Surface Charge-charge Interactions Research Articles

Electrostatic interaction optimization improves catalytic rates and thermotolerance on xylanases

Understanding the aspects that contribute to improving proteins’ biochemical properties is of high relevance for protein engineering. Properties such as the catalytic rate, thermal stability, and thermal resistance are crucial for applying enzymes in the industry. Different interactions can influence those biochemical properties of an enzyme. Among them, the surface charge-charge interactions have been a target of particular attention. In this study, we employ the Tanford-Kirkwood solvent accessibility model using the Monte Carlo algorithm (TKSA-MC) to predict possible interactions that could improve stability and catalytic rate of a WT xylanase (XynAWT) and its M6 xylanase (XynAM6) mutant. The modeling prediction indicates that mutating from a lysine in position 99 to a glutamic acid (K99E) favors the native state stabilization in both xylanases. Our lab results showed that mutated xylanases had their thermotolerance and catalytic rate increased, which conferred higher processivity of delignified sugarcane bagasse. The TKSA-MC approach employed here is presented as an efficient computational-based design strategy that can be applied to improve the thermal resistance of enzymes with industrial and biotechnological applications.

Improving the thermostability of a GH97 dextran glucosidase by rational design

This study was aimed at improving the thermostability of dextran glucosidase PspAG97A, a member of the glycoside hydrolase family 97, from Pseudoalteromonas sp. K8. A total of 9 lysine residues were chosen using the TKSA-MC program based on the optimization of surface charge-charge interactions and were mutated to glutamate for shifting the enzyme's isoelectric point off its optimum pH value. Three mutants K75E, K363E and K420E showed enhanced thermostability. The triple mutant, K75E/K363E/K420E, was found to be the best with a 7.3-fold increase in half-life (t1/2) at 33°C compared to that of the wild-type (WT). Most importantly, this mutant showed comparable enzymatic activity to that of the WT protein. Structural modelling demonstrated that increased surface charge-charge interactions and optimization of surface hydrophobic and electrostatic contacts contributed to the improved thermostability displayed by K75E/K363E/K420E.

Substitution of His260 residue alters the thermostability of Pseudoalteromonas carrageenovora arylsulfatase

This study aimed to improve the thermostability of arylsulfatase from Pseudoalteromonas carrageenovora. A library of P. carrageenovora arylsulfatase mutants was constructed by introducing random mutagenesis using error-prone PCR. After screening, two mutants of H260L and D84A/H260L showed enhanced thermal stability than the wild-type predecessor (WT). Site-directed mutagenesis demonstrated that only amino acid residue at Position 260 plays an important role in the thermostability of P. carrageenovora arylsulfatase. Thermal inactivation analysis showed that the half-life (t1/2) values at 55°C for H260L, H260I, H260Q, H260F and H260R were 40.6, 48.4, 30.9, 29.1 and 34.5 min, respectively, while that of WT was 9.1 min. Structure modeling demonstrated that the additional hydrogen bonds and/or optimization of surface charge-charge interactions could be responsible for the increased thermostability imparted by H260L, H260I, H260Q, H260F and H260R.

Genetic and chemical approaches for surface charge engineering of enzymes and their applicability in biocatalysis: A review.

Surface charge engineering has received considerable interest from the scientific and industrial community in the last few decades. Although it was previously hypothesized that the surface charge-charge interactions were not a fundamental force to determine protein folding and stability, many studies today show that surface charge plays a key role determining protein structure and activity. This review aims to (a) highlight the value of surface charged engineering of proteins to improve enzyme stability and activity in aqueous media and in the presence of ionic liquids (ILs) and organic solvents, (b) describe the existing approaches (genetic engineering or chemical modifications) for surface charged engineering, and (c) demonstrate the applicability of these surface charged enzymes in biocatalysis. The review provides a new foundation for the scientific and research community to exploit the surface engineering of protein concept for the development of new enzymes that are more active and stable in the presence of ILs and organic solvents, thereby offering new opportunities for industrial biocatalysis. Furthermore, this review is a useful tool for researchers to decide the best available technology to improve their enzyme system/process.

Alterations of Nonconserved Residues Affect Protein Stability and Folding Dynamics through Charge-Charge Interactions.

Charge-charge interactions play an important role in thermal stability of proteins. We employed an all-atom, native-topology-based model with non-native electrostatics to explore the interplay between folding dynamics and stability of TNfn3 (the third fibronectin type III domain from tenascin-C). Our study elucidates the role of charge-charge interactions in modulating the folding energy landscape. In particular, we found that incorporation of explicit charge-charge interactions in the WT TNfn3 induces energetic frustration due to the presence of residual structure in the unfolded state. Moreover, optimization of the surface charge-charge interactions by altering the evolutionarily nonconserved residues not only increases the thermal stability (in agreement with previous experimental study) but also reduces the formation of residual structure and hence minimizes the energetic frustration along the folding route. We concluded that charge-charge interaction in the rationally designed TNfn3 plays an important role not only in enhancing the stability but also in assisting folding.

Effect of Ionizable Residues on the Folding Energy Landscape of Globular Proteins: Linking Experiment and Computation

Ionizable residues play important role in protein structure, stability and function. In globular proteins, majority of ionizable residues are located on the protein surface. We have previously used computational approach to optimized surface charge-charge interactions in several globular proteins: ubiquitin, the activation domain of human procarboxypeptidase A2 (ADA2), the fibronectin typeIII domain (TnfIII), acylphosphatase (ACP), the N-terminal domain of human U1A protein (U1A), Cdc42 GTPase, Fyn SH3 domain, and cold shock protein CspB(1-3). Biophysical studies have shown that all the designed variants have increased thermodynamic stability. Here we have measured experimentally the folding kinetics of the wild-type and designed variants of four proteins: U1A, Ten, ACP and ADA2. We have also performed native topology-based model simulations that correspond to a funneled energy landscape, but explicitly include non-native charge-charge interactions. Analysis of computer simulations provided molecular details for the experimentally observed changes in the folding rates of charge-charge optimized variants.This work was supported by grants from the National Science Foundation MCB-0110396.

Kinetic consequences of native state optimization of surface‐exposed electrostatic interactions in the Fyn SH3 domain

Optimization of surface exposed charge-charge interactions in the native state has emerged as an effective means to enhance protein stability; but the effect of electrostatic interactions on the kinetics of protein folding is not well understood. To investigate the kinetic consequences of surface charge optimization, we characterized the folding kinetics of a Fyn SH3 domain variant containing five amino acid substitutions that was computationally designed to optimize surface charge-charge interactions. Our results demonstrate that this optimized Fyn SH3 domain is stabilized primarily through an eight-fold acceleration in the folding rate. Analyses of the constituent single amino acid substitutions indicate that the effects of optimization of charge-charge interactions on folding rate are additive. This is in contrast to the trend seen in folded state stability, and suggests that electrostatic interactions are less specific in the transition state compared to the folded state. Simulations of the transition state using a coarse-grained chain model show that native electrostatic contacts are weakly formed, thereby making the transition state conducive to nonspecific, or even nonnative, electrostatic interactions. Because folding from the unfolded state to the folding transition state for small proteins is accompanied by an increase in charge density, nonspecific electrostatic interactions, that is, generic charge density effects can have a significant contribution to the kinetics of protein folding. Thus, the interpretation of the effects of amino acid substitutions at surface charged positions may be complicated and consideration of only native-state interactions may fail to provide an adequate picture.

Computational design of the Fyn SH3 domain with increased stability through optimization of surface charge charge interactions.

Computational design of surface charge-charge interactions has been demonstrated to be an effective way to increase both the thermostability and the stability of proteins. To test the robustness of this approach for proteins with predominantly beta-sheet secondary structure, the chicken isoform of the Fyn SH3 domain was used as a model system. Computational analysis of the optimal distribution of surface charges showed that the increase in favorable energy per substitution begins to level off at five substitutions; hence, the designed Fyn sequence contained four charge reversals at existing charged positions and one introduction of a new charge. Three additional variants were also constructed to explore stepwise contributions of these substitutions to Fyn stability. The thermodynamic stabilities of the variants were experimentally characterized using differential scanning calorimetry and far-UV circular dichroism spectroscopy and are in very good agreement with theoretical predictions from the model. The designed sequence was found to have increased the melting temperature, DeltaT (m) = 12.3 +/- 0.2 degrees C, and stability, DeltaDeltaG(25 degrees C) = 7.1 +/- 2.2 kJ/mol, relative to the wild-type protein. The experimental data suggest that a significant increase in stability can be achieved through a very small number of amino acid substitutions. Consistent with a number of recent studies, the presented results clearly argue for a seminal role of surface charge-charge interactions in determining protein stability and suggest that the optimization of surface interactions can be an attractive strategy to complement algorithms optimizing interactions in the protein core to further enhance protein stability.

Removal of surface charge-charge interactions from ubiquitin leaves the protein folded and very stable.

The contribution of solvent-exposed charged residues to protein stability was evaluated using ubiquitin as a model protein. We combined site-directed mutagenesis and specific chemical modifications to first replace all Arg residues with Lys, followed by carbomylation of Lys-amino groups. Under the conditions in which all carboxylic groups are protonated (at pH 2), the chemically modified protein is folded and very stable (DeltaG = 18 kJ/mol). These results indicate that surface charge-charge interactions are not an essential fundamental force for protein folding and stability.

Removal of surface charge-charge interactions from ubiquitin leaves the protein folded and very stable

Removal of surface charge-charge interactions from ubiquitin leaves the protein folded and very stable

Significant role of electrostatic interactions for stabilization of protein assemblies

Contribution of electrostatic interactions to stability of BPTI orthorhombic, pig-insulin cubic crystals, and horse L ferritin crystals was evaluated with numerical calculation of Poisson-Boltzmann equation based on a dielectric model. The stability of a ferritin molecule (24-mer) composed of 24 subunits was also evaluated. It was found that the surface charge-charge interactions at separation distances (< 5 Å) were insensitive to variations in the ionic strength, and thus stabilized assembled states of the proteins ( i.e., crystalline state and oligomeric state). It was also revealed that the charge density and the packing of the protein crystals were largely responsible for the ionic strength dependence of the crystal stability. The stability of the 5PTI crystalline state with a high charge density drastically increased as the concentration of the solvent ions increased. In contrast, that of the insulin crystal with a low charge density and large solvent region was insensitive to changes in the ionic concentration. The electrostatic interaction between ferritin 24-mers was attributed to two salt bridges mediated by Cd ion. For the stability of the ferritin 24-mer, which is evolutionally designed, the electrostatic stabilization between the subunits was attributed to polar bonds such as buried salt bridges or hydrogen bonds, which occasionally yielded more than 5 kcal/mol and were numerous and very strong compared with the bonds between molecules in the 5PTI and 9INS crystals. By analyzing the atomic charge-charge interactions in detail, it was found that charge pairs separated by less than 3 Å, such as hydrogen bonds, dominantly stabilize the assembled states, and that pairs 3 to 5 Å apart were also important. The stability of the assembled states evaluated by the total EET was determined by the fine balance between the two competing contributions arising from the stabilizing atoms and the destabilizing atoms. Changes of the ASA and hydration free energy were also evaluated in accordance with the process of the subunit assembly. The change of hydration free energy, which was very large ( i.e., ~+ 100 kcal/mol/subunit) and unfavorable for the assembly, was proportional to the electrostatic hydration energy ( i.e., Born energy change in the hydration process). Hydrophobic groups were likely to appear more frequently than hydrophilic groups at the interfaces. This study offers a method which can improve the stability of protein crystals by introducing polar or charged residues that are properly designed to form specific hydrogen bonds or salt bridges between neighboring protein molecules. This method is also applicable to crystallography, because it improves refinement of protein structures in crystals by taking the inter-protein interactions into account.

Long-Range Surface Charge-Charge Interactions in Proteins: Comparison of Experimental Results with Calculations from a Theoretical Method

Long-range coulombic interaction energies between surface-charges in barnase and subtilisin have been determined to provide data for calibrating theoretical methods. The p K a of His18 in barnase can be measured accurately by titrating the fluorescence of Trp94 that is significantly quenched on protonation of His18. The p K a of His64, the active site base of subtilisin, has previously been shown to be measured accurately from the pH dependence of k cat / K m for the hydrolysis of substrates. The titration curves of both histidine residues fit the theoretical equations for the ionization of single groups with great precision; the Hill constants for wild-type and mutant enzymes are all close to 1·0. The coulombic interaction energies of distant charged side-chains with the protonated form of His18 and His64 have been measured from changes in p K a of these residues on mutation of those charged side-chains. The interaction energies between single charges on the surfaces of the proteins at low ionic strength are small, some 0·3-0·5 kcal mol -1 at a distance of 12 Å, and fall gradually with distance to 0·05-0·3 kcal mol -1 at 20 Å. Multiple mutations are frequently additive. Effects are larger in subtilisin than in barnase, possibly related to the degree of solvent exposure of the charge. These data have been used to benchmark the finite-difference method of calculating electrostatic interactions as implemented in the program DelPhi. There is reasonable agreement between the calculated and measured results as a function of both position and ionic strength.