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Implementation of cluster analysis for ab initio phasing using the molecular envelope from solution X-ray scattering.

Solution of the phase problem is central to crystallographic structure determination. The conventional methods of isomorphous replacement (MIR or SIR) and molecular replacement are ineffective in the absence of a suitable isomorphous heavy-atom derivative or knowledge of the structure of a homologous protein. A recent method utilizing the low-resolution molecular shape determined from solution X-ray scattering data has shown to be successful in locating the molecular shape within the crystallographic unit cell in the case of the trimer nitrite reductase (NiR, 105 kDa) [Hao et al. (1999), Acta Cryst. D55, 243-246]. This was achieved by performing a direct real-space search for orientation and translation using knowledge of the orientation of the polar angles of the non-crystallographic axis obtained by performing a self-rotation on crystallographic data. This effectively reduces the potential six-dimensional search to a four-dimensional one (Eulerian angle gamma and three translational parameters). In the case of NiR, the direct four-dimensional search produced a clear solution that was in good agreement with the known structure. The program FSEARCH incorporating this method has been generalized to handle molecules from all space groups and in particular those in possession of non-crystallographic symmetry. However, the method employed was initially unsuccessful when applied to the small dimeric molecule superoxide dismutase (SOD, 32 kDa) owing to the absence of strong reflections at low resolution caused by saturation at the detector. The determined solution deviated greatly from that of the known structure [Hough & Hasnain (1999), J. Mol. Biol. 287, 579-592]. It was found that once these absent reflections were replaced by a series of randomly generated intensity values and cluster analysis was performed on the output, the signal-to-noise ratio was improved and a most probable solution was found. The electron-density map of the stochastically determined solution agrees well with the known structure; the phase error calculated from this map was 67 degrees within 14 A resolution.

Animals↗

Hydrophobic cluster analysis of the primary sequences of alpha-amylases.

The amino acid sequences of 18 alpha-amylases have been compared by hydrophobic cluster analysis. The method was first calibrated with two alpha-amylases (Aspergillus oryzae and pig pancreas) whose three-dimensional structures are known. It was then applied to the other alpha-amylases resulting in straightforward sequence alignments which could be used for structure prediction. It was found that all alpha-amylases which were investigated display the same basic super-secondary structure with a (beta alpha)8 barrel. Most of the secondary structure elements of the protein cores could be assigned to segments of the amino acid sequences. In addition, six sub-families could be identified, based upon specific similarities occurring in the variable regions of alpha-amylases.

Amino Acid Sequence↗

Heterogeneity by cluster analysis techniques of Graves' patients typed for HLA DR and IgG heavy chain markers.

In a previous study we were able to separate, using cluster analysis, 196 patients with Graves' disease evaluated for a large number of clinical and laboratory characteristics, including HLA-A and HLA-B typing into one subset with recurring disease and a high prevalence of ophthalmopathy and another subset with mild disease and little ophthalmopathy. Prevalence of HLA-B8 was much higher in the first as compared to the second group. The present study was undertaken in 117 new patients with Graves' disease, typed for HLA-A, HLA-B, HLA-C and DR antigens and IgG heavy chain markers, to determine whether these characteristics could be used to segregate patients into clinically relevant subsets. There was a greater proportion of Gm fb homozygotes among patients than among controls (chi2 = 4.71, p less than 0.05) as well as individuals with HLA-B8 and DR3, previously documented for this disease. Two patient clusters were identified. In one (C1), there is a high incidence of exophthalmos, recurrence of hyperthyroidism after drug treatment, high titres of anti-thyroglobulin antibody, and an association with other autoimmune (including thyroid) diseases, a tendency for the disease to be familial and the presence of larger goitres. The incidence of HLA-B8 was greater in C1, while HLA-B12 was more frequent in the mild cluster, C2. HLA-DR3 was found to be associated with patients in the severe cluster and HLA-DR2 with patients in the mild cluster.(ABSTRACT TRUNCATED AT 250 WORDS)

Female↗

Space-time cluster analysis of invasive meningococcal disease.

Clusters are recognized when meningococcal cases of the same phenotypic strain (markers: serogroup, serotype, and subtype) occur in spatial and temporal proximity. The incidence of such clusters was compared to the incidence that would be expected by chance by using space-time nearest-neighbor analysis of 4,887 confirmed invasive meningococcal cases identified in the 9-year surveillance period 1993-2001 in the Netherlands. Clustering beyond chance only occurred among the closest neighboring cases (comparable to secondary cases) and was small (3.1%, 95% confidence interval 2.1%-4.1%).

Disease Outbreaks↗

The characteristics of delusions: a cluster analysis of deluded subjects.

Using a group of 55 psychotic subjects, 11 belief characteristics of delusions were recently assessed. The present study describes a cluster analysis of these data to investigate whether subjects showing characteristic patterns of delusional experience form relatively distinct groups. Three sub-groups were generated, each of which was given a descriptive label: hebephrenic, paranoid and depressed. The characteristics of these groups are described, in terms of associations with measures of mental state and belief content.

Adolescent↗

Cluster analysis of respiratory time series.

We have investigated the respiratory control system with the hypothesis that, although many variables such as minute ventilation (VI), tidal volume (VT), breathing period (TT), inspiratory duration (TI), and expiratory duration (TE) may be observed, the controller functions more simply by manipulating only 2 or 3 of these. Thus, if tidal volume is the only independent variable, TI being determined by the "off-switch" threshold, these variables should have very similar time courses. Anesthetized dogs were subjected to CO2 breathing and carotid sinus perfusion to stimulate both chemoreceptors. The time series of the variables VI, VT, TT, TE, and TI as well as PACO2 were determined on a breath by breath basis. Derived characteristics of these time series were compared using Cluster Analysis and the latent dimensionality of respiratory control determined by Factor Analysis. The characteristics of the time series clustered into 4 groups: magnitude (of the response), speed, variability and relative change. One respiratory factor accounted for 86% of the variance for the variability characteristics, 2 factors for magnitude (91%) and relative change (85%) and 3 factors for speed (89%). The respiratory variables were analysed for each of the 4 groups of characteristics with the following results: VT and TI clustered together only for the magnitude and relative change characteristics where as TT and TE clustered closely for all four characteristics. One latent factor was associated with the [TT-TE] group and the other usually with PACO2.

Animals↗

Non-canonical sequence elements in the promoter structure. Cluster analysis of promoters recognized by Escherichia coli RNA polymerase.

Nucleotide sequences of 441 promoters recognized by Escherichia coli RNA polymerase were subjected to a site-specific cluster analysis based on the hierarchical method of classification. Five regions permitting promoter subgrouping were identified. They are located at -54 +/- 4, -44 +/- 3, -35 +/- 3 (-35 element), -29 +/- 2 and -11 +/-4 (-10 element). Promoters were independently subgrouped on the basis of their sequence homology in each of these regions and typical sequence elements were determined. The putative functional significance of the revealed elements is discussed on the basis of available biochemical data. Those promoters that have a high degree of homology with the revealed sequence elements were selected as representatives of corresponding promoter groups and the presence of other sequence motifs in their structure was examined. Both positive and negative correlations in the presence of particular sequence motifs were observed; however, the degree of these interdependencies was not high in all cases, probably indicating that different combinations of the signal elements may create a promoter. The list of promoter sequences with the presence of different sequence elements is available on request by Email: ozoline@venus.iteb. serpukhov.su.

Base Sequence↗

Quantitative exploration of the REF52 protein database: cluster analysis reveals the major protein expression profiles in responses to growth regulation, serum stimulation, and viral transformation.

Quantitative protein databases reveal the response of cells to experimental variables, such as exposure to growth factors or transfection with a transforming gene. The nature of the response depends on the type of cell and its internal state at the time of the stimulus. By constructing a protein database to study a given cell line, we can better understand the differentiated state of the cell, the growth regulatory mechanisms it employs, the particular mechanisms it uses to cope with its environment, and the ways these mechanisms may have been compromised through mutation or transformation. The REF52 database is a quantitative database designed to study growth control and transformation in a well-defined family of normal and transformed rat cell lines. The database, which has been described and analyzed elsewhere (J. I. Garrels and B. R. Franza, J. Biol. Chem. 1989, 264, 5283-5298 and J. I. Garrels and B. R. Franza, J. Biol. Chem. 1989, 264, 5299-5312) is further explored here using cluster analysis. This method reveals the most common protein expression profiles for each series of two-dimensional gels without requiring any prior hypothesis or queries on the part of the investigator. This study reveals, for each experiment, large and small clusters of protein expression profiles, most of which have readily apparent biological meaning. For example, large clusters of proteins induced or repressed during growth to confluence have been revealed, and several clusters of transformation-sensitive proteins reveal differential effects of transformation by DNA- and RNA-tumor viruses. This analysis extends our earlier quantitative explorations of the REF52 protein database and helps to show how such a database can be used to provide context and guidance for molecular studies of regulation in a given cell system.

Algorithms↗

Structural similarities between chaperone molecules of the HSP60 and HSP70 families deduced from hydrophobic cluster analysis.

In this study, the conservation of strong structural landmarks between all the members of two chaperone families (HSP60 and HSP70) was deduced from their sequences by hydrophobic cluster analysis. On this basis, we propose that the ATP-binding environment is maintained by a similar fold in both protein families. The observed similarities extend throughout the proteins, including both the ATPase domain and the C-terminal substrate-binding domain.

Adenosine Triphosphatases↗

Cluster analysis of radionuclide concentrations in beach sand.

This paper presents a method in which natural radionuclide concentrations of beach sand minerals are traced along a stretch of coast by cluster analysis. This analysis yields two groups of mineral deposit with different origins. The method deviates from standard methods of following dispersal of radionuclides in the environment, which are usually based on the construction of lines of equal concentrations. The paper focuses on the methodology of quantitatively correlating activity concentrations of natural radionuclides in two groups of minerals. The methodology is widely applicable, but is demonstrated for natural radioactivity in beach sands along the coast of South West Australia.

Journal Article↗

Primary structure homologies between two zinc metallopeptidases, the neutral endopeptidase 24.11 ("enkephalinase") and thermolysin, through clustering analysis.

Analogies in the sequences of two related zinc metallopeptidases, the bacterial thermolysin (316 amino acids) and the recently cloned neutral endopeptidase 24.11 ("enkephalinase", 749 amino acids), have been demonstrated by a hydrophobic cluster analysis method derived from the Lim theory. Two sequence alignments are proposed for the entire primary structure of thermolysin and the C-terminal part of endopeptidase 24.11. Except for an arginine residue, all the amino acids involved in the active site of thermolysin have been retrieved in both models of endopeptidase 24.11 within conserved clustered structures. The first model is characterized by a deletion of the Ca2+-binding coil present in thermolysin and the second by replacement of this coil by two alpha-helices. In both models an Arg residue can be located in the active site of the neutral endopeptidase.

Amino Acid Sequence↗

Cluster analysis of short-term tests: a new methodological approach.

A totally data-based approach to the evaluation of short-term tests is proposed. The performances of 22 tests over a range of 42 chemicals (data from literature) were studied by cluster analysis. The comparison between them was performed only on the basis of their responses to the chemicals. Two different clustering methods produced a coincident classification, pointing to a clear resolution of all tests into 3 groups with common characteristics. With respect to carcinogen discrimination, cluster 1 showed the highest sensitivity and the lowest specificity. Cluster 3 had opposite characteristics. The tests of cluster 2 showed intermediate features. As far as the membership to clusters is concerned, the literature data about the responses to chemicals indicated a strong test system specificity. This apparently overcame both phylogeny and end-point community. A major characteristic of the present approach is the ability to elicit underlying patterns, the knowledge of which can contribute both to hypothesis formulation and be useful for practical purposes.

Animals↗

Use of cluster analysis in the development of structure-activity relations for antitumor triazenes.

A series of antitumor triazenes in which the members of the series are physicochemically distinct was designed using the cluster analysis approach as proposed by Hansch and his co-workers. The series that resulted was tested against Sarcoma 180 in the mouse and the antitumor activities were analyzed using regression techniques. The structure-activity relations that resulted are discussed in terms of proposed mechanisms of action.

Animals↗

Hydrophobic cluster analysis reveals duplication in the external structure of human alpha-interferon receptor and homology with gamma-interferon receptor external domain.

Evidence is presented, based on sequence comparison according to Hydrophobic Cluster Analysis, of a structural and evolutionary relationship between the human alpha/beta-interferon receptor and the human and mouse gamma-interferon receptor. These results predict that the human alpha/beta-interferon receptor extracellular part is organised in two homologous subdomains connected by a proline linker. They also predict that both subdomains present some homologies to the external domain of mouse and human gamma interferon receptor.

Amino Acid Sequence↗

Electron microscopical characterization of muscle fiber types of the rat diaphragm using a cluster analysis.

Muscle fibers of one rat diaphragm were selected for sterological investigation of some ultrastructural parameters. Histograms and scattergrams did not exhibit consistently the existence of several subgroups of muscle fibers. A cluster analysis was performed to reveal groupings. 2 populations were defined using a stepwise discriminant analysis. The most important parameters for the discrimination of the 2 groups proved to be the volume density of mitochondria and the width of the Z line, all other parameters determined were of minor importance. It was tried to apply numerical taxonomic procedures to the problem of the ultrastructural characterization of skeletal muscle fibers. Thus difficulties arising from subjective determinations of several types of muscle fibers could be avoided.

Animals↗

Unsupervised fuzzy clustering analysis supports behavioral cutoff criteria in an animal model of posttraumatic stress disorder.

BACKGROUND: Unsupervised fuzzy clustering (UFC) analysis is a mathematical technique that groups together objects in the multidimensional feature space according to a specified similarity measurement, thereby yielding clusters of similar data points that can be represented by a set of prototypes or centroids. METHODS: Since clinical studies of mental disorders distinguish between affected and unaffected individuals, we designed an inclusion/exclusion criteria (cutoff behavioral criteria [CBC]) approach for animal behavioral studies. The effect of classifying the study population into clearly affected versus clearly unaffected individuals according to behaviors on two behavioral paradigms was statistically significant. RESULTS: Here the raw data from previous studies were subjected to UFC algorithms as a means of objectively testing the validity of the concept of the CBC for our experimental model. The first UFC algorithm yielded two clearly discrete clusters, found to consist almost exclusively of the exposed animals in the one and unexposed animals in the other. The second algorithm yielded three clusters corresponding to animals designated as clearly affected, partially affected, and clearly unaffected. The algorithm for physiological data in addition to behavioral data failed to elicit discrete clusters. CONCLUSIONS: The UFC analysis yielded data that support the conceptual contention of the CBC and lends additional validity to our previous behavioral studies.

Acoustic Stimulation↗

GRAN: a computer program for the cluster analysis of a repertory grid.

A BASIC computer program is described for analysing individual repertory grids. The analysis results in a rearranged version of the grid, with similar constructs and similar elements grouped together. Element and construct similarities are assessed using single-link hierarchical cluster analysis. The program works with rating, ranked or dichotomous grids and copes with missing entries.

Adaptation, Psychological↗