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At least 307 records · Page 17Linked to original sources

PubMed2002

Structural modeling of contrast sensitivity in adulthood.

Structural equation modeling was used to assess the utility of the sensorineural model of contrast sensitivity proposed by Sekuler et al. [Vision Res. 24, 689 (1984)] to account for spatial vision in adulthood. In Study 1, visual acuity and contrast sensitivity (1.5-18 c/deg) were measured in 84 people between the ages of 19 and 81 yr. No three-filter model fitted the data well. Although a two-filter model was associated with good fit indices, parameter estimates for both filters were inconsistent with physiological and behavioral data. In Study 2, acuity and contrast sensitivity (1.5-18 c/deg) were assessed in 95 observers between the ages of 23 and 73 yr. All measures were gathered once per month over a three-month period. The Sekuler et al. three-filter model did not fit the data from any time of measure, but a two-filter, bandpass model provided a consistent and excellent fit for all three waves. The model suggests that age-related change in the neural mechanisms underlying contrast sensitivity is minimal once acuity is controlled. Discrepancies between this conclusion and that reported by Sekuler et al. may be related to test type, psychophysical method, reliability, and sample selection.

Adult↗

PubMed2006

Anatomical structure modeling from medical images.

Some clinical applications, such as surgical planning, require volumetric models of anatomical structures represented as a set of tetrahedra. A practical method of constructing anatomical models from medical images is presented. The method starts with a set of contours segmented from the medical images by a clinician and produces a model that has high fidelity with the contours. Unlike most modeling methods, the contours are not restricted to lie on parallel planes. The main steps are a 3D Delaunay tetrahedralization, culling of non-object tetrahedra, and refinement of the tetrahedral mesh. The result is a high-quality set of tetrahedra whose surface points are guaranteed to match the original contours. The key is to use the distance map and bit volume structures that were created along with the contours. The method is demonstrated on computed tomography, MRI and 3D ultrasound data. Models of 170,000 tetrahedra are constructed on a standard workstation in approximately 10s. A comparison with related methods is also provided.

Algorithms↗

PubMed1985

Structural model for interferons.

Secondary structures of leucocyte alpha 1- and alpha 2-interferons and of fibroblast beta-interferon are calculated using the molecular theory of protein secondary structures. The common secondary structure calculated for alpha- and beta-interferons is used to predict the three-dimensional structures of fragments 1-110 and 111-166 of the chains (which are supposed to be quasi-independent domains). The predicted structure of the active domain I (1-110) is an 'up-and-down' tetrahelical complex (in which the second helix is shorter than the others and can be absent in alpha 1-interferon) similar to the mirror image of myohaemoerythrin. The predicted structure of domain II (111-166) is either a three-stranded beta-sheet screened from one side by two alpha-helices or a three-helical complex (similar to that in the N-domain of papain), the first structure being more consistent with the circular dichroism data of alpha-interferon and its C-end fragment.

Circular Dichroism↗

PubMed1993

Model structures and action of interleukin 1 and its antagonist.

A comparison has been made between the homology and hydrophobicity profiles of six interleukin amino acid sequences and that of the human interleukin 1 beta (IL-1 beta) for which a crystal structure exists. The resulting sequence alignment was used to build model structures for the sequences for three IL-1 alpha, two IL-1 beta and an interleukin receptor antagonist. Analysis of these structures demonstrates that the interleukin molecule has a strong electric dipole which is generated by the topological position of the amino acids in the sequence. Electrostatic surface calculations implicate a particular residues (Lys145) as being fundamental to interleukin activity and this supports site-directed mutation evidence that this residue is required for activity.

Amino Acid Sequence↗

PubMed1992

Terminating a macromolecular helix. Structural model for the minor proteins of bacteriophage M13.

Analysis of the results of X-ray diffraction, electron microscopy and s sequence studies of filamentous bacteriophage M13 are used to construct structural models for the minor proteins gp7 and gp9 at the end of the virus assembled first, and a portion of gp6 at the end of the virus that binds host. Comparison of the sequence of the major coat protein, gp8, with those of gp7, gp9 and gp6 indicates that significant portions of these three proteins have sequences similar to that of gp8. Assuming that sequence similarity is indicative of structural similarity, gp7, gp9 and portions of gp6 are modeled based on what is known about the structure of gp8. These molecular models are analyzed to predict the packing of the minor proteins with the terminal gp8 proteins (the last gp8 proteins at either end of the helix). This analysis indicates that the gp8 proteins integrated into the virus first may have a structure distinct from those in the body of the virus particle. The gp8 proteins at the end assembled last appear to have a conformation very similar to that of the integral coat proteins. These models place specific constraints on models for the process of viral assembly.

Amino Acid Sequence↗

PubMed1997

An age-structured model for pertussis transmission.

The vaccination program for pertussis (whooping cough) in the United States consists of giving multiple doses of pertussis vaccine to young children. A demographic model with a steady-state age distribution is used as a basis for building an epidemiologic model for the transmission of pertussis. This age-structured model includes vaccination of infants and children for pertussis with waning of both infection-acquired and vaccine-induced immunity. Computer simulations of the mathematical model between 1940 and 2040 show the changes that took place during the implementation phase of the U.S. program and predict only minor future changes in the age distribution and incidence of pertussis if the vaccination program is maintained at the 1995 level. The sensitivities of these results to changes in demographic and epidemiologic parameters, vaccine efficacy, duration of protection, and levels of vaccination coverage are investigated.

Adolescent↗

PubMed1998

Large-scale protein structure modeling of the Saccharomyces cerevisiae genome.

The function of a protein generally is determined by its three-dimensional (3D) structure. Thus, it would be useful to know the 3D structure of the thousands of protein sequences that are emerging from the many genome projects. To this end, fold assignment, comparative protein structure modeling, and model evaluation were automated completely. As an illustration, the method was applied to the proteins in the Saccharomyces cerevisiae (baker's yeast) genome. It resulted in all-atom 3D models for substantial segments of 1,071 (17%) of the yeast proteins, only 40 of which have had their 3D structure determined experimentally. Of the 1,071 modeled yeast proteins, 236 were related clearly to a protein of known structure for the first time; 41 of these previously have not been characterized at all.

Fungal Proteins↗

PubMed2001

A proposed structural model for amyloid fibril elongation: domain swapping forms an interdigitating beta-structure polymer.

We propose a model illustrating how proteins, which differ in their overall sequences and structures, can form the propagating, twisted beta-sheet conformations, characteristic of amyloids. Some cases of amyloid formation can be explained through a "domain swapping" event, where the swapped segment is either a beta-hairpin or an unstable conformation which can partially unfold and assume a beta-hairpin structure. As in domain swapping, here the swapped beta-hairpin is at the edge of the structure, has few (if any) salt bridges and hydrogen bonds connecting it to the remainder of the structure and variable extents of buried non-polar surface areas. Additionally, in both cases the swapped piece constitutes a transient "building block" of the structure, with a high population time. Whereas in domain swapping the swapped fragment has been shown to be an alpha-helix, loop, strand or an entire domain, but so far not a beta-hairpin, despite the large number of cases in which it was already detected, here swapping may involve such a structural motif. We show how the swapping of beta-hairpins would form an interdigitated, twisted beta-sheet conformation, explaining the remarkable high stability of the protofibril in vitro. Such a swapping mechanism is attractive as it involves a universal mechanism in proteins, critical for their function, namely hinge-bending motions. Our proposal is consistent with structural superpositioning of mutational variants. While the overall r.m.s.d.s of the wild-type and mutants are small, the proposed hinge-bending region consistently shows larger deviations. These larger deviations illustrate that this region is more prone to respond to the mutational changes, regardless of their location in the sequence or in the structure. Nevertheless, above all, we stress that this proposition is hypothetical, since it is based on assumptions lacking definitive experimental support.

Amyloid↗

PubMed2004

A structural model of the plant acyl-acyl carrier protein thioesterase FatB comprises two helix/4-stranded sheet domains, the N-terminal domain containing residues that affect specificity and the C-terminal domain containing catalytic residues.

Plant acyl-acyl carrier protein thioesterases (TEs) terminate the acyl-acyl carrier protein track of fatty acid biosynthesis and play an essential role in determining the amount and composition of fatty acids entering the storage lipid pool. A combination of bioinformatics tools was used to predict a three-dimensional model for Arabidopsis FatB (AtFatB), which comprises a fold similar to that of Escherichia coli TEII, an enzyme that is functionally similar to plant TEs but lacks significant sequence similarity and displays different inhibitor sensitivity. The catalytic residues in AtFatB, Cys-264 and His-229, localize to the same region of the model as catalytic residues found in other enzymes with helix/multi-stranded sheet motifs (hot dog folds). Based on the model, we identified Asn-227 as a possible third member of the proposed papain-like catalytic triad. The conversion of Asn-227 to Ala resulted in a loss of detectable activity (>200-fold reduction), similar to the result seen for the equivalent mutation in papain. Mapping of plant TE specificity-affecting mutations onto the structural model showed that these mutations all cluster around the catalytic triad. Also, superposition of the crystallographically determined structures of the complexes of 4-hydroxybenzoyl-CoA TE with substrate and beta-hydroxydecanoyl thiol ester dehydrase with inhibitor onto the AtFatB model showed that the substrate and inhibitor localize to the same region as the AtFatB catalytic triad in their respective structures. Together these data corroborate the structural model and show that the hot dog fold is common to enzymes from both prokaryotes and eukaryotes and that this fold supports at least three different catalytic mechanisms.

Amino Acid Sequence↗

PubMed1990

Uncertainties in pharmacokinetic modeling for perchloroethylene. I. Comparison of model structure, parameters, and predictions for low-dose metabolism rates for models derived by different authors.

In recent years physiologically based pharmacokinetic models have come to play an increasingly important role in risk assessment for carcinogens. The hope is that they can help open the black box between external exposure and carcinogenic effects to experimental observations, and improve both high-dose to low-dose and interspecies projections of risk. However, to date, there have been only relatively preliminary efforts to assess the uncertainties in current modeling results. In this paper we compare the physiologically based pharmacokinetic models (and model predictions of risk-related overall metabolism) that have been produced by seven different sets of authors for perchloroethylene (tetrachloroethylene). The most striking conclusion from the data is that most of the differences in risk-related model predictions are attributable to the choice of the data sets used for calibrating the metabolic parameters. Second, it is clear that the bottom-line differences among the model predictions are appreciable. Overall, the ratios of low-dose human to bioassay rodent metabolism spanned a 30-fold range for the six available human/rat comparisons, and the seven predicted ratios of low-dose human to bioassay mouse metabolism spanned a 13-fold range. (The greater range for the rat/human comparison is attributable to a structural assumption by one author group of competing linear and saturable pathways, and their conclusion that the dangerous saturable pathway constitutes a minor fraction of metabolism in rats.) It is clear that there are a number of opportunities for modelers to make different choices of model structure, interpretive assumptions, and calibrating data in the process of constructing pharmacokinetic models for use in estimating "delivered" or "biologically effective" dose for carcinogenesis risk assessments. We believe that in presenting the results of such modeling studies, it is important for researchers to explore the results of alternative, reasonably likely approaches for interpreting the available data--and either show that any conclusions they make are relatively insensitive to particular interpretive choices, or to acknowledge the differences in conclusions that would result from plausible alternative views of the world.

Animals↗

PubMed2005

Development of a structural model explaining medication compliance of persons with schizophrenia.

The purpose of this study was to develop and test a structural model explaining medication compliance of schizophrenia. From a review of the literature, a hypothetical model was developed based on the conceptual framework of the Health Belief Model with medication knowledge, symptom severity and social support as the exogenous variables, and perceived benefits, perceived barriers, substance use and medication compliance as the endogenous variables. Data was collected at various mental health facilities, including psychiatric outpatient clinics of general hospitals and community mental health centers, between March and May, 2001. A structured questionnaire was used by one- on- one interviews to collect data on 208 schizophrenic patients. Well established measurement instruments, with confirmed reliability, were used to assess each method variable. As a result of covariance structural analysis, the hypothetical model was found not to fit the empirical data well, so a parsimonious model was adopted after modifying the model. The final model was able to explain the 33 % medication compliance. Medication knowledge, social support and perceived benefits had significant effects on medication compliance. The findings of this study address the importance of medication education and social support to promote medication compliance. It is also suggested that various education programs and support groups are needed to enhance medication compliance.

Adult↗

PubMed2000

Building 3D-structural model of kappa opioid receptor and studying its interaction mechanism with dynorphin A(1-8).

AIM: To construct the 3D-structural model of human kappa opioid receptor (HKOR) and study its interacting mechanism with dynorphin A(1-8) (Dyn8). METHODS: Comparative molecular modeling was applied to build the 7 transmembrane (TM) helical domain of HKOR using the bovine rhodopsin (OPSD) model as a template. Molecular dynamics was performed to minimize the HKOR model and to simulate the 3D-structure of Dyn8 based on the NMR results of dynorphin A(1-14). The extracellular loops (EL) were built by self-constructed database searching. DOCK4.0 program was performed to construct Dyn8 complex with HKOR. RESULTS: (1) The model of HKOR was obtained and validated by theoretical and experimental data. (2) The Dyn8-HKOR interacting mechanism is reasonably explained: Side chain of residue Asp138 interacts with protonated nitrogen atom at the N-terminal residues of Dyn8 through electrostatic and hydrogen bonding, which play an important role in ligand binding with receptor. (3) Negatively charged amino acids in the second extracellular loop (EL2) as Asp223 and Glu209 interact with the C-terminal positively charged residues in Dyn8, and Glu209 is a likely determinant of peptide ligand specificity. CONCLUSION: Some amino acid residues positioned in EL2, TM3, TM4, and TM5 form the binding site and therefore determine the selectivity of kappa peptide agonist.

Amino Acid Sequence↗

PubMed2006

A structural model for the flexural mechanics of nonwoven tissue engineering scaffolds.

The development of methods to predict the strength and stiffness of biomaterials used in tissue engineering is critical for load-bearing applications in which the essential functional requirements are primarily mechanical. We previously quantified changes in the effective stiffness (E) of needled nonwoven polyglycolic acid (PGA) and poly-L-lactic acid (PLLA) scaffolds due to tissue formation and scaffold degradation under three-point bending. Toward predicting these changes, we present a structural model for E of a needled nonwoven scaffold in flexure. The model accounted for the number and orientation of fibers within a representative volume element of the scaffold demarcated by the needling process. The spring-like effective stiffness of the curved fibers was calculated using the sinusoidal fiber shapes. Structural and mechanical properties of PGA and PLLA fibers and PGA, PLLA, and 50:50 PGA/PLLA scaffolds were measured and compared with model predictions. To verify the general predictive capability, the predicted dependence of E on fiber diameter was compared with experimental measurements. Needled nonwoven scaffolds were found to exhibit distinct preferred (PD) and cross-preferred (XD) fiber directions, with an E ratio (PD/XD) of approximately 3:1. The good agreement between the predicted and experimental dependence of E on fiber diameter (R2 = 0.987) suggests that the structural model can be used to design scaffolds with E values more similar to native soft tissues. A comparison with previous results for cell-seeded scaffolds (Engelmayr, G. C., Jr., et al., 2005, Biomaterials, 26(2), pp. 175-187) suggests, for the first time, that the primary mechanical effect of collagen deposition is an increase in the number of fiber-fiber bond points yielding effectively stiffer scaffold fibers. This finding indicated that the effects of tissue deposition on needled nonwoven scaffold mechanics do not follow a rule-of-mixtures behavior. These important results underscore the need for structural approaches in modeling the effects of engineered tissue formation on nonwoven scaffolds, and their potential utility in scaffold design.

Biocompatible Materials↗

PubMed2003

Sites for interaction between Gal80p and Gal1p in Kluyveromyces lactis: structural model of galactokinase based on homology to the GHMP protein family.

The induction of transcription of the galactose genes in yeast involves the galactose-dependent binding of ScGal3p (in Saccharomyces cerevisiae) or KlGal1p (in Kluyveromyces lactis) to Gal80p. This binding abrogates Gal80's inhibitory effect on the activation domain of Gal4p, which can then activate transcription. Here, we describe the isolation and characterization of new interaction mutants of K.lactis GAL1 and GAL80 using a two-hybrid screen. We present the first structural model for Gal1p to be based on the published crystal structures of other proteins belonging to the GHMP (galactokinase, homoserine kinase, mevalonate kinase and phosphomevalonate kinase) kinase family and our own X-ray diffraction data of Gal1p crystals at 3A resolution. The locations of the various mutations in the modelled Gal1p structure identify domains involved in the interaction with Gal80p and provide a structural explanation for the phenotype of constitutive GAL1 mutations.

Amino Acid Sequence↗

PubMed1996

Functional implications of the modeled structure of maspin.

The tumor suppressor maspin (mammary-specific serpin) is an unstable serpin that does not undergo the stressed to relaxed transition typical of proteinase inhibitory serpins and, consequently, is not likely to function as a serine proteinase inhibitor. This suggests that the positioning and configuration of the reactive site loop (RSL) of maspin are likely to resemble those of ovalbumin, the best studied non-inhibitory serpin. Accordingly, the tertiary structure of maspin has been modeled on the crystal structure of native ovalbumin. Biochemical data and the modeled theoretical structure of maspin reveal the absence of disulfide bonds in the molecule and the presence of an unstable RSL that adopts a distorted helical structure. We confirm that the RSL is extremely sensitive to limited proteolysis and suggest that this may provide a structural basis for the proteolytic inactivation of maspin, a process that is likely to modulate the activity of maspin in biological systems.

Amino Acid Sequence↗

PubMed1996

Secondary structure model for the first three domains of Q beta RNA. Control of A-protein synthesis.

We present a secondary structure model for the first 860 nucleotides of Q beta RNA. The model is supported by phylogenetic comparison, nuclease S1 structure probing and computer prediction using energy minimization and a Monte Carlo approach. To provide the necessary data for the comparative analysis we have sequenced the single-stranded RNA coliphages MX1, M11 and NL95. Together with the known sequences of Q beta and SP, this yields five sequences with sufficient sequence diversity to be useful for the analysis. The part of the Q beta genome examined contains the 60 nucleotide 5' untranslated region and the first 800 nucleotide of the maturation protein gene. The RNA adopts a highly ordered structure in which all hairpins are held in place by a network of long-distance interactions, which form three-way and four-way junctions. Only the 5'-terminal hairpin is unrestrained, while connected by a few single-stranded nucleotides to the body of the RNA. The start region of the A-protein gene, which is part of the network of long-distance interactions, is base-paired to three non-contiguous downstream sequences. As a result, translation is expected to be progressively quenched when the length of the nascent chains increases. This feature explains the previous observation that A-protein synthesis on Q beta RNA can start only on short nascent strands. Translational control of the A protein in the distantly related phage MS2 was recently shown to be controlled by the kinetics of RNA folding. This basic difference and its possible biological purpose can be explained by the different RNA folding pathways in Q beta and MS2. Interestingly, due to the presence of G-U pairs, structure prediction for the minus strand differs in some aspects from that for the plus strand. More specifically, there is a minus-strand specific, long-distance interaction bordering the minus-strand equivalent of the 5'-terminal hairpin. This interaction extends at the expense of the lower part of the terminal helix, thereby exposing the terminal C residues at which replication starts. This long-distance interaction, which was recently shown to be required for minus-strand replication, is strongly supported by our comparative data.

Allolevivirus↗

PubMed2003

Enlarged FAMSBASE: protein 3D structure models of genome sequences for 41 species.

Enlarged FAMSBASE is a relational database of comparative protein structure models for the whole genome of 41 species, presented in the GTOP database. The models are calculated by Full Automatic Modeling System (FAMS). Enlarged FAMSBASE provides a wide range of query keys, such as name of ORF (open reading frame), ORF keywords, Protein Data Bank (PDB) ID, PDB heterogen atoms and sequence similarity. Heterogen atoms in PDB include cofactors, ligands and other factors that interact with proteins, and are a good starting point for analyzing interactions between proteins and other molecules. The data may also work as a template for drug design. The present number of ORFs with protein 3D models in FAMSBASE is 183 805, and the database includes an average of three models for each ORF. FAMSBASE is available at http://famsbase.bio.nagoya-u.ac.jp/famsbase/.

Animals↗

PubMed2005

A structural model of a seven-transmembrane helix receptor: the Duffy antigen/receptor for chemokine (DARC).

The Duffy antigen/receptor for chemokine (DARC) is an erythrocyte receptor for malaria parasites (Plasmodium vivax and Plasmodium knowlesi) and for chemokines. In contrast to other chemokine receptors, DARC is a promiscuous receptor that binds chemokines of both CC and CXC classes. The four extracellular domains (ECDs) of DARC are essential for its interaction with chemokines, whilst the first (ECD1) is sufficient for the interaction with malaria erythrocyte-binding protein. In this study, we elaborate and analyze structural models of the DARC. The construction of the 3D models is based on a comparative modeling process and on the use of many procedures to predict transmembrane segments and to detect far homologous proteins with known structures. Threading, ab initio, secondary structure and Protein Blocks approaches are used to build a very large number of models. The conformational exploration of the ECDs is performed with simulated annealing. The second and fourth ECDs are strongly constrained. On the contrary, the ECD1 is highly flexible, but seems composed of three consecutive regions: a small beta-sheet, a linker region and a structured loop. The chosen structural models encompass most of the biochemical features and reflect the known experimental data. They may be used to analyze functional interaction properties.

Amino Acid Sequence↗