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[Structure and conformational properties of the HIV Thailand gp120 immunodominant epitope].

NMR data and the previously developed theoretical method were used to determine the three-dimensional structure of the immunodominant epitope (IDE) of the HIVThailand. protein gp120. The best energy IDE conformers consistent with the theoretical and experimental data were calculated, and their ensemble was shown to give rise to the main chain folds found earlier in examining the HIVMN IDE structure. The gp120 IDE is supposed to behave as a metastable oligopeptide that, depending on the microenvironment, largely assumes one of the conformations from the ensemble. The results are discussed in the light of literature data on HIV-1 IDE structure.

Epitopes↗

PubMed2005

Automated use of mutagenesis data in structure prediction.

In the absence of experimental structural determination, numerous methods are available to indirectly predict or probe the structure of a target molecule. Genetic modification of a protein sequence is a powerful tool for identifying key residues involved in binding reactions or protein stability. Mutagenesis data is usually incorporated into the modeling process either through manual inspection of model compatibility with empirical data, or through the generation of geometric constraints linking sensitive residues to a binding interface. We present an approach derived from statistical studies of lattice models for introducing mutation information directly into the fitness score. The approach takes into account the phenotype of mutation (neutral or disruptive) and calculates the energy for a given structure over an ensemble of sequences. The structure prediction procedure searches for the optimal conformation where neutral sequences either have no impact or improve stability and disruptive sequences reduce stability relative to wild type. We examine three types of sequence ensembles: information from saturation mutagenesis, scanning mutagenesis, and homologous proteins. Incorporating multiple sequences into a statistical ensemble serves to energetically separate the native state and misfolded structures. As a result, the prediction of structure with a poor force field is sufficiently enhanced by mutational information to improve accuracy. Furthermore, by separating misfolded conformations from the target score, the ensemble energy serves to speed up conformational search algorithms such as Monte Carlo-based methods.

Algorithms↗

PubMed2004

Influence of multiple well defined conformations on small-angle scattering of proteins in solution.

A common structural motif for many proteins comprises rigid domains connected by a flexible hinge or linker. The flexibility afforded by these domains is important for proper function and such proteins may be able to adopt more than one conformation in solution under equilibrium conditions. Small-angle scattering of proteins in solution samples all conformations that exist in the sampled volume during the time of the measurement, providing an ensemble-averaged intensity. In this paper, the influence of sampling an ensemble of well defined protein structures on the small-angle solution scattering intensity profile is examined through common analysis methods. Two tests were performed using simulated data: one with the extended and collapsed states of the bilobal calcium-binding protein calmodulin and the second with the catalytic subunit of protein kinase A, which has two globular domains connected by a glycine hinge. In addition to analyzing the simulated data for the radii of gyration Rg, distance distribution function P(r) and particle volume, shape restoration was applied to the simulated data. Rg and P(r) of the ensemble profiles could be easily mistaken for a single intermediate state. The particle volumes and models of the ensemble intensity profiles show that some indication of multiple conformations exists in the case of calmodulin, which manifests an enlarged volume and shapes that are clear superpositions of the conformations used. The effect on the structural parameters and models is much more subtle in the case of the catalytic subunit of protein kinase A. Examples of how noise influences the data and analyses are also presented. These examples demonstrate the loss of the indications of multiple conformations in cases where even broad distributions of structures exist. While the tests using calmodulin show that the ensemble states remain discernible from the other ensembles tested or a single partially collapsed state, the tests performed using the simulated catalytic subunit of protein kinase A with noise added demonstrate that it can mask out the ensemble-dependent effects observed for the noiseless profiles.

Amino Acid Motifs↗

PubMed2000

Solution structure of a peptide model of a region important for the folding of alpha-lactalbumin provides evidence for the formation of nonnative structure in the denatured state.

Elucidating the properties of the denatured state of proteins under conditions relevant for their folding is a key factor in understanding the folding process. We show that a peptide corresponding to residues 111-120 of human alpha-lactalbumin has a pronounced propensity to adopt nonnative structure in aqueous solution. Two-dimensional NMR provides evidence for a structured, nonnative conformation in fast exchange with a random coil ensemble. A total of 78 Rotating Frame Overhauser Effects (ROEs) were used to calculate the conformation of the structured population. A nonnative cluster of hydrophobic residues involving the side chains of K114, W118, Ll119, and A120 is observed, which helps to stabilize a turn-like conformation in the vicinity of residues 115-118. The structure in 30% (vol/vol) TFE was also calculated. Interestingly, the addition of TFE did not simply amplify the population of the structured conformer observed in H2O, but instead induced a new conformation. The implications for the folding of the intact protein are discussed. We also discuss the implications of this study for the relevance of the use of mixed TFE/H2O solvent systems to study isolated peptides.

Circular Dichroism↗

PubMed1992

Helical epitope of the group B meningococcal alpha(2-8)-linked sialic acid polysaccharide.

The immunological properties of the group B meningococcal alpha(2-8)-linked sialic acid polysaccharide have been rationalized in terms of a model where the random coil nature of the polymer can be described by the presence of local helices. The conformational versatility of the alpha NeuAc(2-8)alpha NeuAc linkage has been explored by NMR studies at 600 MHz in conjunction with potential energy calculations for colominic acid, an alpha(2-8)NeuAc polymer, and the trisaccharide alpha NeuAc(2-8)alpha NeuAc(2-8)beta NeuAc. Potential energy calculations were used to estimate the energetically favorable conformers and to describe the wide range of helices which the polymer can adopt. No unique conformer was found to satisfy all NMR constraints, and only ensemble averaged nuclear Overhauser enhancements could correctly simulate the experimental data. Conformational differences between the polymer and the trisaccharide could be best explained in terms of slight changes in the relative distribution of conformers in solution. Similar helical parameters for the alpha(2-8)NeuAc polymer and poly(A) were proposed as the basis for their cross-reactivity to a monoclonal antibody IgMNOV. The unusual length dependency for binding of oligosaccharide to group B specific antibodies was postulated to arise from the recognition of a high-order local helix with an extended conformation which was not highly populated in solution.

Antigens, Bacterial↗

PubMed2001

The configurational dependence of binding free energies: a Poisson-Boltzmann study of Neuraminidase inhibitors.

The linear finite difference Poisson-Boltzmann (FDPB) equation is applied to the calculation of the electrostatic binding free energies of a group of inhibitors to the Neuraminidase enzyme. An ensemble of enzyme-inhibitor complex conformations was generated using Monte Carlo simulations and the electrostatic binding free energies of subtly different configurations of the enzyme-inhibitor complexes were calculated. It was seen that the binding free energies calculated using FDPB depend strongly on the configuration of the complex taken from the ensemble. This configurational dependence was investigated in detail in the electrostatic hydration free energies of the inhibitors. Differences in hydration energies of up to 7 kcal mol(-1) were obtained for root mean square (RMS) structural deviations of only 0.5 A. To verify the result, the grid size and parameter dependence of the calculated hydration free energies were systematically investigated. This showed that the absolute hydration free energies calculated using the FDPB equation were very sensitive to the values of key parameters, but that the configurational dependence of the free energies was independent of the parameters chosen. Thus just as molecular mechanics energies are very sensitive to configuration, and single-structure values are not typically used to score binding free energies, single FDPB energies should be treated with the same caution.

Binding Sites↗

PubMed2004

MMTSB Tool Set: enhanced sampling and multiscale modeling methods for applications in structural biology.

We describe the Multiscale Modeling Tools for Structural Biology (MMTSB) Tool Set (https://mmtsb.scripps.edu/software/mmtsbToolSet.html), which is a novel set of utilities and programming libraries that provide new enhanced sampling and multiscale modeling techniques for the simulation of proteins and nucleic acids. The tool set interfaces with the existing molecular modeling packages CHARMM and Amber for classical all-atom simulations, and with MONSSTER for lattice-based low-resolution conformational sampling. In addition, it adds new functionality for the integration and translation between both levels of detail. The replica exchange method is implemented to allow enhanced sampling of both the all-atom and low-resolution models. The tool set aims at applications in structural biology that involve protein or nucleic acid structure prediction, refinement, and/or extended conformational sampling. With structure prediction applications in mind, the tool set also implements a facility that allows the control and application of modeling tasks on a large set of conformations in what we have termed ensemble computing. Ensemble computing encompasses loosely coupled, parallel computation on high-end parallel computers, clustered computational grids and desktop grid environments. This paper describes the design and implementation of the MMTSB Tool Set and illustrates its utility with three typical examples--scoring of a set of predicted protein conformations in order to identify the most native-like structures, ab initio folding of peptides in implicit solvent with the replica exchange method, and the prediction of a missing fragment in a larger protein structure.

Computer Simulation↗

PubMed2004

Structural characterization of VGVAPG, an elastin-derived peptide.

Elastic fibers are an important component of the extracellular matrix, providing elasticity and resilience to tissues that require the ability to deform repetitively and reversibly. Among the elastin-derived peptides, the Val-Gly-Val-Ala-Pro-Gly (VGVAPG) hexapeptide is known for its chemotactic activity and metalloproteinases upregulation properties. As other elastin-derived peptides, having homologous similar sequences, do not exhibit any biological activity, the following question arises: Does the peptide-receptor interaction need a specific active conformation? Previous experimental studies including NMR and CD spectroscopies did not clearly identify the conformations adopted by the VGVAPG peptide in solution. However, structural predictions made on VGVAPG and related XGXXPG peptides suggested a folded beta-turn conformation. So we undertook a theoretical and experimental study of the VGVAPG peptide. The work presented here, which gives an overall structural description of VGVAPG behavior in water, also provides an additional insight into its structure-activity relationship. Both theoretical and experimental results suggest the existence of an ensemble of rather extended and folded conformations in solution. All the folded structures obtained exhibit a type VIII beta-turn spanning the GVAP sequence. In the lack of any structural information concerning the elastin receptor, these results suggest that such a conformation could be relevant for the peptide-receptor interaction and thus for biological activity.

Elastin↗

PubMed2001

Disordered to ordered folding in the regulation of diphtheria toxin repressor activity.

Understanding how metal binding regulates the activity of the diphtheria toxin repressor protein (DtxR) requires information about the structure in solution. We have prepared a DtxR mutant construct with three additional N-terminal residues, Gly-Ser-His-DtxR(Cys-102 --> Asp), that retains metal-binding capabilities, but remains monomeric in solution and does not bind DNA under conditions that effect dimerization and DNA binding in the functional DtxR(Cys-102 --> Asp) construct. Although the interaction properties of this inactive mutant in solution are very different from that of active repressors, crystallization imposes the same dimeric structure as observed in all crystal forms of the active repressor with and without bound metal. Our solution NMR analyses of active and inactive metal-free diphtheria toxin repressors demonstrate that whereas the C-terminal one-third of the protein is well ordered, the N-terminal two-thirds exhibits conformational flexibility and exists as an ensemble of structural substates with undefined tertiary structure. Fluorescence binding assays with 1-anilino naphthalene-8-sulfonic acid (ANS) confirm that the highly alpha-helical N-terminal two-thirds of the apoprotein is molten globule-like in solution. Binding of divalent metal cations induces a substantial conformational reorganization to a more ordered state, as evidenced by changes in the NMR spectra and ANS binding. The evident disorder to order transition upon binding of metal in solution is in contrast to the minor conformational changes seen comparing apo- and holo-DtxR crystal structures. Disordered to ordered folding appears to be a general mechanism for regulating specific recognition in protein action and this mechanism provides a plausible explanation for how metal binding controls the DtxR repressor activity.

Amino Acid Substitution↗

PubMed2000

Long-range order in the src SH3 folding transition state.

One of the outstanding questions in protein folding concerns the degree of heterogeneity in the folding transition state ensemble: does a protein fold via a large multitude of diverse "pathways," or are the elements of native structure assembled in a well defined order? Herein, we build on previous point mutagenesis studies of the src SH3 by directly investigating the association of structural elements and the loss of backbone conformational entropy during folding. Double-mutant analysis of polar residues in the distal beta-hairpin and the diverging turn indicates that the hydrogen bond network between these elements is largely formed in the folding transition state. A 10-glycine insertion in the n-src loop (which connects the distal hairpin and the diverging turn) and a disulfide crosslink at the base of the distal beta-hairpin exclusively affect the folding rate, showing that these structural elements are nearly as ordered in the folding transition state as in the native state. In contrast, crosslinking the base of the RT loop or the N and C termini dramatically slows down the unfolding rate, suggesting that dissociation of the termini and opening of the RT loop precede the rate-limiting step in unfolding. Taken together, these results suggest that essentially all conformations in the folding transition state ensemble have the central three-stranded beta-sheet formed, indicating that, for the src homology 3 domain, there is a discrete order to structure assembly during folding.

Animals↗

PubMed2005

Stabilization of the ribosomal protein S6 by trehalose is counterbalanced by the formation of a putative off-pathway species.

The effect of trehalose on folding and stability of the small ribosomal protein S6 was studied. Non-disruptive point mutations distributed along the protein structure were analyzed to characterize the stabilizing effect of trehalose and map the folding pathway of S6. On average, the stability of the wild-type and S6 mutants increases by 3 kcal/mol M trehalose. Despite the non-specific thermodynamic stabilization mechanism, trehalose particularly stabilizes the less destabilized mutants. Folding/unfolding kinetics shows clearly that trehalose induces the collapse of the unfolded state to an off-pathway intermediate with non-native diffuse contacts. This state is similar to the collapsed state induced by high concentrations of stabilizing salts, as previously reported. Although it leads to the accumulation of this off-pathway intermediate, trehalose does not change the compactness of the transition state ensemble. Furthermore, the productive folding pathway of S6 is not affected by trehalose as shown by a Phi-value analysis. The unfolded state ensemble of S6 should be more compact in the presence of trehalose and therefore destabilized due to decreased conformational entropy. Increased compaction of the unfolded state ensemble might also occur for more stable mutants of S6, thus explaining the synergistic effect of trehalose and point mutations on protein stabilization.

Circular Dichroism↗

PubMed1997

Discrete backbone disorder in the nuclear magnetic resonance structure of apo intestinal fatty acid-binding protein: implications for the mechanism of ligand entry.

The three-dimensional structure of the unliganded form of Escherichia coli-derived rat intestinal fatty acid-binding protein (I-FABP) has been determined using triple-resonance three-dimensional nuclear magnetic resonance (3D NMR) methods. Sequence-specific 1H, 13C, and 15N resonance assignments were established at pH 7.2 and 33 degrees C and used to determine the consensus 1H/13C chemical shift-derived secondary structure. Subsequently, an eight-stage iterative procedure was used to assign the 3D 13C- and 15N-resolved NOESY spectra, yielding a total of 3335 interproton distance restraints or 26 restraints/residue. The tertiary structures were calculated using a distance geometry/simulated annealing algorithm that employs pairwise Gaussian metrization to achieve improved sampling and convergence. The final ensemble of NMR structures exhibited a backbone conformation generally consistent with the beta-clam motif described for members of the lipid-binding protein family. However, unlike holo-I-FABP, the structure ensemble for apo-I-FABP exhibited variability in a discrete region of the backbone. This variability was evaluated by comparing the apo- and holoproteins with respect to their backbone 1H and 13C chemical shifts, amide 1H exchange rates, and 15N relaxation rates. Together, these results established that the structural variability represented backbone disorder in apo-I-FABP. The disorder was most pronounced in residues K29-L36 and N54-N57, encompassing the distal half of alpha-helix II, the linker between helix II and beta-strand B, and the reverse turn between beta-strands C and D. It was characterized by a destablization of long-range interactions between helix II and the C-D turn and a fraying of the C-terminal half of the helix. Unlike the solution-state NMR structure, the 1.2-A X-ray crystal structure of apo-I-FABP did not exhibit this backbone disorder. In solution, the disordered region may function as a dynamic portal that regulates the entry and exit of fatty acid. We hypothesize that fatty acid binding shifts the order-disorder equilibrium toward the ordered state and closes the portal by stabilizing a series of cooperative interactions resembling a helix capping box. This proposed mechanism has implications for the acquisition, release, and targeting of fatty acids by I-FABP within the cell.

Algorithms↗

PubMed2000

A fast method to sample real protein conformational space.

A fast computer program, FOLDTRAJ, to generate plausible random protein structures is reported. All-atom proteins are made directly in continuous three-dimensional space starting from primary sequence with an N to C directed build-up method. The method uses a novel pipelined residue addition approach in which the leading edge of the protein is constructed three residues at a time for optimal protein geometry, including the placement of cis proline. Build-up methods represent a classic N-body problem, expected to scale as N(2). When proteins become more collapsed, build-up methods are susceptible to backtracking problems which can scale exponentially with the number of residues required to back out of a trapped walk. We have provided solutions to both these problems, using a multiway binary tree that makes the N-body problem of bump-checking scale as NlogN, and speeding up backtracking by varying the number of tries before backtracking based on available conformational space. FOLDTRAJ is independent of energy potentials, other than that implicit in the geometrical properties derived by statistical studies of known structures, and in atomic Van der Waals radii. WHAT-CHECK shows that the program generates chirally and physically valid proteins with all bond lengths, angles and dihedrals within allowable tolerances. Random structures built using sequences from PDB files 1SEM, 2HPR, and 1RTP typically have 5-15% alpha-helical content (according to DSSP) and on the order of 20% beta-strand/extended content. Ensembles of random structures are compared with polymer theory and with experimentally determined fluorescence resonance energy transfer distances. Reasonably sized structure ensembles do sample most of the conformational space available to proteins. The method is also capable of protein reconstruction using Calpha--Calpha direction vectors, and it compares favorably with methods that reconstruct protein backbones based on alpha-carbon coordinates, having an average backbone and Cbeta root mean square deviation of 0.63 A for nine different protein folds. Proteins 2000;39:112-131.

Algorithms↗

PubMed2006

Ab initio computational modeling of long loops in G-protein coupled receptors.

A newly developed approach for predicting the structure of segments that connect known elements of secondary structure in proteins has been applied to some of the longer loops in the G-protein coupled receptors (GPCRs) rhodopsin and the dopamine receptor D2R. The algorithm uses Monte Carlo (MC) simulation in a temperature annealing protocol combined with a scaled collective variables (SCV) technique to search conformation space for loop structures that could belong to the native ensemble. Except for rhodopsin, structural information is only available for the transmembrane helices (TMHs), and therefore the usual approach of finding a single conformation of lowest energy has to be abandoned. Instead the MC search aims to find the ensemble located at the absolute minimum free energy, i.e., the native ensemble. It is assumed that structures in the native ensemble can be found by an MC search starting from any conformation in the native funnel. The hypothesis is that native structures are trapped in this part of conformational space because of the high-energy barriers that surround the native funnel. In this work it is shown that the crystal structure of the second extracellular loop (e2) of rhodopsin is a member of this loop's native ensemble. In contrast, the crystal structure of the third intracellular loop is quite different in the different crystal structures that have been reported. Our calculations indicate, that of three crystal structures examined, two show features characteristic of native ensembles while the other one does not. Finally the protocol is used to calculate the structure of the e2 loop in D2R. Here, the crystal structure is not known, but it is shown that several side chains that are involved in interaction with a class of substituted benzamides assume conformations that point into the active site. Thus, they are poised to interact with the incoming ligand.

Amino Acid Sequence↗

PubMed2003

Aromatic and methyl NOEs highlight hydrophobic clustering in the unfolded state of an SH3 domain.

The N-terminal SH3 domain of Drosophila drk (drkN SH3 domain) exists in equilibrium between a folded (F(exch)) state and a relatively compact unfolded (U(exch)) state under nondenaturing conditions. Selectively labeled samples of the domain have been analyzed by NOESY NMR experiments to probe residual hydrophobic clustering in the U(exch) state. The labeling strategy included selective protonation of aromatic rings or delta-methyl groups on Ile and Leu residues in a highly deuterated background. Combined with long mixing times, the methods permitted observation of significant numbers of long-range interactions between hydrophobic side chains, providing evidence for multiple conformers involving non-native hydrophobic clusters around the Trp 36 indole. Comparison of these data with previously reported HN-HN NOEs yields structural insight into the diversity of structures within the U(exch) ensemble in the drkN SH3 domain. Many of the HN-HN NOEs are consistent with models containing compact residual nativelike secondary structure and greater exposure of the Trp 36 indole to solvent, similar to kinetic intermediates formed in the hierarchic condensation model of folding. However, the methyl and aromatic NOE data better fit conformations with non-native burial of the Trp indole surrounded by hydrophobic groups and more loosely formed beta-structure; these structural characteristics are more consistent with those of kinetic intermediates formed during the hydrophobic collapse mechanism of folding. This suite of NOE data provides a more complete picture of the structures that span the U(exch) state ensemble, from conformers with non-native structure but long-range contacts to those that are highly nativelike. Together, the results are also consistent with the folding funnel view involving multiple folding pathways for this molecule.

Animals↗

PubMed2000

Protein folding and unfolding on a complex energy landscape.

Recent theories of protein folding suggest that individual proteins within a large ensemble may follow different routes in conformation space from the unfolded state toward the native state and vice versa. Herein, we introduce a new type of kinetics experiment that shows how different unfolding pathways can be selected by varying the initial reaction conditions. The relaxation kinetics of the major cold shock protein of Escherichia coli (CspA) in response to a laser-induced temperature jump are exponential for small temperature jumps, indicative of folding through a two-state mechanism. However, for larger jumps, the kinetics become strongly nonexponential, implying the existence of multiple unfolding pathways. We provide evidence that both unfolding across an energy barrier and diffusive downhill unfolding can occur simultaneously in the same ensemble and provide the experimental requirements for these to be observed.

Bacterial Proteins↗

PubMed2005

A fluorescence resonance energy transfer-based probe to monitor nucleosome structure.

Nucleosomes are the basic units of eukaryotic chromatin structure. By restricting factor access to regulatory DNA sequences, nucleosomes significantly impact genomic processes such as transcription, and various mechanisms to alter nucleosome structure to relieve this repression have evolved. Both nucleosomes and processes that alter them are inherently dynamic in nature. Thus, studies of dynamics will be necessary to truly understand these relief mechanisms. We describe here the characteristics of a novel fluorescence resonance energy transfer-based reporter that can clearly signal the formation of a canonical nucleosome structure and follow conformational and compositional changes in that structure, both at the ensemble-average (bulk) and at the single molecule level. Labeled nucleosomes behave conformationally and thermodynamically like typical nucleosomes; thus they are relevant reporters of nucleosome behavior. Nucleosomes and free DNA are readily distinguishable at the single-molecule level. Thus, these labeled nucleosomes are well suited to studies of dynamic changes in nucleosome structure including single-molecule dynamics.

DNA Probes↗

PubMed2006

Fibrillogenic and non-fibrillogenic ensembles of SDS-bound human alpha-synuclein.

Fibril formation of alpha-synuclein is associated with several neurodegenerative diseases, including Parkinson's disease in humans. The anionic detergent sodium dodecyl sulfate (SDS) can accelerate the fibril formation in vitro. However, the molecular basis of this acceleration is not clear. Our study shows that native alpha-synuclein exhibits relatively less fibril growth despite providing fibril seeds for nucleation. The presence of SDS promotes the seeded fibril growth in a concentration-dependent manner, with an optimal concentration of 0.5-0.75 mM. We used isothermal calorimetry, hydrophobic dye binding and circular dichroism spectroscopy to characterize the protein-detergent interactions as a function of the concentration of SDS. Interaction of SDS with alpha-synuclein when studied by isothermal titration calorimetry and hydrophobic dye-binding reveals a similar characteristic optimal behavior between 0.5 mM and 0.75 mM SDS. The study shows two types of ensembles of alpha-synuclein and SDS: the fibrillogenic ensembles formed with optimal concentration of SDS around 0.5-0.75 mM are characterized by enhanced accessible hydrophobic surfaces and extended to partially helical conformation, while the less or non-fibrillogenic ensembles formed above 2 mM SDS are characterized by less accessible hydrophobic surfaces and maximal helical content. Little or no fibrillogenicity of the ensembles observed above 2 mM SDS could be partly because of the observed intrinsic instability of the fibrils under the condition.

Circular Dichroism↗