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Structural models of the photointermediates in the rhodopsin photocascade, lumirhodopsin, metarhodopsin I, and metarhodopsin II.

Model building of the two photointermediates, lumirhodopsin and metarhodopsin I, and the activated form of rhodopsin, metarhodopsin II, is described. An outward swing of the C-terminal portion of transmembrane segment 3, pivoting on Cys110 at the N-terminal end of transmembrane segment 3, led to structural models of lumirhodopsin and metarhodopsin I. The conformation of the chromophore in the lumirhodopsin and metarhodopsin I models is controlled by the motion of transmembrane segment 3 and agreed closely with the hydrogen-bonding states of the protonated Schiff base in lumirhodopsin and metarhodopsin I as deduced from their FTIR and resonance Raman spectra and with the negative and positive CD bands of lumirhodopsin and metarhodopsin I, respectively. The structure of metarhodopsin II was constructed by an outward swing of transmembrane segment 3 and the rigid-body motion of transmembrane segment 6. The arrangement of the entire transmembrane segment of the metarhodopsin II model closely agreed with the electron paramagnetic resonance spectra of spin-labeled rhodopsin mutants and provided a structural basis for the protonation of Glu134, which is a key process in transducin activation.

Animals↗

Amyloid fibril structure modeling using protein threading and molecular dynamics simulations.

The elucidation of the structure of amyloid fibrils is an important step toward understanding the mechanism of amyloid formation and developing new reagents that could inhibit fibril formation. Here we describe an approach to modeling amyloid fibril structures using computational techniques, including protein threading and molecular dynamics simulations. Specifically, we introduce these methods using Abeta amyloid fibril modeling as an example. First, the amyloid protein sequence is threaded against a set of structural templates. Structural models are generated on the basis of threading alignments and are then subjected to molecular dynamic simulations to assess the stabilities of the model.

Amyloid beta-Peptides↗

Membrane heparan sulfate proteoglycan-supported FGF2-FGFR1 signaling: evidence in support of the "cooperative end structures" model.

Fibroblast growth factor 2 (FGF2)-initiated FGF receptor (FGFR)-signaling requires the assistance of heparin/heparan sulfate. Here, we evaluated the effects of different heparan sulfate proteoglycan (HSPG)-expressing cell lines and HSPGs derived from these cells on FGF2-induced FGFR1-phosphorylation in heparan sulfate-negative BaF3 cells. HSPGs supplied in membrane-associated form, by presenting cells, were all effective promotors of FGF2-initiated FGFR1 phosphorylation, independently of their nature (syndecan/glypican) or cellular origin (human lung fibroblasts, transfected Namalwa cells, or transfected K562 cells). A treatment with heparitinase initially stimulated, but finally completely inhibited, the activity of these presenting cells. In comparison, equivalent amounts of soluble HSPGs, obtained by trypsinization of these cells or by immunopurification from cell extracts, did not promote FGF2-induced FGFR1-phosphorylation, yet removal of the less anionic species or a further treatment with heparitinase converted these soluble fractions into potent activators of FGF2/FGFR1 signaling. Extrapolating from current structural models, we suggest that FGFR dimerization and autophosphorylation is supported by cooperative "heparin-like end structures," and that cell surface association and concentration compensate for the relative scarcity of such end structures in native HSPGs. In this model, "proteolytic" shedding of heparan sulfate would act as a diluting, down-regulatory mechanism, while "heparanolytic" shedding might act as an up-regulatory mechanism, by increasing the concentration of these end structures.

Fibroblast Growth Factor 2↗

Transcriptional regulation and structural modelling of the Synechocystis sp. PCC 6803 carboxyl-terminal endoprotease family.

The Synechocystis sp. PCC 6803 ctp gene family members ctpA (slr0008), ctpB (slr0257) and ctpC (slr1751), encoding carboxyl-terminal endoproteases (Ctps), were studied at levels of gene transcription and protein structure. Northern blot analysis revealed differential activation and accumulation of the ctp transcripts upon induction of various environmental conditions, including light, temperature, salinity and growth mode, supporting the view of distinct roles of Ctps in Synechocystis sp. PCC 6803 cellular processes. Amino acid sequence comparison of 16 ctp gene products showed that they fall into three distinct groups: the eukaryotic CtpA-like proteins, the prokaryotic CtpA-like proteins and the prokaryotic CtpB/C-like proteins. Structural models of the Synechocystis sp. PCC 6803 Ctps, constructed based on the amino acid sequence alignment and the crystal structure of the Scenedesmus obliquus D1 processing protease, revealed that although the overall structure of the Synechocystis sp. PCC 6803 Ctps is very similar, differences exist in the putative membrane contact regions and in the active site environment.

Amino Acid Sequence↗

NMR-driven secondary and tertiary structure model of Ca2+-loaded calexcitin.

Calexcitin (CE) is a Ca2+-binding protein which is expressed in neuronal cells and is a member of the sarcoplasmic Ca2+-binding protein subfamily. The peptide backbone of Ca2+-CE has been assigned by NMR and it shows that CE is composed of nine alpha-helices-forming four EF-hands and an additional helix near the C-terminus. A structural model of CE suggests the presence of a putative recessed hydrophobic pocket that may be involved in Ca2+-mediated protein-ligand interactions. This feature is unique to CE and is absent in other SCPs, such as those from Branchiostoma and Nereis, and from calerythrin.

Binding Sites↗

3D structure model of the principal neutralizing epitope of Minnesota HIV-1 isolate.

A hierarchical procedure, using a "bottom-up" strategy and combining (i). a probabilistic approach for estimating all possible starting structures, (ii). restrained molecular mechanics algorithms for preliminary selection of all energetically preferred conformers, as well as (iii). quantum chemical computations for refining their geometry, was used to study the structural properties of the HIV-MN neutralizing epitope in terms of NMR spectroscopy data. As a result, only one of initial structures matching the experimental and theoretical data was found to be well-ground for implementing the function of immunoreactive conformation of the virus immunogenic crown. The geometric parameters of this structure in water solution were shown to correspond to a double beta-turn conformation similar to that revealed in crystal for synthetic molecules imitating the central region of the HIV-MN V3 loop. The following conclusion was drawn from the comparative analysis of simulated structure with the one computed previously: the HIV-MN immunogenic tip has some inherent conformational flexibility that manifests at the alterations of hexapeptide environment and leads to the structural transitions changing the local conformation of the stretch of interest but retaining its spatial main chain fold. As a matter of record, the high resolution 3D structure model for the HIV-MN principal neutralization site was constructed, and its geometric parameters were compared with the corresponding characteristics of conformers derived earlier for describing the conformational features of immunogenic tip of gp120 from Thailand HIV-1 isolate.

Epitopes↗

Threading structural model of the manganese-stabilizing protein PsbO reveals presence of two possible beta-sandwich domains.

The manganese-stabilizing protein (PsbO) is an essential component of photosystem II (PSII) and is present in all oxyphotosynthetic organisms. PsbO allows correct water splitting and oxygen evolution by stabilizing the reactions driven by the manganese cluster. Despite its important role, its structure and detailed functional mechanism are still unknown. In this article we propose a structural model based on fold recognition and molecular modeling. This model has additional support from a study of the distribution of characteristics of the PsbO sequence family, such as the distribution of conserved, apolar, tree-determinants, and correlated positions. Our threading results consistently showed PsbO as an all-beta (beta) protein, with two homologous beta domains of approximately 120 amino acids linked by a flexible Proline-Glycine-Glycine (PGG) motif. These features are compatible with a general elongated and flexible architecture, in which the two domains form a sandwich-type structure with Greek key topology. The first domain is predicted to include 8 to 9 beta-strands, the second domain 6 to 7 beta-strands. An Ig-like beta-sandwich structure was selected as a template to build the 3-D model. The second domain has, between the strands, long-loops rich in Pro and Gly that are difficult to model. One of these long loops includes a highly conserved region (between P148 and P174) and a short alpha-helix (between E181 and N188)). These regions are characteristic parts of PsbO and show that the second domain is not so similar to the template. Overall, the model was able to account for much of the experimental data reported by several authors, and it would allow the detection of key residues and regions that are proposed in this article as essential for the structure and function of PsbO.

Algorithms↗

Nonparametric block-structured modeling of lung tissue strip mechanics.

Very large amplitude pseudorandom uniaxial perturbations containing frequencies between 0.125 and 12.5 Hz were applied to five dog lung tissue strips. Three different nonlinear block-structured models in nonparametric form were fit to the data. These models consisted of (1) a static nonlinear block followed by a dynamic linear block (Hammerstein model); (2) the same blocks in reverse order (Wiener model); and (3) the blocks in parallel (parallel model). Both the Hammerstein and Wiener models performed well for a given input perturbation, each accounting for greater than 99% of the measured stress signal variance. However, the Wiener and parallel model parameters showed some dependence on the strain amplitude and the mean stress. In contrast, a single Hammerstein model accounted for the data at all strain amplitudes and operating stresses. A Hammerstein model featuring a fifth-order polynomial static nonlinearity and a linear impulse response function of 1 s duration accounted for the most output variance (99.84%+/-0.13%, mean+/-standard deviations for perturbations of 50% strain at 1.5 kPa stress). The static nonlinear behavior of the Hammerstein model also matched the quasistatic stress-strain behavior obtained at the same strain amplitude and operating stress. These results show that the static nonlinear behavior of the dog lung tissue strip is separable from its linear dynamic behavior.

Animals↗

A structural model for the large subunit of the mammalian mitochondrial ribosome.

Protein translation is essential for all forms of life and is conducted by a macromolecular complex, the ribosome. Evolutionary changes in protein and RNA sequences can affect the 3D organization of structural features in ribosomes in different species. The most dramatic changes occur in animal mitochondria, whose genomes have been reduced and altered significantly. The RNA component of the mitochondrial ribosome (mitoribosome) is reduced in size, with a compensatory increase in protein content. Until recently, it was unclear how these changes affect the 3D structure of the mitoribosome. Here, we present a structural model of the large subunit of the mammalian mitoribosome developed by combining molecular modeling techniques with cryo-electron microscopic data at 12.1A resolution. The model contains 93% of the mitochondrial rRNA sequence and 16 mitochondrial ribosomal proteins in the large subunit of the mitoribosome. Despite the smaller mitochondrial rRNA, the spatial positions of RNA domains known to be involved directly in protein synthesis are essentially the same as in bacterial and archaeal ribosomes. However, the dramatic reduction in rRNA content necessitates evolution of unique structural features to maintain connectivity between RNA domains. The smaller rRNA sequence also limits the likelihood of tRNA binding at the E-site of the mitoribosome, and correlates with the reduced size of D-loops and T-loops in some animal mitochondrial tRNAs, suggesting co-evolution of mitochondrial rRNA and tRNA structures.

Animals↗

Where plants make oxygen: a structural model for the photosynthetic oxygen-evolving manganese cluster.

In the photosynthetic evolution of oxygen, water oxidation occurs at a catalytic site that includes four manganese atoms together with the essential cofactors, the calcium and chlorine ions. A structural model and a determination of the manganese oxidation states based on x-ray absorption spectroscopy are presented. The salient features, in both higher plants and cyanobacteria, are a pair of di-mu-oxo bridged manganese binuclear clusters linked by a mono-mu-oxo bridge, one proximal calcium atom, and one halide. In dark-adapted samples, manganese occurs in oxidation states (III) and (IV). Data from oriented membranes display distinct dichroism, precluding highly symmetrical structures for the manganese complex.

Bridged-Ring Compounds↗

Secondary structure model for the last two domains of single-stranded RNA phage Q beta.

We have determined the nucleotide sequence of three positive single-stranded RNA coliphages and have used this information, together with the known sequences of the related phages Q beta and SP, to construct a secondary structure model for the two distal domains of Q beta RNA. The 3' terminal domain, which is about 100 nucleotides long, contains most of the 3' untranslated region and folds into four short, regular hairpins. The adjacent 3' replicase domain contains about 1100 nucleotides. Hairpins in this protein-coding domain are much longer and more irregular than in the 3' untranslated region. Both domains are defined by long-distance interactions. The secondary structure is not a collection of hairpin structures connected by single-stranded regions. Rather, the RNA stretches between the stem-loop structures are all involved in an extensive array of long-distance interactions that contract the molecule to a rigid structure in which all hairpins are predicted to have a fixed position with respect to each other. A general feature of the model is that helices tend to be organized in four-way junctions with little or no unpaired nucleotides between them. As a result, there is a potential for coaxial stacking of adjacent stems. The essential features of the model are supported by the S1 nuclease cleavage pattern. Viral RNA sequences are strongly constrained by their coding function. As a result, structural evolution by simple base-pair substitution is not always possible, as this usually requires the juxtaposition of the codon wobble positions in stems. Rather, we often observe co-ordinate base substitutions that maintain the stem, but tend to change the position at which bulges or internal loops are found. Structures that differ in this way are apparently equally fit. Also, the relative position of hairpin loops can shift several nucleotides through an alignment based on maximal sequence identity i.e. amino acid homology. The fact that these structural irregularities do not occur at the 3' untranslated region suggests indeed that the coding function of the RNA constrains the secondary structure. Hairpins with the stable tetraloop motif GNRA and UNCG or their complement are over-represented. This suggests their involvement in segregation of plus and minus strand. The genome of the coliphages contains a well-defined high affinity binding site for the coat protein, which serves to suppress replicase translation and also acts as a nucleation point in capsid formation. Close to the 3' end we find an additional conserved helix that meets the described consensus criteria for coat-protein binding.

Allolevivirus↗

Combining electron microscopy and comparative protein structure modeling.

Recently, advances have been made in methods and applications that integrate electron microscopy density maps and comparative modeling to produce atomic structures of macromolecular assemblies. Electron microscopy can benefit from comparative modeling through the fitting of comparative models into electron microscopy density maps. Also, comparative modeling can benefit from electron microscopy through the use of intermediate-resolution density maps in fold recognition, template selection and sequence-structure alignment.

Cryoelectron Microscopy↗

Synthesis and structural modeling of the amphiphilic siderophore rhizobactin-1021 and its analogs.

We describe two convenient syntheses of rhizobactin-1021 (Rz), a citrate-based siderophore amphiphile produced by the nitrogen-fixing root symbiont Rhizobium meliloti-1021, and several analogs. Our approach features a singly amidated, tert-butyl-protected citrate intermediate that easily affords a variety of Rz analogs in the late stages of the synthesis. Structural modeling and the monolayer behavior of Rz and its metal complexes are consistent with a structural reorganization upon Rz-mediated iron chelation.

Alkenes↗

An age-structured model with delay mortality.

Many species experience aperiodic mortality. Yet, there is little or no understanding of how this event affects population dynamics. We have considered one of the most simple class of age-structured models, namely, the MacKendrick Von Foerster type equations with suitable modifications to suit the purpose of this study. The main result shows the effect of delay in the estimate of the population. If the delay parameter is taken as a period, then the model equations describe the dynamics of seasonal insects such as locusts whose large population decreases very fast.

Age Factors↗

Nurses' cognitive structural models of work-based stress.

This study examined the causes of stress experienced by National Health Service nurses in England over the course of a single week with the aim of generating a cognitive structural model. Qualitative data served as the foundation of a network study which employed inductive eliminative analysis. These data were also analysed using conventional qualitative methods and by content analysis. The results were consistent with previous studies that identified a number of primary sources of stress. However, the network study indicated that two systems of causation were operating. The first centres on inadequate staffing levels, which were seen as leading to poor attitudes and abilities among colleagues, multiple work roles and lack of support. Lack of support also contributed to powerlessness and poor attitudes and abilities. The behaviour of managers was strongly endorsed as a direct cause of stress, but the strongest explanatory link was through staffing levels and powerlessness. The second system of causation related patients' suffering to stress. The qualitative data validated the network study results through elaborating the understanding of the respondents' nominated causes. Discussion focused on the pressure and frustration experienced by nurses because of organizational factors and interaction effects with the caring nature of nursing work. It is suggested that nursing discourse is subordinated to managerial and biomedical discourse reflecting the relative powerlessness of nurses. The extent to which such powerlessness is primarily a result of the failure of nurses to assert themselves or intrinsic organizational factors is not clear. The consequences of a stressed and demoralized nursing workforce on the quality of patient care and risk profile are identified as the focus for future research.

Cognition↗

Structural models of the transmembrane region of voltage-gated and other K+ channels in open, closed, and inactivated conformations.

A large collaborative, multidisciplinary effort involving many research laboratories continues which uses indirect methods of molecular biology and membrane biophysics to analyze the three-dimensional structures and functional mechanisms of K+ channels. This work also extends to the distant relatives of these channels, including the voltage-gated Na+ and Ca2+ channels. The role that our group plays in this process is to combine the information gained from experimental studies with molecular modeling techniques to generate atomic-scale structural models of these proteins. The modeling process involves three stages which are summarized as: (I) prediction of the channel sequence transmembrane topology, including the functionality and secondary structure of the segments; (II) prediction of the relative positions of the transmembrane segments, and (III) filling in all atoms of the amino acid residues, with conformations for energetically stabilized interactions. Both physiochemical and evolutionary principles (including sequence homology analysis) are used to guide the development. In addition to testing the steric and energetic feasibilities of different structural hypotheses, the models provide guidance for the design of new experiments. Structural modeling also serves to "fill in the gaps" of experimental data, such as predicting additional residue interactions and conformational changes responsible for functional processes. The modeling process is currently at the stage that experimental studies have definitely confirmed most of our earlier predictions about the transmembrane topology and functionality of different segments. Additionally, this report describes the detailed, three-dimensional models we have developed for the entire transmembrane region and important functional sites of the voltage-gated Shaker K+ channel in the open, closed, and inactivated conformations (including the ion-selective pore and voltage-sensor regions). As part of this effort, we also describe how our development of structural models for many of the other major K+ channel families aids in determining common structural motifs. As an example, we also present a detailed model of the smaller, bacterial K+ channel from Streptomyces lividans. Finally, we discuss strategies for using newly developed experimental methods for determining the structures and analyzing the functions of these channel proteins.

Amino Acid Sequence↗

Comparative protein structure modeling of genes and genomes.

Comparative modeling predicts the three-dimensional structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure (templates). The prediction process consists of fold assignment, target-template alignment, model building, and model evaluation. The number of protein sequences that can be modeled and the accuracy of the predictions are increasing steadily because of the growth in the number of known protein structures and because of the improvements in the modeling software. Further advances are necessary in recognizing weak sequence-structure similarities, aligning sequences with structures, modeling of rigid body shifts, distortions, loops and side chains, as well as detecting errors in a model. Despite these problems, it is currently possible to model with useful accuracy significant parts of approximately one third of all known protein sequences. The use of individual comparative models in biology is already rewarding and increasingly widespread. A major new challenge for comparative modeling is the integration of it with the torrents of data from genome sequencing projects as well as from functional and structural genomics. In particular, there is a need to develop an automated, rapid, robust, sensitive, and accurate comparative modeling pipeline applicable to whole genomes. Such large-scale modeling is likely to encourage new kinds of applications for the many resulting models, based on their large number and completeness at the level of the family, organism, or functional network.

Animals↗

Estimation of the proliferation and maturation functions in a physiologically structured model of thymocyte development. Function estimation in thymocyte model.

The thymus provides a stable microenvironment for post-natal thymocyte development that is finely regulated by a complicated network of cytokines, chemokines, cell-cell contacts, etc., the dysregulations of which contribute to many immunologic diseases including malignant lymphomas. A physiologically structured model in the form of first order partial differential equation (PDE) was developed to simulate the whole process. The combined effects of the thymic microenvironment were conceptualized into two (proliferation and differentiation) fields to serve as kernels of the PDE. In this paper, a novel method is developed to estimate the maturity-time structures of the two fields based solely on cell population data that are experimentally viable. Numerical examples demonstrate the effectiveness of the present method in revealing the two-dimensional (maturity and time) landscapes of the thymic microenvironment.

Algorithms↗