Computational design of the temperature optimum of an enzyme reaction.

Cold-adapted enzymes are characterized both by a higher catalytic activity at low temperatures and by having their temperature optimum down-shifted, compared to mesophilic orthologs. In several cases, the optimum does not coincide with the onset of protein melting but reflects some other type of inactivation. In the psychrophilic α-amylase from an Antarctic bacterium, the inactivation is thought to originate from a specific enzyme-substrate interaction that breaks around room temperature. Here, we report a computational redesign of this enzyme aimed at shifting its temperature optimum upward. A set of mutations designed to stabilize the enzyme-substrate interaction were predicted by computer simulations of the catalytic reaction at different temperatures. The predictions were verified by kinetic experiments and crystal structures of the redesigned α-amylase, showing that the temperature optimum is indeed markedly shifted upward and that the critical surface loop controlling the temperature dependence approaches the target conformation observed in a mesophilic ortholog.

Structure and Mechanism of a Cold-Adapted Bacterial Lipase.

The structural origin of enzyme cold-adaptation has been the subject of considerable research efforts in recent years. Comparative studies of orthologous mesophilic-psychrophilic enzyme pairs found in nature are an obvious strategy for solving this problem, but they often suffer from relatively low sequence identity of the enzyme pairs. Small bacterial lipases adapted to distinctly different temperatures appear to provide an excellent model system for these types of studies, as they may show a very high degree of sequence conservation. Here, we report the first crystal structures of lipase A from the psychrophilic bacterium Bacillus pumilus, which confirm the high structural similarity to the mesophilic Bacillus subtilis enzyme, as indicated by their 81% sequence identity. We further employ extensive QM/MM calculations to delineate the catalytic reaction path and its energetics. The computational prediction of a rate-limiting deacylation step of the enzymatic ester hydrolysis reaction is verified by stopped-flow experiments, and steady-state kinetics confirms the psychrophilic nature of the B. pumilus enzyme. These results provide a useful benchmark for examining the structural basis of cold-adaptation and should now make it possible to disentangle the effects of the 34 mutations between the two enzymes on catalytic properties and thermal stability.

A synthetic antimicrobial peptidomimetic (LTX 109): stereochemical impact on membrane disruption.

LTX 109 is a synthetic antimicrobial peptidomimetic (SAMP) currently in clinical phase II trials for topical treatment of infections of multiresistant bacterial strains. All possible eight stereoisomers of the peptidomimetic have been synthesized and tested for antimicrobial effect, hemolysis, and hydrophobicity, revealing a strong and unusual dependence on the stereochemistry for a molecule proposed to act on a general membrane mechanism. The three-dimensional structures were assessed using nuclear magnetic resonance spectroscopy (NMR) and molecular dynamics (MD) simulations in aqueous solution and in phospholipid bilayers. The solution structures of the most active stereoisomers are perfectly preorganized for insertion into the membrane, whereas the less active isomers need to pay an energy penalty in order to enter the lipid bilayer. This effect is also found to be reinforced by a significantly improved water solubility of the less active isomers due to a guanidyl-π stacking that helps to solvate the hydrophobic surfaces.

Cold adaptation of enzyme reaction rates.

A major issue for organisms living at extreme temperatures is to preserve both stability and activity of their enzymes. Cold-adapted enzymes generally have a reduced thermal stability, to counteract freezing, and show a lower enthalpy and a more negative entropy of activation compared to mesophilic and thermophilic homologues. Such a balance of thermodynamic activation parameters can make the reaction rate decrease more linearly, rather than exponentially, as the temperature is lowered, but the structural basis for rate optimization toward low working temperatures remains unclear. In order to computationally address this problem, it is clear that reaction simulations rather than standard molecular dynamics calculations are needed. We have thus carried out extensive computer simulations of the keto-enol(ate) isomerization steps in differently adapted citrate synthases to explore the structure-function relationships behind catalytic rate adaptation to different temperatures. The calculations reproduce the absolute rates of the psychrophilic and mesophilic enzymes at 300 K, as well as the lower enthalpy and more negative entropy of activation of the cold-adapted enzyme, where the latter simulation result is obtained from high-precision Arrhenius plots. The overall catalytic effect originates from electrostatic stabilization of the transition state and enolate and the reduction of reorganization free energy. The simulations, however, show psychrophilic, mesophilic, and hyperthermophilic citrate synthases to have increasingly stronger electrostatic stabilization of the transition state, while the energetic penalty in terms of internal protein interactions follows the reverse order with the cold-adapted enzyme having the most favorable energy term. The lower activation enthalpy and more negative activation entropy observed for cold-adapted enzymes are found to be associated with a decreased protein stiffness. The origin of this effect is, however, not localized to the active site but to other regions of the protein structure.

Effects of salt on the kinetics and thermodynamic stability of endonuclease I from Vibrio salmonicida and Vibrio cholerae.

Adaptation to extreme environments affects the stability and catalytic efficiency of enzymes, often endowing them with great industrial potential. We compared the environmental adaptation of the secreted endonuclease I from the cold-adapted marine fish pathogen Vibrio salmonicida (VsEndA) and the human pathogen Vibrio cholerae (VcEndA). Kinetic analysis showed that VsEndA displayed unique halotolerance. It retained a considerable amount of activity from low concentrations to at least 0.6 m NaCl, and was adapted to work at higher salt concentrations than VcEndA by maintaining a low K(m) value and increasing k(cat). In differential scanning calorimetry, salt stabilized both enzymes, but the effect on the calorimetric enthalpy and cooperativity of unfolding was larger for VsEndA, indicating salt dependence. Mutation of DNA binding site residues (VsEndA, Q69N and K71N; VcEndA, N69Q and N71K) affected the kinetic parameters. The VsEndA Q69N mutation also increased the T(m) value, whereas other mutations affected mainly DeltaH(cal). The determined crystal structure of VcEndA N69Q revealed the loss of one hydrogen bond present in native VcEndA, but also the formation of a new hydrogen bond involving residue 69 that could possibly explain the similar T(m) values for native and N69Q-mutated VcEndA. Structural analysis suggested that the stability, catalytic efficiency and salt tolerance of EndA were controlled by small changes in the hydrogen bonding networks and surface electrostatic potential. Our results indicate that endonuclease I adaptation is closely coupled to the conditions of the habitats of natural Vibrio, with VsEndA displaying a remarkable salt tolerance unique amongst the endonucleases characterized so far.

Electrostatic interactions play an essential role in DNA repair and cold-adaptation of uracil DNA glycosylase.

Life has adapted to most environments on earth, including low and high temperature niches. The increased catalytic efficiency and thermoliability observed for enzymes from organisms living in constantly cold regions when compared to their mesophilic and thermophilic cousins are poorly understood at the molecular level. Uracil DNA glycosylase (UNG) from cod (cUNG) catalyzes removal of uracil from DNA with an increased k(cat) and reduced K(m) relative to its warm-active human (hUNG) counterpart. Specific issues related to DNA repair and substrate binding/recognition (K(m)) are here investigated by continuum electrostatics calculations, MD simulations and free energy calculations. Continuum electrostatic calculations reveal that cUNG has surface potentials that are more complementary to the DNA potential at and around the catalytic site when compared to hUNG, indicating improved substrate binding. Comparative MD simulations combined with free energy calculations using the molecular mechanics-Poisson Boltzmann surface area (MM-PBSA) method show that large opposing energies are involved when forming the enzyme-substrate complexes. Furthermore, the binding free energies obtained reveal that the Michaelis-Menten complex is more stable for cUNG, primarily due to enhanced electrostatic properties, suggesting that energetic fine-tuning of electrostatics can be utilized for enzymatic temperature adaptation. Energy decomposition pinpoints the residual determinants responsible for this adaptation.

Optimization of electrostatics as a strategy for cold-adaptation: a case study of cold- and warm-active elastases.

Adaptation to both high and low temperatures requires proteins with special properties. While organisms living at or close to the boiling point of water need to have proteins with increased stability, other properties are required at temperatures close to the freezing point of water. Indeed, it has been shown that enzymes adapted to cold environments are less resistant to heat with a concomitant increased activity as compared to their warm-active counter-parts. Several recent studies have pointed in the direction that electrostatic interactions play a central role in temperature adaptation, and in this study we investigate the role such interactions have in adaptation of elastase from Atlantic salmon and pig. Molecular dynamics (MD) simulations have been used to generate structural ensembles at 283 and 310 K of the psychrophilic and mesophilic elastase, and a total of eight 12 ns simulations have been carried out. Even though the two homologues have a highly similar three-dimensional structure, the location and number of charged amino acids are very different. Based on the simulated structures we find that very few salt-bridges are stable throughout the simulations, and provide little stabilization/destabilization of the proteins as judged by continuum electrostatic calculations. However, the mesophilic elastase is characterized by a greater number of salt-bridges as well as a putative salt-bridge network close to the catalytic site, indicating a higher rigidity of the components involved in the catalytic cycle. In addition, subtle differences are also found in the electrostatic potentials in the vicinity of the catalytic residues, which may explain the increased catalytic efficiency of the cold-adapted elastase.

Free energy calculations show that acidic P1 variants undergo large pKa shifts upon binding to trypsin.

Serine proteinases and their protein inhibitors belong to one of the most comprehensively studied models of protein-protein interactions. It is well established that the narrow trypsin specificity is caused by the presence of a negatively charged aspartate at the specificity pocket. X-ray crystallography as well as association measurements revealed, surprisingly, that BPTI with glutamatic acid as the primary binding (P1) residue was able to bind to trypsin. Previous free energy calculations showed that there was a substantially unfavorable binding free energy associated with accommodation of ionized P1 Glu at the S1-site of trypsin. In this study, the binding of P1 Glu to trypsin has been systematically investigated in terms of the protonation states of P1 Glu and Asp189, the orientation of Gln192, as well as the possible presence of counterions using the linear interaction energy (LIE) approach and the free energy perturbation (FEP) method. Twenty-four conceivable binding arrangements were evaluated and quantitative agreement with experiments is obtained when the P1 Glu binds in its protonated from. The results suggest that P1 Glu is one of the variants of BPTI that inhibit trypsin strongest at low pH, contrary to the specificity profile of trypsin, suggesting a new regulation mechanism of trypsin-like enzymes.

Predicting proteinase specificities from free energy calculations.

The role of the primary binding residue (P1) in complexes between three different subtilases (subtilisin Carlsberg, thermitase and proteinase K) and their canonical protein inhibitor eglin c have been studied by free energy calculations. Based on the crystal structures of eglin c in complex with subtilisin Carlsberg and thermitase, and a homology model of the eglin c-proteinase K complex, a total of 57 mutants have been constructed and docked into their host proteins. The binding free energy was then calculated using molecular dynamics (MD) simulations combined with the linear interaction energy (LIE) method for all complexes differing only in the nature of the amino acid at the P1 position. LIE calculations for 19 different complexes for each subtilase were thus carried out excluding proline. The effects of substitutions at the P1 position on the binding free energies are found to be very large, and positively charged residues (Arg, Lys and His) are particularly deleterious for all three enzymes. The charged variants of the acidic side chains are found to bind more favorably as compared to their protonated states in all three subtilases. Furthermore, hydrophobic amino acids are accommodated most favorably at the S1-site in all three enzymes. Comparison of the three series of binding free energies shows only minor differences in the 19 computed relative binding free energies among these subtilases. This is further reflected in the correlation coefficient between the 23 relative binding free energies obtained, including the possible protonation states of ionizable side chains, but excluding the P1 Pro, for subtilisin Carlsberg versus thermitase (0.95), subtilisin versus proteinase K (0.94) and thermitase versus proteinase K (0.96).

Probing the effect of point mutations at protein-protein interfaces with free energy calculations.

We have studied the effect of point mutations of the primary binding residue (P1) at the protein-protein interface in complexes of chymotrypsin and elastase with the third domain of the turkey ovomucoid inhibitor and in trypsin with the bovine pancreatic trypsin inhibitor, using molecular dynamics simulations combined with the linear interaction energy (LIE) approach. A total of 56 mutants have been constructed and docked into their host proteins. The free energy of binding could be reliably calculated for 52 of these mutants that could unambiguously be fitted into the binding sites. We find that the predicted binding free energies are in very good agreement with experimental data with mean unsigned errors between 0.50 and 1.03 kcal/mol. It is also evident that the standard LIE model used to study small drug-like ligand binding to proteins is not suitable for protein-protein interactions. Three different LIE models were therefore tested for each of the series of protein-protein complexes included, and the best models for each system turn out to be very similar. The difference in parameterization between small drug-like compounds and protein point mutations is attributed to the preorganization of the binding surface. Our results clearly demonstrate the potential of free energy calculations for probing the effect of point mutations at protein-protein interfaces and for exploring the principles of specificity of hot spots at the interface.

Resolving the energy paradox of chaperone/usher-mediated fibre assembly.

Periplasmic chaperone/usher machineries are used for assembly of filamentous adhesion organelles of Gram-negative pathogens in a process that has been suggested to be driven by folding energy. Structures of mutant chaperone-subunit complexes revealed a final folding transition (condensation of the subunit hydrophobic core) on the release of organelle subunit from the chaperone-subunit pre-assembly complex and incorporation into the final fibre structure. However, in view of the large interface between chaperone and subunit in the pre-assembly complex and the reported stability of this complex, it is difficult to understand how final folding could release sufficient energy to drive assembly. In the present paper, we show the X-ray structure for a native chaperone-fibre complex that, together with thermodynamic data, shows that the final folding step is indeed an essential component of the assembly process. We show that completion of the hydrophobic core and incorporation into the fibre results in an exceptionally stable module, whereas the chaperone-subunit pre-assembly complex is greatly destabilized by the high-energy conformation of the bound subunit. This difference in stabilities creates a free energy potential that drives fibre formation.

Increased flexibility as a strategy for cold adaptation: a comparative molecular dynamics study of cold- and warm-active uracil DNA glycosylase.

Uracil DNA glycosylase (UDG) is a DNA repair enzyme in the base excision repair pathway and removes uracil from the DNA strand. Atlantic cod UDG (cUDG), which is a cold-adapted enzyme, has been found to be up to 10 times more catalytically active in the temperature range 15-37 degrees C as compared with the warm-active human counterpart. The increased catalytic activity of cold-adapted enzymes as compared with their mesophilic homologues are partly believed to be caused by an increase in the structural flexibility. However, no direct experimental evidence supports the proposal of increased flexibility of cold-adapted enzymes. We have used molecular dynamics simulations to gain insight into the structural flexibility of UDG. The results from these simulations show that an important loop involved in DNA recognition (the Leu(272) loop) is the most flexible part of the cUDG structure and that the human counterpart has much lower flexibility in the Leu(272) loop. The flexibility in this loop correlates well with the experimental k(cat)/K(m) values. Thus, the data presented here add strong support to the idea that flexibility plays a central role in adaptation to cold environments.

Binding affinity prediction with different force fields: examination of the linear interaction energy method.

A systematic study of the linear interaction energy (LIE) method and the possible dependence of its parameterization on the force field and system (receptor binding site) is reported. We have calculated the binding free energy for nine different ligands in complex with P450cam using three different force fields (Amber95, Gromos87, and OPLS-AA). The results from these LIE calculations using our earlier parameterization give relative free energies of binding that agree remarkably well with the experimental data. However, the absolute energies are too positive for all three force fields, and it is clear that an additional constant term (gamma) is required in this case. Out of five examined LIE models, the same one emerges as the best for all three force fields, and this, in fact, corresponds to our earlier one apart from the addition of the constant gamma, which is almost identical for the three force fields. Thus, the present free energy calculations clearly indicate that the coefficients of the LIE method are independent of the force field used. Their relation to solvation free energies is also demonstrated. The only free parameter of the best model is gamma, which is found to depend on the hydrophobicity of the binding site. We also attempt to quantify the binding site hydrophobicity of four different proteins which shows that the ordering of gamma's for these sites reflects the fraction of hydrophobic surface area.

The primary structure and specificity determining residues displayed by recombinant salmon antibody domains.

Previously, single chain fragments of salmon (Salmo salar L.) immunoglobulin variable regions (scFv) were isolated by reactivity towards trinitrophenyl (TNP) or fluorescein (FITC) using phage display technology. The fine specificity of six scFv clones were analysed by ELISA, while the primary structure was determined by DNA sequencing. In addition, preliminary models of one anti-TNP and one anti-FITC clone were built. Here, a follow-up analysis of the primary and tertiary structure of all six clones is focused on the structural basis for hapten specificity. Tertiary structure was analysed by molecular modelling of the antigen combining site. The analysis shows that reactivity to each hapten is maintained by a number of different combinations of VH, D, JH and VL sequences. Accordingly, various sizes of CDR3 on both the heavy and light chain and CDR2 of IgH may support TNP binding. Due to variability of the antigen combining site each clone probably has a distinct binding affinity. However, a feature common among the four scFv antibodies that recognise TNP is a positively charged Arg in CDR2 of either the heavy or light chain. In the majority of the anti-TNP clones localisation of this side-chain is stabilised by a negatively charged Asp in LCDR1. In addition, a Trp in LCDR3 is conserved in all the anti-TNP clones. Also, the anti-FITC clones display a Trp in the LCDR3, suggesting its participation in binding of FITC as well. In combination with a large aromatic amino acid near the N-terminus of HCDR2 and a positively charged Arg in CDR1, these residues probably determine both specificity and affinity towards the FITC moiety.

Ligand binding affinities from MD simulations.

Simplified free energy calculations based on force field energy estimates of ligand-receptor interactions and thermal conformational sampling have emerged as a useful tool in structure-based ligand design. Here we give an overview of the linear interaction energy (LIE) method for calculating ligand binding free energies from molecular dynamics simulations. A notable feature is that the binding energetics can be predicted by considering only the intermolecular interactions of the ligand in the associated and dissociated states. The approximations behind this approach are examined, and different parametrizations of the model are discussed. LIE-type methods appear particularly promising for computational "lead optimization". Recent applications to protein-protein interactions and ion channel blocking are also discussed.