Secondary Structure Interactions Research Articles

Dissecting the Alternatively Folded State of the Antibody Fab Fragment

Intact antibodies and antigen binding fragments (Fab) have been previously shown to form an alternatively folded state (AFS) at low pH. This state consists primarily of secondary structure interactions, with reduced tertiary structure content. The AFS can be distinguished from the molten globule state by the formation of nonnative structure and, in particular, its high stability. In this study, the isolated domains of the MAK33 (murine monoclonal antibody of the subtype κ/IgG1) Fab fragment were investigated under conditions that have been reported to induce the AFS. Surprising differences in the ability of individual domains to form the AFS were observed, despite the similarities in their native structures. All Fab domains were able to adopt the AFS, but only for V H (variable domain of the heavy chain) could a significant amount of tertiary structure be detected and different conditions were needed to induce the AFS. V H, the least stable of the domains under physiological conditions, was the most stable in the AFS, yet all domains showed significant stability against thermal and chemical unfolding in their AFS. Formation of the AFS was found to generally proceed via the unfolded state, with similar rates for most of the domains. Taken together, our data reveal striking differences in the biophysical properties of the AFS of individual antibody domains that reflect the variation possible for domains of highly homologous native structures. Furthermore, they allow individual domain contributions to be dissected from specific oligomer effects in the AFS of the antibody Fab fragment.

Interrupted Hydrogen/Deuterium Exchange Reveals the Stable Core of the Remarkably Helical Molten Globule of α-β Parallel Protein Flavodoxin

Interrupted Hydrogen/Deuterium Exchange Reveals the Stable Core of the Remarkably Helical Molten Globule of α-β Parallel Protein Flavodoxin

Influence of microenvironment and liposomal formulation on secondary structure and bilayer interaction of lysozyme

The conformation of peptide and protein drugs in various microenvironments and the interaction with drug carriers such as liposomes are of considerable interest. In this study the influence of microenvironments such as pH, salt concentration, and surface charge on the secondary structure of a model protein, lysozyme, either in solution or entrapped in liposomes with various molar ratios of phosphatidylcholine (PC):cholesterol (Chol) was investigated. It was found that entrapment efficiency was more pronounced in negatively charged liposomes than in non-charged liposomes, which was independent of Chol content and pH of hydration medium. The occurrence of aggregation, decrease in zeta potential, and alteration of 31P NMR chemical shift of negatively charged lysozyme liposomes compared to blank liposomes suggested that the electrostatic interaction plays a major role in protein–lipid binding. Addition of sodium chloride could impair the neutralizing ability of positively charged lysozyme on negatively charged membrane via chloride counterion binding. Neither lysozyme in various buffer solutions with sodium chloride nor that entrapped in liposomes showed any significant change in their secondary structures. However, significant decrease in α-helical content of lysozyme in non-charged liposomes at higher pH and salt concentrations was discovered.

A quantum-topological analysis of noncovalent interactions in secondary polyalanine structures

The geometric parameters and relative stability of γ- and β-loop conformers of oligomers based on alanine were determined by the Kohn-Sham method (the B3LYP/6–31+G** approximation). The three-dimensional architecture of the β-folded structure and protein α-helix was reproduced using Kohn-Sham calculations with periodic boundary conditions. The Bader quantum-topological molecular structure theory was used to reveal and quantitatively characterize noncovalent interatomic interactions in the secondary structures of model peptides under consideration. Earlier unnoticed additional noncovalent interactions stabilizing the structures under consideration were revealed. In β-loops, these are C-H⋯O and H⋯H interactions, and, in antiparallel β-folded structures, these are weak Cβ-H⋯H-Cβ interactions between side chains. Additional weak bonding interaction between C=O groups in position i and H-Cβ groups in position i + 3 was revealed for the protein α-helix; this interaction is usually ignored in amino acid folding simulations with the use of classic force fields.

Biohybrid and peptide-based polymer vesicles

This review covers the major processes and mechanisms involved in the production of biohybrid or peptide-based polymer vesicles by self-assembly. The formation of vesicles conventionally occurs based on geometric packing issues, and becomes predominant when the membrane-forming segment is stiffened due to hydrogen bonding and secondary structure interactions or supramolecular complexation. The vesicles are used for applications in life science, for the purpose of drug/gene delivery, cell surface recognition, and as bioreactors, and for the production of composite materials.

Strong correlation between SHAPE chemistry and the generalized NMR order parameter (S2) in RNA.

The functions of most RNA molecules are critically dependent on the distinct local dynamics that characterize secondary structure and tertiary interactions and on structural changes that occur upon binding by proteins and small molecule ligands. Measurements of RNA dynamics at nucleotide resolution set the foundation for understanding the roles of individual residues in folding, catalysis, and ligand recognition. In favorable cases, local order in small RNAs can be quantitatively analyzed by NMR in terms of a generalized order parameter, S2. Alternatively, SHAPE (selective 2'-hydroxyl acylation analyzed by primer extension) chemistry measures local nucleotide flexibility in RNAs of any size using structure-sensitive reagents that acylate the 2'-hydroxyl position. In this work, we compare per-residue RNA dynamics, analyzed by both S2 and SHAPE, for three RNAs: the HIV-1 TAR element, the U1A protein binding site, and the Tetrahymena telomerase stem loop 4. We find a very strong correlation between the two measurements: nucleotides with high SHAPE reactivities consistently have low S2 values. We conclude that SHAPE chemistry quantitatively reports local nucleotide dynamics and can be used with confidence to analyze dynamics in large RNAs, RNA-protein complexes, and RNAs in vivo.

A structural annotation resource for the selection of putative target proteins in the malaria parasite

BackgroundProtein structure plays a pivotal role in elucidating mechanisms of parasite functioning and drug resistance. Moreover, protein structure aids the determination of protein function, which can together with the structure be used to identify novel drug targets in the parasite. However, various structural features in Plasmodium falciparum proteins complicate the experimental determination of protein structures. Limited similarity to proteins in the Protein Data Bank and the shortage of solved protein structures in the malaria parasite necessitate genome-scale structural annotation of P. falciparum proteins. Additionally, the annotation of a range of structural features facilitates the identification of suitable targets for experimental and computational studies.MethodsAn integrated structural annotation system was developed and applied to P. falciparum, Plasmodium vivax and Plasmodium yoelii. The annotation included searches for sequence similarity, patterns and domains in addition to the following predictions: secondary structure, transmembrane helices, protein disorder, low complexity, coiled-coils and small molecule interactions. Subsequently, candidate proteins for further structural studies were identified based on the annotated structural features.ResultsThe annotation results are accessible through a web interface, enabling users to select groups of proteins which fulfil multiple criteria pertaining to structural and functional features [1]. Analysis of features in the P. falciparum proteome showed that protein-interacting proteins contained a higher percentage of predicted disordered residues than non-interacting proteins. Proteins interacting with 10 or more proteins have a disordered content concentrated in the range of 60–100%, while the disorder distribution for proteins having only one interacting partner, was more evenly spread.ConclusionA series of P. falciparum protein targets for experimental structure determination, comparative modelling and in silico docking studies were putatively identified. The system is available for public use, where researchers may identify proteins by querying with multiple physico-chemical, sequence similarity and interaction features.

Correlation between the secondary structure of pre-mRNA introns and the efficiency of splicing in Saccharomyces cerevisiae

BackgroundSecondary structure interactions within introns have been shown to be essential for efficient splicing of several yeast genes. The nature of these base-pairing interactions and their effect on splicing efficiency were most extensively studied in ribosomal protein gene RPS17B (previously known as RP51B). It was determined that complementary pairing between two sequence segments located downstream of the 5' splice site and upstream of the branchpoint sequence promotes efficient splicing of the RPS17B pre-mRNA, presumably by shortening the branchpoint distance. However, no attempts were made to compute a shortened, 'structural' branchpoint distance and thus the functional relationship between this distance and the splicing efficiency remains unknown.ResultsIn this paper we use computational RNA secondary structure prediction to analyze the secondary structure of the RPS17B intron. We show that it is necessary to consider suboptimal structure predictions and to compute the structural branchpoint distances in order to explain previously published splicing efficiency results. Our study reveals that there is a tight correlation between this distance and splicing efficiency levels of intron mutants described in the literature. We experimentally test this correlation on additional RPS17B mutants and intron mutants within two other yeast genes.ConclusionThe proposed model of secondary structure requirements for efficient splicing is the first attempt to specify the functional relationship between pre-mRNA secondary structure and splicing. Our findings provide further insights into the role of pre-mRNA secondary structure in gene splicing in yeast and also offer basis for improvement of computational methods for splice site identification and gene-finding.

Protein folding forces

We investigate the average inter-residue folding forces derived from mutational data of the 15 proteins: barstar, barnase, chymotrypsin inhibitor 2 (CI2), Src SH3 domain, spectrin R16 domain, Arc repressor, apo-azurin, cold shock protein B (cspB), C-terminal domain of ribosomal protein L9 (CTL9), FKBP12, α-lactalbumin, colicin E7 immunity protein 7 (IM7), colicin E9 immunity protein 9 (IM9), spectrin R17 domain, and ubiquitin. The residue-specific contributions to folding in most of the 15 protein molecules are highly non-uniformly distributed and are typically about 1 piconewton (pN) per interaction. The strongest folding forces often occur in some of the helices and strands of folding nuclei which suggests that folding nucleation−condensation is partially directed by formation of some secondary structure interactions. The correlation of the energy changes of mutants with inter-residue contact maps of the protein molecules provides a higher resolution than assigning the mutant data to certain positions in the polypeptide strand alone. In contrast to previous Φ-value analysis, we now can partially resolve folding motions. Compaction of at least one α-helix along its axis mediated by internal hydrogen bonds and stabilized by diffuse tertiary structure interactions appears to be one important molecular event during early folding in barstar, CI2, spectrin R16 domain, Arc repressor, α-lactalbumin, IM7, IM9, and spectrin R17 domain. A lateral movement of at least two strands neighbored in sequence towards each other appears to be involved in early folding of the SH3 domain, cspB, CTL9, and FKBP12.

QTAIM study of the closed-shell interactions in peptide secondary structures: A cluster treatment of oligo- and polyalanines

The closed-shell interactions in oligo- and polyalanines are studied by the quantum theory of atoms in molecules (QTAIM) using electron densities derived from the B3LYP/6-31+G ∗∗ ground-state electronic wave-functions. The QTAIM enabled us to identify a large number of the intraturn closed-shell stabilizing interactions in the β-turns, which were presented by several conformers of the tetrapeptide model compound. We found that only β-turn type IVa exhibits a 10-member pseudocycle. The intrachain H-bonds between the adjacent N–H and C O groups in the antiparallel β-sheet conformation of polyalanine have not been found. At the same time, these interactions do exist in the parallel conformation and are even stronger than the interchain N–H…O bonds. A weak interaction between the C O group at the position i and the side-chain C–H group at the position i + 3 was detected in the α-helical conformation of polyalanine.

The Mechanical Unfolding of Ubiquitin through All-Atom Monte Carlo Simulation with a Gō-Type Potential

The mechanical unfolding of proteins under a stretching force has an important role in living systems and is a logical extension of the more general protein folding problem. Recent advances in experimental methodology have allowed the stretching of single molecules, thus rendering this process ripe for computational study. We use all-atom Monte Carlo simulation with a Gō-type potential to study the mechanical unfolding pathway of ubiquitin. A detailed, robust, well-defined pathway is found, confirming existing results in this vein though using a different model. Additionally, we identify the protein’s fundamental stabilizing secondary structure interactions in the presence of a stretching force and show that this fundamental stabilizing role does not persist in the absence of mechanical stress. The apparent success of simulation methods in studying ubiquitin’s mechanical unfolding pathway indicates their potential usefulness for future study of the stretching of other proteins and the relationship between protein structure and the response to mechanical deformation.

Amino Acid Bulkiness Defines the Local Conformations and Dynamics of Natively Unfolded α-Synuclein and Tau

Natively unfolded proteins play key roles in normal and pathological biochemical processes. This category of proteins remains, however, beyond the reach of classical structural biology because of their inherent conformational heterogeneity. When confined in weakly aligning media, natively unfolded proteins such as α-synuclein, the major component of abnormal aggregates in the brain of patients with Parkinson's disease, display surprisingly variable NMR dipolar couplings as a function of position along the chain, suggesting the presence of residual secondary or tertiary structure. Here we show that the variation of NMR dipolar couplings and heteronuclear relaxation rates in α-synuclein closely follows the variations of the bulkiness of amino acids along the polypeptide chain. Our results demonstrate that the bulkiness of amino acids defines the local conformations and dynamics of α-synuclein and other natively unfolded proteins. Deviations from this random coil behavior can provide insight into residual secondary structure and long-range transient interactions in unfolded proteins.

Fluctuations of primary ubiquitin folding intermediates in a force clamp

Folding experiments of single ubiquitin molecules under force clamp using an atomic force microscope revealed a dynamic long-lived intermediate with nanometer scale end-to-end distance fluctuations along an unexpectedly complex folding pathway. To examine the nature of this intermediate at the atomic level as well as the driving forces that give rise to the observed fluctuations, we performed molecular dynamics refolding simulations of unfolded ubiquitin under constant force. After an initial fast collapse, we find a highly dynamic, broad ensemble of conformations with partial and continuously changing secondary structure and side chain interactions. This ensemble resembles a molten-globule-like state, similar in nature to the previously described non-native state of ubiquitin in solution, but stretched by the external force. The scale of the end-to-end distance fluctuations derived from the simulations compares well with experiment. Transient formation of unspecific and metastable hydrophobic clusters along the chain are found to give rise to the observed end-to-end distance fluctuations. These distinct collapses, interpreted as folding attempts, imply an upper limit for the folding attempt frequency of ∼10 ns. Our results suggest possible relations between force-induced unfolding and temperature or chemically induced denaturation.

The First Structure from the SOUL/HBP Family of Heme-binding Proteins, Murine P22HBP

The First Structure from the SOUL/HBP Family of Heme-binding Proteins, Murine P22HBP

Systematically Assessing the Influence of 3-Dimensional Structural Context on the Molecular Evolution of Mammalian Proteomes

The 3-dimensional (3D) structural context of amino acid residues in a protein could significantly impact the level of selective constraint on the residues. Here, by analyzing 767 mammalian proteins, we systematically investigate how various 3D structural contexts influence selective constraint. The structural contexts we examined include solvent accessibility, secondary structure, and intramolecular residue-residue interactions. Through this analysis, we offer quantitative information on how 3D structural contexts affect the level of selective constraint.

Motional properties of unfolded ubiquitin: a model for a random coil protein

The characterization of unfolded states of proteins has recently attracted considerable interest, as the residual structure present in these states may play a crucial role in determining their folding and misfolding behavior. Here, we investigated the dynamics in the denatured state of ubiquitin in 8 M urea at pH2. Under these conditions, ubiquitin does not have any detectable local residual structure, and uniform 15N relaxation rates along the sequence indicate the absence of motional restrictions caused by residual secondary structure and/or long-range interactions. A comparison of different models to predict relaxation data in unfolded proteins suggests that the subnanosecond dynamics in unfolded states depend on segmental motions only and do not show a dependence on the residue type but for proline and glycine residues.

Structural Classification of Small, Disulfide-rich Protein Domains

Disulfide-rich domains are small protein domains whose global folds are stabilized primarily by the formation of disulfide bonds and, to a much lesser extent, by secondary structure and hydrophobic interactions. Disulfide-rich domains perform a wide variety of roles functioning as growth factors, toxins, enzyme inhibitors, hormones, pheromones, allergens, etc. These domains are commonly found both as independent (single-domain) proteins and as domains within larger polypeptides. Here, we present a comprehensive structural classification of approximately 3000 small, disulfide-rich protein domains. We find that these domains can be arranged into 41 fold groups on the basis of structural similarity. Our fold groups, which describe broader structural relationships than existing groupings of these domains, bring together representatives with previously unacknowledged similarities; 18 of the 41 fold groups include domains from several SCOP folds. Within the fold groups, the domains are assembled into families of homologs. We define 98 families of disulfide-rich domains, some of which include newly detected homologs, particularly among knottin-like domains. On the basis of this classification, we have examined cases of convergent and divergent evolution of functions performed by disulfide-rich proteins. Disulfide bonding patterns in these domains are also evaluated. Reducible disulfide bonding patterns are much less frequent, while symmetric disulfide bonding patterns are more common than expected from random considerations. Examples of variations in disulfide bonding patterns found within families and fold groups are discussed.

Protein structure similarity from Principle Component Correlation analysis.

BackgroundOwing to rapid expansion of protein structure databases in recent years, methods of structure comparison are becoming increasingly effective and important in revealing novel information on functional properties of proteins and their roles in the grand scheme of evolutionary biology. Currently, the structural similarity between two proteins is measured by the root-mean-square-deviation (RMSD) in their best-superimposed atomic coordinates. RMSD is the golden rule of measuring structural similarity when the structures are nearly identical; it, however, fails to detect the higher order topological similarities in proteins evolved into different shapes. We propose new algorithms for extracting geometrical invariants of proteins that can be effectively used to identify homologous protein structures or topologies in order to quantify both close and remote structural similarities.ResultsWe measure structural similarity between proteins by correlating the principle components of their secondary structure interaction matrix. In our approach, the Principle Component Correlation (PCC) analysis, a symmetric interaction matrix for a protein structure is constructed with relationship parameters between secondary elements that can take the form of distance, orientation, or other relevant structural invariants. When using a distance-based construction in the presence or absence of encoded N to C terminal sense, there are strong correlations between the principle components of interaction matrices of structurally or topologically similar proteins.ConclusionThe PCC method is extensively tested for protein structures that belong to the same topological class but are significantly different by RMSD measure. The PCC analysis can also differentiate proteins having similar shapes but different topological arrangements. Additionally, we demonstrate that when using two independently defined interaction matrices, comparison of their maximum eigenvalues can be highly effective in clustering structurally or topologically similar proteins. We believe that the PCC analysis of interaction matrix is highly flexible in adopting various structural parameters for protein structure comparison.

Prediction of "hot spots" of aggregation in disease-linked polypeptides

BackgroundThe polypeptides involved in amyloidogenesis may be globular proteins with a defined 3D-structure or natively unfolded proteins. The first class includes polypeptides such as β2-microglobulin, lysozyme, transthyretin or the prion protein, whereas β-amyloid peptide, amylin or α-synuclein all belong to the second class. Recent studies suggest that specific regions in the proteins act as "hot spots" driving aggregation. This should be especially relevant for natively unfolded proteins or unfolded states of globular proteins as they lack significant secondary and tertiary structure and specific intra-chain interactions that can mask these aggregation-prone regions. Prediction of such sequence stretches is important since they are potential therapeutic targets.ResultsIn this study we exploited the experimental data obtained in an in vivo system using β-amyloid peptide as a model to derive the individual aggregation propensities of natural amino acids. These data are used to generate aggregation profiles for different disease-related polypeptides. The approach detects the presence of "hot spots" which have been already validated experimentally in the literature and provides insights into the effect of disease-linked mutations in these polypeptides.ConclusionThe proposed method might become a useful tool for the future development of sequence-targeted anti-aggregation pharmaceuticals.

Fusogenic Alzheimer's peptide fragment Aβ (29–42) in interaction with lipid bilayers: Secondary structure, dynamics, and specific interaction with phosphatidyl ethanolamine polar heads as revealed by solid‐state NMR

The interaction of the native Alzheimer's peptide C-terminal fragment Abeta (29-42), and two mutants (G33A and G37A) with neutral lipid bilayers made of POPC and POPE in a 9:1 molar ratio was investigated by solid-state NMR. This fragment and the lipid composition were selected because they represent the minimum requirement for the fusogenic activity of the Alzheimer's peptide. The chemical shifts of alanine methyl isotropic carbon were determined by MAS NMR, and they clearly demonstrated that the major form of the peptide equilibrated in membrane is not in a helical conformation. (2)H NMR, performed with acyl chain deuterated POPC, demonstrated that there is no perturbation of the acyl chain's dynamics and of the lipid phase transition temperature. (2)H NMR, performed with alanine methyl-deuterated peptide demonstrated that the peptide itself has a limited mobility below and above the lipid phase transition temperature (molecular order parameter equal to 0.94). MAS (31)P NMR revealed a specific interaction with POPE polar head as seen by the enhancement of POPE phosphorus nuclei T(2) relaxation. All these results are in favor of a beta-sheet oligomeric association of the peptide at the bilayer interface, preferentially recruiting phosphatidyl ethanolamine polar heads.