program  of AMBER 7.0  to the electrostatic potential (Additional file 6). For each molecule a periodic solvent box was built in XLEAP (Additional file 7). The boxes were equilibrated by molecular dynamics simulations using AMBER 7.0 and the all-atom AMBER force-field ff99  by pressure coupling, all solvent molecules were treated as rigid. The calculated densities of the boxes in equilibrium were in good agreement with experimental data (Additional file 7). After minimization (500 steps steepest descent followed by 200 steps conjugate gradient) the systems were heated during 30 ps to 300 K using a temperature coupling constant of 0.8 ps at a pressure of 1 bar using a pressure coupling constant of 1.0 ps . Molecular dynamics simulations of the systems were performed for 2 ns, applying the SHAKE algorithm  to constrain the bond lengths. Electrostatic interactions were calculated using Ewald summation , Van der Waals interactions were calculated using a 16 Å cut-off.
The crystal structure of CALB [PDB: 1TCA]  with a resolution of 1.55 Å was taken from the Protein Data Bank as initial structure for the simulations.
pKa values and protonation states of titratable groups Arg, Lys, Asp, Glu, and His were calculated at pH 7 using MEAD  and TITRA . The online tool PCE  of MEAD was used to solve numerically the Poisson-Boltzmann equation using its MULTIFLEX program with a protein internal dielectric constant ε = 20, solvent dielectric constant ε = 80, ionic strength 0.145 M, grid spacing of 1 Å in a cubic box and the PARSE parameters for radii and charges . The REDTI program was used to compute the protonation states . TITRA is based on the Tanford-Kirkwood model, with default parameters and ε = 20 for the protein dielectric constant. The solvent accessible surface area of each residue used in TITRA was calculated by the program acc_run . Both methods resulted in the same protonation states at pH 7. CALB was calculated to be neutral, the same protonation states were used for the simulations in water and in organic solvents, assuming pH memory from the protonation in aqueous solution after lyophilization . In XLEAP of the Amber 7.0 program package hydrogens were added as calculated by TITRA. The CALB crystal structure including 286 crystal water molecules, corresponding to a hydration level of 15.4% (w/w), was solvated in six different solvent boxes using a minimal distance of 14 Å between the box boundary and the protein. The equilibrated boxes of cyclohexane (CHE), isopentane (ISO), and toluene (TOL) were used as parametrized, boxes of TIP3 water (WAT) , methanol (MET)  and chloroform (CL3)  were used as given in the AMBER package.
Molecular dynamics simulations
Multiple molecular dynamics simulations of the protein-solvent systems were performed using the Amber 7 program package  and the all-atom AMBER force field ff99 . The simulations were done in a truncated octahedral box under periodic boundary conditions. Non-bonded interactions were calculated at a cutoff distance of 10 Å. The SHAKE algorithm  was applied to all bonds. The simulations were performed at 300 K and 1 bar using a time step of 1 fs. Temperature and pressure of the system were controlled using a weak coupling to an external heat bath  with a temperature coupling constant of 1.0 ps and a pressure coupling constant of 1.2 ps. The initial structures were energy minimized (500 steepest descent and 50 conjugate gradient) and followed by a simulation at 300 K and 1 bar by restraining the position of all Cα atoms using a harmonic potential. The force constant was gradually decreased every 50 ps from 10 to 5, 1 and 0.1 kcal/mol followed by an unrestrained simulation of 2 ns. Three simulations of each system were performed using different initial random velocity distributions. All snapshots from the resulting trajectories were fitted the backbone atoms to the initial structure. The root mean square deviation of the backbone atoms between each conformer and the initial structure (RMSD) and between all conformers (2D-RMSD) and B-factors were analyzed using the PTRAJ of AMBER 7.0 . The solvent accessible surface area was calculated by DSSP  using a probe radius of 1.4 Å. The protein structures were visualized and the hydrophobicity  was mapped on the surface using PyMol 0.98 . Hydrophilic and hydrophobic residues were identified by their negative or positive hydrophobicity index , respectively.
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