Differences in backbone dynamics of two homologous bacterial albumin-binding modules: implications for binding specificity and bacterial adaptation

The Relationship between Albumin-Binding Capacity of Recombinant Polypeptide and Changes in the Structure of Albumin-Binding Domain

Many bacteria express surface proteins interacting with human serum albumin (HSA). One of these proteins, PAB from anaerobic bacteria, contains an albumin-binding domain consisting of 45 amino acid residues known as GA domain. GA domains are also found in G proteins isolated from human streptococcal strains (groups C and G) and of albumin-binding protein isolated from group G streptococcal strains of animal origin. The GA domain is a left-handed three-helix bundle structure in which amino acid residues of the second and third helixes are involved in albumin binding. We studied the relationship between HSA-binding activity of the recombinant polypeptide isolated from group G streptococcus of animal origin and structure of the GA domain is studied. Structural changes in GA domain significantly attenuated HAS-binding capacity of the recombinant polypeptide. Hence, affinity HSA-binding polypeptide depends on stability of GA domain structure.

Effect of interactions with the chaperonin cavity on protein folding and misfolding

Recent experimental and computational results have suggested that attractive interactions between a chaperonin and an enclosed substrate can have an important effect on the protein folding rate: it appears that folding may even be slower inside the cavity than under unconfined conditions, in contrast to what we would expect from excluded volume effects on the unfolded state. Here we examine systematically the dependence of the protein stability and folding rate on the strength of such attractive interactions between the chaperonin and substrate, by using molecular simulations of model protein systems in an idealised attractive cavity. Interestingly, we find a maximum in stability, and a rate which indeed slows down at high attraction strengths. We have developed a simple phenomenological model which can explain the variations in folding rate and stability due to differing effects on the free energies of the unfolded state, folded state, and transition state; changes in the diffusion coefficient along the folding coordinate are relatively small, at least for our simplified model. In order to investigate a possible role for these attractive interactions in folding, we have studied a recently developed model for misfolding in multidomain proteins. We find that, while encapsulation in repulsive cavities greatly increases the fraction of misfolded protein, sufficiently strong attractive protein-cavity interactions can strongly reduce the fraction of proteins reaching misfolded traps.

An artificially evolved albumin binding module facilitates chemical shift epitope mapping of GA domain interactions with phylogenetically diverse albumins

Protein G-related albumin-binding (GA) modules occur on the surface of numerous Gram-positive bacterial pathogens and their presence may promote bacterial growth and virulence in mammalian hosts. We recently used phage display selection to evolve a GA domain, PSD-1 (phage selected domain-1), which tightly bound phylogenetically diverse albumins. With respect to PSD-1's broad albumin binding specificity, it remained unclear how the evolved binding epitope compared to those of naturally occurring GA domains and whether PSD-1's binding mode was the same for different albumins. We investigate these questions here using chemical shift perturbation measurements of PSD-1 with rabbit serum albumin (RSA) and human serum albumin (HSA) and put the results in the context of previous work on structure and dynamics of GA domains. Combined, these data provide insights into the requirements for broad binding specificity in GA-albumin interactions. Moreover, we note that using the phage-optimized PSD-1 protein significantly diminishes the effects of exchange broadening at the binding interface between GA modules and albumin, presumably through stabilization of a ligand-bound conformation. The employment of artificially evolved domains may be generally useful in NMR structural studies of other protein-protein complexes.

Ab initio folding of albumin binding domain from all-atom molecular dynamics simulation

Ab initio folding with all-atom model remains to be a difficult task even for small proteins. In this report, we conducted an accumulated 24 mus simulations on the wild type and two mutants of albumin binding domain (ABD) using the AMBER FF03 all-atom force field and a generalized-Born solvation model. Folding events have been observed in multiple trajectories, and the best folded structures achieved root-mean-square deviation (RMSD) of 2.0 A. The folding of this three-helix bundle protein followed a diffusion-collision process, where substantial formation of the individual helices was critical and preceded the global packing. Owing to the difference in the intrinsic helicity, helix I formed faster than the other two helices. The order of the formation of helices II and III varied in different trajectories, indicating heterogeneity of the folding process. The slightly shifted boundaries of the helical segments had direct impact on the global packing, suggesting room for improvement on the simulation force field and solvation model.

On the characterization of protein native state ensembles

Describing and understanding the biological function of a protein requires a detailed structural and thermodynamic description of the protein's native state ensemble. Obtaining such a description often involves characterizing equilibrium fluctuations that occur beyond the nanosecond timescale. Capturing such fluctuations remains nontrivial even for very long molecular dynamics and Monte Carlo simulations. We propose a novel multiscale computational method to exhaustively characterize, in atomistic detail, the protein conformations constituting the native state with no inherent timescale limitations. Applications of this method to proteins of various folds and sizes show that thermodynamic observables measured as averages over the native state ensembles obtained by the method agree remarkably well with nuclear magnetic resonance data that span multiple timescales. By characterizing equilibrium fluctuations at atomistic detail over a broad range of timescales, from picoseconds to milliseconds, our method offers to complement current simulation techniques and wet-lab experiments and can impact our understanding and description of the relationship between protein flexibility and function.

Structure, Dynamics, and Stability Variation in Bacterial Albumin Binding Modules: Implications for Species Specificity,

Protein G-related albumin-binding (GA) modules are frequently expressed on the surfaces of bacterial cells. The limited amino acid sequence variation among GA modules results in structural and functional differences with possible implications for bacterial pathogenesis and host specificity. In particular, the streptococcal G148-GA3 and F. magna ALB8-GA albumin-binding domains exhibit a degree of structural and dynamic diversity that may account for their varied affinities for different species of albumin. To explore the impact of GA module polymorphisms on albumin binding and specificity, we recently used offset recombinant PCR to shuffle seven artificially constructed representatives of the GA sequence space and scan the phage-displayed recombinant domains for mutations that supported binding to the phylogenetically distinct human and guinea pig serum albumins (HSA and GPSA) (Rozak et al. (2006) Biochemistry 45, 3263-3271). Surprisingly, phage selection revealed an overwhelming preference for a single recombinant domain (PSD-1, phage-selected domain-1) regardless of whether the phages were enriched for their abilities to bind one or both of these albumins. We describe here the NMR-derived structure, dynamics, and stability of unbound PSD-1. Our results demonstrate that increased flexibility is not a requirement for broadened specificity, as had been suggested earlier (Johansson et al. (2002) J. Mol. Biol. 316, 1083-1099), because PSD-1 binds the phylogenetically diverse HSA and GPSA even more tightly than G148-GA3 but is less flexible. The structural basis for albumin-binding specificity is analyzed in light of these new results.

Practical applications of high-affinity, albumin-binding proteins from a group G streptococcal isolate

Binding proteins that have high affinities for mammalian plasma proteins that are expressed on the surface of bacteria have proven valuable for the purification and detection of several biologically important molecules from human and animal plasma or serum. In this study, we have isolated a high affinity albumin-binding molecule from a group G streptococcal isolate of bovine origin and have demonstrated that the isolated protein can be biotinylated without loss of binding activity and can be used as a tracer for quantification of human serum albumin (HSA). The binding protein can be immobilized and used as a selective capture reagent in a competitive ELISA format using a biotinylated HSA tracer. In this assay format, the sensitivity of detection for 50% inhibition of binding of HSA was less than 1 microg/ml. When attached to the bacterial surface, this binding protein can be used to deplete albumin from human plasma, as analyzed by surface-enhanced laser desorption ionization time of flight mass spectrometry.

Using offset recombinant polymerase chain reaction to identify functional determinants in a common family of bacterial albumin binding domains

The 46 amino acid GA albumin binding module is a putative virulence factor that has been identified in 16 domains from four bacterial species. Aside from their possible effects on pathogenicity and host specificity, the natural genotypic and phenotypic variations that exist among members of this module offer unique opportunities for researchers to identify and explore functional determinants within the well-defined sequence space. We used a recently developed in vitro recombination technique, known as offset recombinant PCR, to shuffle seven homologues that encode a broad range of natural GA polymorphisms. Phage display and selection were applied to probe the recombinant library for members that showed simultaneous improvements to human and guinea pig serum albumin binding. Thermodynamic data for the most common phage-selected mutant suggest that domain-stabilizing mutations substantially improved GA binding for both species of albumin.

G148–GA3: A streptococcal virulence module with atypical thermodynamics of folding optimally binds human serum albumin at physiological temperatures

The third albumin binding domain of streptococcal protein G strain 148 (G148-GA3) belongs to a novel class of prokaryotic albumin binding modules that is thought to support virulence in several bacterial species. Here, we characterize G148-GA3 folding and albumin binding by using differential scanning calorimetry and isothermal titration calorimetry to obtain the most complete set of thermodynamic state functions for any member of this medically significant module. When buffered at pH 7.0 the 46-amino acid alpha-helical domain melts at 72 degrees C and exhibits marginal stability (15 kJ/mol) at 37 degrees C. G148-GA3 unfolding is characterized by small contributions to entropy from non-hydrophobic forces and a low DeltaCp (1.1 kJ/(deg mol)). Isothermal titration calorimetry reveals that the domain has evolved to optimally bind human serum albumin near 37 degrees C with a binding constant of 1.4 x 10 7 M(-1). Analysis of G148-GA3 thermodynamics suggests that the domain experiences atypically small per residue changes in structural dynamics and heat capacity while transiting between folded and unfolded states.

Crystal Structure and Biological Implications of a Bacterial Albumin Binding Module in Complex with Human Serum Albumin

Many bactericide species express surface proteins that interact with human serum albumin (HSA). Protein PAB from the anaerobic bacterium Finegoldia magna (formerly Peptostreptococcus magnus) represents one of these proteins. Protein PAB contains a domain of 53 amino acid residues known as the GA module. GA homologs are also found in protein G of group C and G streptococci. Here we report the crystal structure of HSA in complex with the GA module of protein PAB. The model of the complex was refined to a resolution of 2.7 A and reveals a novel binding epitope located in domain II of the albumin molecule. The GA module is composed of a left-handed three-helix bundle, and residues from the second helix and the loops surrounding it were found to be involved in HSA binding. Furthermore, the presence of HSA-bound fatty acids seems to influence HSA-GA complex formation. F. magna has a much more restricted host specificity compared with C and G streptococci, which is also reflected in the binding of different animal albumins by proteins PAB and G. The structure of the HSA-GA complex offers a molecular explanation to this unusually clear example of bacterial adaptation.

Hydrophobic core fluidity of homologous protein domains: relation of side-chain dynamics to core composition and packing

The side-chain dynamics of methyl groups in two structurally related proteins from the fibronectin type III (fnIII) superfamily, the third fnIII domain from human tenascin (TNfn3) and the tenth fnIII domain from human fibronectin (FNfn10), have been studied by NMR spectroscopy. Side-chain order parameters reveal that the hydrophobic cores of the two proteins have substantially different mobilities. The core of TNfn3 is very dynamic, with exceptionally low order parameters for the most deeply buried residues, while that of FNfn10 is more like those of other proteins which have been studied with this technique, having a relatively rigid core with uniformly distributed dynamics. The unusually dynamic core of TNfn3 appears to be related to its amino acid composition, which makes it more fluid-like. A further explanation for the mobility of the TNfn3 core may be found in the negative correlation between the order parameter and excess packing volume, which shows that the core of TNfn3 is less densely packed and consequently has lower methyl order parameters for its buried residues. Rotameric transitions, presumably facilitated by the lower packing density, appear to make an important contribution to lowering the order parameters, and have been probed by measuring three-bond scalar couplings. Overall, although backbone dynamics is generally similar for proteins with the same topology on a fast time scale (picoseconds to nanoseconds), this study shows that a single fold can accommodate a wide variation in the dynamic properties of its core.

Structural Study of the C2 Domains of the Classical PKC Isoenzymes Using Infrared Spectroscopy and Two-Dimensional Infrared Correlation Spectroscopy†

The secondary structure of the C2 domains of the classical PKC isoenzymes, alpha, betaII, and gamma, has been studied using infrared spectroscopy. Ca(2+) and phospholipids were used as protein ligands to study their differential effects on the isoenzymes and their influence on thermal protein denaturation. Whereas the structures of the three isoenzymes were similar in the absence of Ca(2+) and phospholipids at 25 degrees C, some differences were found upon heating in their presence, the C2 domain of the gamma-isoenzyme being better preserved from thermal denaturation than the domain from the alpha-isoenzyme and this, in turn, being better than that from the beta-isoenzyme. A two-dimensional correlation study of the denaturation of the three domains also showed differences between them. Synchronous 2D-IR correlation showed changes (increased aggregation of denaturated protein) occurring at 1616-19 cm(-1), and this was found in the three isoenzymes. On the other hand, the asynchronous 2D-IR correlation study of the domains in the absence of Ca(2+) showed that, in all cases, the aggregation of denaturated protein increased after changes in other structural components, an increase perhaps related with the hard-core role of the beta-sandwich in these proteins. The differences observed between the three C2 domains may be related with their physiological specialization and occurrence in different cell compartments and in different cells.