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.     

Core-directed protein design. II. Rescue of a multiply mutated and destabilized variant of ubiquitin.

We have applied the method described in the preceding paper [Finucane, M. D., et al. (1999) Biochemistry 38, 11604-11612], namely, stability-based selection using phage display, to explore the sequence requirements for packing in the hydrophobic core of ubiquitin. In contrast to the parent protein, which was a structurally compromised mutant, the selected variants could be overexpressed and purified in yields for structural studies. In particular, CD and NMR measurements showed that the selectants folded correctly to stable native-like structures. These points demonstrate the utility of our core-directed method for stabilizing and redesigning proteins. In addition and in contrast to foregoing studies on other proteins, which suggest that hydrophobic cores permit substitutions provided that hydrophobicity and core volumes are generally conserved, we find that the core of ubiquitin is surprisingly intolerant of amino acid substitutions; variants that survived our selection showed a clear consensus for the wild-type sequence. It is probable that our results differed from those from other groups for two reasons. First, ubiquitin may be unusual in that it has strict sequence requirements for its structure and stability. We discuss this result in light of sequence conservation in the eukaryotic ubiquitins and proteins of the ubiquitin structural superfamily. Second, our mutants were selected solely on the basis of stability, in contrast to the other studies that rely on function-based selection. The latter may lead to proteins that are more plastic and tolerant of substitutions.     

A new method to model membrane protein structure based on silent amino acid substitutions.

The importance of accurately modeling membrane proteins cannot be overstated, in lieu of the difficulties in solving their structures experimentally. Often, however, modeling procedures (e.g., global searching molecular dynamics) generate several possible candidates rather then pointing to a single model. Herein we present a new approach to select among candidate models based on the general hypothesis that silent amino acid substitutions, present in variants identified from evolutionary conservation data or mutagenesis analysis, do not affect the stability of a native structure but may destabilize the non-native structures also found. The proof of this hypothesis has been tested on the alpha-helical transmembrane domains of two homodimers, human glycophorin A and human CD3-zeta, a component of the T-cell receptor. For both proteins, only one structure was identified using all the variants. For glycophorin A, this structure is virtually identical to the structure determined experimentally by NMR. We present a model for the transmembrane domain of CD3-zeta that is consistent with predictions based on mutagenesis, homology modeling, and the presence of a disulfide bond. Our experiments suggest that this method allows the prediction of transmembrane domain structure based only on widely available evolutionary conservation data.     

A single disulfide bond restores thermodynamic and proteolytic stability to an extensively mutated protein

The potential for engineering stable proteins with multiple amino acid substitutions was explored. Eleven lysine, five methionine, two tryptophan, one glycine, and three threonine substitutions were simultaneously made in barley chymotrypsin inhibitor-2 (CI-2) to substantially improve the essential amino acid content of the protein. These substitutions were chosen based on the three-dimensional structure of CI-2 and an alignment of homologous sequences. The initial engineered protein folded into a wild-type-like structure, but had a free energy of unfolding of only 2.2 kcal/mol, considerably less than the wild-type value of 7.5 kcal/mol. Restoration of the lysine mutation at position 67 to the wild-type arginine increased the free energy of unfolding to 3.1 kcal/mol. Subsequent cysteine substitutions at positions 22 and 82 resulted in disulfide bond formation and a protein with nearly wild-type thermodynamic stability (7.0 kcal/mol). None of the engineered proteins retained inhibitory activity against chymotrypsin or elastase, and all had substantially reduced inhibitory activity against subtilisin. The proteolytic stabilities of the proteins correlated with their thermodynamic stabilities. Reduction of the disulfide bond resulted in substantial loss of both thermodynamic and proteolytic stabilities, confirming that the disulfide bond, and not merely the cysteine substitutions, was responsible for the increased stability. We conclude that it is possible to replace over a third of the residues in CI-2 with minimal disruption of stability and structural integrity.     

Thermodynamic consequences of burial of polar and non-polar amino acid residues in the protein interior

Effects of amino acid substitutions at four fully buried sites of the ubiquitin molecule on the thermodynamic parameters (enthalpy, Gibbs energy) of unfolding were evaluated experimentally using differential scanning calorimetry. The same set of substitutions has been incorporated at each of four sites. These substitutions have been designed to perturb packing (van der Waals) interactions, hydration, and/or hydrogen bonding. From the analysis of the thermodynamic parameters for these ubiquitin variants we conclude that: (i) packing of non-polar groups in the protein interior is favorable and is largely defined by a favorable enthalpy of van der Waals interactions. The removal of one methylene group from the protein interior will destabilize a protein by approximately 5 kJ/mol, and will decrease the enthalpy of a protein by 12 kJ/mol. (ii) Burial of polar groups in the non-polar interior of a protein is highly destabilizing, and the degree of destabilization depends on the relative polarity of this group. For example, burial of Thr side-chain in the non-polar interior will be less destabilizing than burial of Asn side-chain. This decrease in stability is defined by a large enthalpy of dehydration of polar groups upon burial. (iii) The destabilizing effect of dehydration of polar groups upon burial can be compensated if these buried polar groups form hydrogen bonding. The enthalpy of this hydrogen bonding will compensate for the unfavorable dehydration energy and as a result the effect will be energetically neutral or even slightly stabilizing.     

Contribution of the 30/36 hydrophobic contact at the C-terminus of the alpha-helix to the stability of the ubiquitin molecule

The contribution of the hydrophobic contact in the C-capping motif of the alpha-helix to the thermodynamic stability of the ubiquitin molecule has been analyzed. For this, 16 variants of ubiquitin containing the full combinatorial set of four nonpolar residues Val, Ile, Leu, and Phe at C4 (Ile30) and C' ' (Ile36) positions were generated. The secondary structure content as estimated using far-UV circular dichroism (CD) spectroscopy of all but Phe variants at position 30 did not show notable changes upon substitutions. The thermodynamic stability of these ubiquitin variants was measured using differential scanning calorimetry, and it was shown that all variants have lower stability as measured by decreases in the Gibbs energy. Since in some cases the decrease in stability was so dramatic that it rendered an unfolded protein, it was therefore concluded that, despite apparent preservation of the secondary structure, the 30/36 hydrophobic contact is essential for the stability of the ubiquitin molecule. The decrease in the Gibbs energy in many cases was found to be accompanied by a large (up to 25%) decrease in the enthalpy of unfolding, particularly significant in the variants containing Ile to Leu substitutions. This decrease in enthalpy of unfolding is proposed to be primarily the result of the perturbed packing interactions in the native state of the Ile --> Leu variants. The analysis of these data and comparison with effects of similar amino acid substitutions on the stability of other model systems suggest that Ile --> Leu substitutions cannot be isoenergetic at the buried site.     

Structure-based prediction of the effects of a missense variant on protein stability

Predicting the effects of amino acid substitutions on protein stability provides invaluable information for protein design, the assignment of biological function, and for understanding disease-associated variations. To understand the effects of substitutions, computational models are preferred to time-consuming and expensive experimental methods. Several methods have been proposed for this task including machine learning-based approaches. However, models trained using limited data have performance problems and many model parameters tend to be over-fitted. To decrease the number of model parameters and to improve the generalization potential, we calculated the amino acid contact energy change for point variations using a structure-based coarse-grained model. Based on the structural properties including contact energy (CE) and further physicochemical properties of the amino acids as input features, we developed two support vector machine classifiers. M47 predicted the stability of variant proteins with an accuracy of 87 % and a Matthews correlation coefficient of 0.68 for a large dataset of 1925 variants, whereas M8 performed better when a relatively small dataset of 388 variants was used for 20-fold cross-validation. The performance of the M47 classifier on all six tested contingency table evaluation parameters is better than that of existing machine learning-based models or energy function-based protein stability classifiers.     

Directing noble metal ion chemistry within a designed ferritin protein

Human H ferritin (HuHF) assembles from 24 four-helix bundles to form an approximately 500 kDa protein with an 8 nm internal cavity. HuHF provides a useful model for studying the transport of metal ions in solution to buried reaction sites in proteins. In this study, HuHF was redesigned to facilitate noble metal ion (Au(3+), Ag(+)) binding, reduction, and nanoparticle formation within the cavity. Computationally determined amino acid substitutions were targeted at four external and four internal surface sites. A variant with a total of 96 cysteines and histidines removed from the exterior surface and 96 non-native cysteines added to the interior surface retained wild-type stability and structure, as confirmed by X-ray crystallography, and promoted the formation of silver or gold nanoparticles within the protein cavity. Crystallographic studies with HuHF variants provide insight into how ferritins control access of metal ions to interior residues that perform chemistry.     

A thermodynamic model of protein structure evolution explains empirical amino acid substitution matrices

Proteins evolve under a myriad of biophysical selection pressures that collectively control the patterns of amino acid substitutions. These evolutionary pressures are sufficiently consistent over time and across protein families to produce substitution patterns, summarized in global amino acid substitution matrices such as BLOSUM, JTT, WAG, and LG, which can be used to successfully detect homologs, infer phylogenies, and reconstruct ancestral sequences. Although the factors that govern the variation of amino acid substitution rates have received much attention, the influence of thermodynamic stability constraints remains unresolved. Here we develop a simple model to calculate amino acid substitution matrices from evolutionary dynamics controlled by a fitness function that reports on the thermodynamic effects of amino acid mutations in protein structures. This hybrid biophysical and evolutionary model accounts for nucleotide transition/transversion rate bias, multi‐nucleotide codon changes, the number of codons per amino acid, and thermodynamic protein stability. We find that our theoretical model accurately recapitulates the complex yet universal pattern observed in common global amino acid substitution matrices used in phylogenetics. These results suggest that selection for thermodynamically stable proteins, coupled with nucleotide mutation bias filtered by the structure of the genetic code, is the primary driver behind the global amino acid substitution patterns observed in proteins throughout the tree of life.     

mRNA sequence predictions from homologous protein sequences

A model has been developed that permits the prediction of mRNA nucleic acid sequence from the sequences of the translated proteins. The model relies on the information obtained from the comparison of protein sequences in related species to reduce the number of possible codons for those amino acids where mutations are observed. The predictions so obtained have been tested by applying the model to proteins whose mRNA sequences are known. The model's predictions have been found to be 100% accurate if three or more different amino acids are known at a given position and if the protein sequences are restricted to relatively closely related species (within the same class). The use of this model may permit a reduction of the mRNA sequence degeneracy and therefore be helpful in the synthesis of cDNA probes or for the prediction of restriction endonuclease sites. Computer programs have been developed to ease the use of the model.     

Role of the charge-charge interactions in defining stability and halophilicity of the CspB proteins

Charge-charge interactions on the surface of native proteins are important for protein stability and can be computationally redesigned in a rational way to modulate protein stability. Such computational effort led to an engineered protein, CspB-TB that has the same core as the mesophilic cold shock protein CspB-Bs from Bacillus subtilis, but optimized distribution of charge-charge interactions on the surface. The CspB-TB protein shows an increase in the transition temperature by 20 degrees C relative to the unfolding temperature of CspB-Bs. The CspB-TB and CspB-Bs protein pair offers a unique opportunity to further explore the energetics of charge-charge interactions as the substitutions at the same sequence positions are done in largely similar structural but different electrostatic environments. In particular we addressed two questions. What is the contribution of charge-charge interactions in the unfolded state to the protein stability and how amino acid substitutions modulate the effect of increase in ionic strength on protein stability (i.e. protein halophilicity). To this end, we experimentally measured the stabilities of over 100 variants of CspB-TB and CspB-Bs proteins with substitutions at charged residues. We also performed computational modeling of these protein variants. Analysis of the experimental and computational data allowed us to conclude that the charge-charge interactions in the unfolded state of two model proteins CspB-Bs and CspB-TB are not very significant and computational models that are based only on the native state structure can adequately, i.e. qualitatively (stabilizing versus destabilizing) and semi-quantitatively (relative rank order), predict the effects of surface charge neutralization or reversal on protein stability. We also show that the effect of ionic strength on protein stability (protein halophilicity) appears to be mainly due to the screening of the long-range charge-charge interactions.     

Electrostatics significantly affect the stability of designed homeodomain variants

The role of electrostatic interactions in determining the stability of designed proteins was studied by constructing and analyzing a set of designed variants of the Drosophila engrailed homeodomain. Computational redesign of 29 surface positions results in a 25-fold mutant with moderate stability, similar to the wild-type protein. Incorporating helix dipole and N-capping considerations into the design algorithm by restricting amino acid composition at the helix termini and N-capping positions yields a ninefold mutant of the initial design (a 23-fold mutant of wild-type) that is over 3 kcal mol(-1) more stable than the protein resulting from the unbiased design. Four additional proteins were constructed and analyzed to isolate the effects of helix dipole and N-capping interactions in each helix. Based on the results of urea-denaturation experiments and calculations using the finite difference Poisson-Boltzmann method, both classes of interaction are found to increase the stability of the designed proteins significantly. The simple electrostatic model used in the optimization of rotamers by iterative techniques (ORBIT) force-field, which is similar to the electrostatic models used in other protein design force-fields, is unable to predict the experimentally determined stabilities of the designed variants. The helix dipole and N-capping restrictions provide a simple but effective method to incorporate two types of electrostatic interactions that impact protein stability significantly.     

Are the same or different amino acid residues responsible for correct and incorrect protein folding?

It has been shown for 20 proteins that amino acid residues included into the protein folding nucleus, determined experimentally, are often involved in the theoretically determined amyloidogenic fragments. For 18 proteins, Φ-values indicative of the extent of residue involvement into the folding nucleus are on average higher for amino acid residues within amyloidogenic regions. Amyloidogenic fragments were predicted for 20 proteins by two methods chosen from four on the basis of comparison of prediction of amyloidogenic regions known from experimental data. Since theoretical folding nuclei are detected by the protein three-dimensional structure and amyloidogenic regions by the protein chain primary structure, the detected regularity makes possible predictions of folding nucleation sites on the basis of amino acid sequence.     

Effects of charge-to-alanine substitutions on the stability of ribosomal protein L30e from Thermococcus celer

The ability to rationally engineer a protein with altered stability depends upon the detailed understanding of the role of noncovalent interactions in defining thermodynamic properties of proteins. In this paper, we used T. celer L30e as a model to address the question of the role of charge-charge interactions in defining the stability of this protein. A total of 26 single-site charge-to-alanine variants of this protein were generated, and the stability of these proteins was determined using thermal- and denaturant-induced unfolding. It was found that, although L30e is isolated from a thermophilic organism and is highly thermostable, some of the substitutions lead to a further increase in the transition temperature. Analysis of the effects of high ionic strength on the stabilities of L30e variants shows that the long-range charge-charge interactions are as important as the short-range (salt bridge) interactions. The changes in stabilities of the T. celer L30e protein variants were compared with the changes in the energy of charge-charge interactions calculated using different computational models. It was found that there is a good qualitative agreement between experimental and calculated data: for 70-80% (19-21 of 26, confidence p < 0.003) of the variants, computational models predict correctly the sign of the stability changes. In particular, computational models identify correctly those charged amino acid residue substitutions of which led to enhancement in thermostability. Thus, optimization of the charge-charge interactions might be a useful approach for the rational increase in protein stability.     

Structural insights into the evolution of a non-biological protein: importance of surface residues in protein fold optimization

Phylogenetic profiling of amino acid substitution patterns in proteins has led many to conclude that most structural information is carried by interior core residues that are solvent inaccessible. This conclusion is based on the observation that buried residues generally tolerate only conserved sequence changes, while surface residues allow more diverse chemical substitutions. This notion is now changing as it has become apparent that both core and surface residues play important roles in protein folding and stability. Unfortunately, the ability to identify specific mutations that will lead to enhanced stability remains a challenging problem. Here we discuss two mutations that emerged from an in vitro selection experiment designed to improve the folding stability of a non-biological ATP binding protein. These mutations alter two solvent accessible residues, and dramatically enhance the expression, solubility, thermal stability, and ligand binding affinity of the protein. The significance of both mutations was investigated individually and together, and the X-ray crystal structures of the parent sequence and double mutant protein were solved to a resolution limit of 2.8 and 1.65 A, respectively. Comparative structural analysis of the evolved protein to proteins found in nature reveals that our non-biological protein evolved certain structural features shared by many thermophilic proteins. This experimental result suggests that protein fold optimization by in vitro selection offers a viable approach to generating stable variants of many naturally occurring proteins whose structures and functions are otherwise difficult to study.     

Globular protein stability: aspects of interest in protein turnover

The conformational stability of globular proteins is remarkably low. Under physiological conditions, the native globular conformation is only from 5 to 15 kcal/mole more stable than unfolded conformations. In addition, small changes in the structure of a protein such as removing one terminal residue or cleaving a single peptide bond frequently lead to a substantial decrease in the stability. Likewise, single substitutions in the amino acid sequence can increase or decrease the stability by several kilocalories per mole. The low conformational stability of globular proteins and the sensitivity to small changes in structure suggest a possible role for conformational stability in the intracellular degradation of proteins. Several lines of evidence from in vivo studies of protein degradation are consistent with this idea.     

Cumulative site-directed charge-change replacements in bacteriophage T4 lysozyme suggest that long-range electrostatic interactions contribute little to protein stability

Bacteriophage T4 lysozyme is a basic molecule with an isoelectric point above 9.0, and an excess of nine positive charges at neutral pH. It might be expected that it would be energetically costly to bring these out-of-balance charges from the extended, unfolded, form of the protein into the compact folded state. To determine the contribution of such long-range electrostatic interactions to the stability of the protein, five positively charged surface residues, Lys16, Arg119, Lys135, Lys147 and Arg154, were individually replaced with glutamic acid. Eight selected double, triple and quadruple mutants were also constructed so as to sequentially reduce the out-of-balance formal charge on the molecule from +9 to +1 units. Each of the five single variant proteins was crystallized and high-resolution X-ray analysis confirmed that each mutant structure was, in general, very similar to the wild-type. In the case of R154E, however, the Arg154 to Glu replacement caused a rearrangement in which Asp127 replaced Glu128 as the capping residue of a nearby alpha-helix. The thermal stabilities of all 13 variant proteins were found to be fairly similar, ranging from 0.5 kcal/mol more stable than wild-type to 1.7 kcal/mol less stable than wild-type. In the case of the five single charge-change variants, for which the structures were determined, the changes in stability can be rationalized in terms of changes in local interactions at the site of the replacement. There is no evidence that the reduction in the out-of-balance charge on the molecule increases the stability of the folded relative to the unfolded form, either at pH 2.8 or at pH 5.3. This indicates that long-range electrostatic interactions between the substituted amino acid residues and other charged groups on the surface of the molecule are weak or non-existent. Furthermore, the relative stabilities of the multiple charge replacement mutant proteins were found to be almost exactly equal to the sums of the relative stabilities of the constituent single mutant proteins. This also clearly indicates that the electrostatic interactions between the replaced charges are negligibly small. The activities of the charge-change mutant lysozymes, as measured by the rate of hydrolysis of cell wall suspensions, are essentially equal to that of the wild-type lysozyme, but on a lysoplate assay the mutant enzymes appear to have higher activity.(ABSTRACT TRUNCATED AT 400 WORDS)     

Prediction of the activity and stability effects of site-directed mutagenesis on a protein core.

When theoretical methods are used to predict the properties of a given system, such as the effects of the substitution of a specific amino acid on the activity or stability of a protein as a whole, the accuracy of the prediction is directly dependent on the validity of the underlying model. A common error, however, is to attempt to improve a basically crude model by performing one aspect of the calculation in a rigorous manner. The accuracy of the model as a whole will remain limited by the crudest approximation or weakest assumption. To demonstrate the principle that nothing can be gained by performing extensive calculations using a basically crude underlying model we compare the predictive power of three models in relation to activity and stability data for 78 triple-site sequence variants of the lambda-repressor protein. This system has recently been analysed in terms of a conceptionally simple, but computationally elaborate model for the prediction of the energy of a protein in which amino acid residues in the core of the protein have been mutated. We show that comparable, if not better agreement with the experimental data can be reached using either of two much simpler models, based on straightforward structural considerations, which do not require elaborate calculations on a computer.     

Gene synthesis, expression, structures, and functional activities of site-specific mutants of ubiquitin

To study the structure and function of ubiquitin we have chemically synthesized a ubiquitin gene that encodes the amino acid sequence of animal ubiquitin, inserting a series of restriction enzyme sites that divide the gene into eight "mutagenesis modules." A series of site-specific mutations were constructed to selectively perturb various regions of the molecule. The mutant genes were expressed in a large quantity of Escherichia coli, and the modified proteins were purified. To determine the structural effects of the amino acid substitutions, the solution structure of ubiquitin was investigated by two-dimensional NMR and each of the mutant proteins were screened for structural perturbations. With one exception, virtually no changes were seen other than at the point of mutation. Functional studies of the mutant proteins with the ubiquitin-activating enzyme E1 and in the reticulocyte protein degradation assay were used to identify regions of the molecule important to ubiquitin's activity in intracellular proteolysis.     

Accuracy of protein flexibility predictions

Protein structural flexibility is important for catalysis, binding, and allostery. Flexibility has been predicted from amino acid sequence with a sliding window averaging technique and applied primarily to epitope search. New prediction parameters were derived from 92 refined protein structures in an unbiased selection of the Protein Data Bank by developing further the method of Karplus and Schulz (Naturwissenschaften 72:212–213, 1985). The accuracy of four flexibility prediction techniques was studied by comparing atomic temperature factors of known three-dimensional protein structures to predictions by using correlation coefficients. The size of the prediction window was optimized for each method. Predictions made with our new parameters, using an optimized window size of 9 residues in the prediction window, were giving the best results. The difference from another previously used technique was small, whereas two other methods were much poorer. Applicability of the predictions was also tested by searching for known epitopes from amino acid sequences. The best techniques predicted correctly 20 of 31 continuous epitopes in seven proteins. Flexibility parameters have previously been used for calculating protein average flexibility indices which are inversely correlated to protein stability. Indices with the new parameters showed better correlation to protein stability than those used previously; furthermore they had relationship even when the old parameters failed. © 1994 Wiley-Liss, Inc.