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Molecular dynamics of apo-adenylate kinase: a principal component analysis.

Adenylate kinase from E. coli (AKE) is studied with molecular dynamics. AKE undergoes large-scale motions of its Lid and AMP-binding domains when its open form closes over its substrates, AMP and Mg2+-ATP. The third domain, the Core, is relatively stable during closing. The resulting trajectory is analyzed with a principal component analysis method that decomposes the atom motions into modes ordered by their decreasing contributions to the total protein fluctuation. Simulations at 303 K (normal T) and 500 K (high T) reveal that at both temperatures the first three modes account for 70% of the total fluctuation. The residues that contribute the most to these three modes are concentrated in the Lid and AMP-binding domains. Analysis of the normal T modes indicates that the Lid and AMP-binding domains sample a broad distribution of conformations indicating that AKE is designed to provide its substrates with a large set of conformations. The high T results show that the Lid initially closes toward the Core. Subsequently, the Lid rotates to a new stable conformation that is different from what is observed in the substrate-bound AKE. These results are discussed in the context of experimental data that indicate that adenylate kinases do sample more than one conformational state in solution and that each of these conformational states undergoes substantial fluctuations. A pair of residues is suggested for labeling that would be useful for monitoring distance fluctuations by energy transfer experiments.

Adenylate Kinase↗

A principal components analysis of the Comprehensive Test of Adaptive Behavior.

The Comprehensive Test of Adaptive Behavior (CTAB) yields indices of functioning in six categories (Self-Help Skills, Home Living Skills, Independent Living Skills, Social Skills, Sensory and Motor Skills, and Language Concepts and Academic-Skills) and a composite Total Score. A single factor, extracted through principal components analysis of standardization sample data, accounted for approximately 86% of the variance in the six category scores, portraying the CTAB as unidimensional rather than multidimensional. Therefore, rather than use of category scores, cautious interpretation of idiographic item clusters and the Total Score may be the most psychometrically sound procedure for evaluating CTAB results.

Activities of Daily Living↗

Two-dimensional correlation spectroscopy and principal component analysis studies of temperature-dependent IR spectra of cotton-cellulose.

The FTIR spectra were measured for raw Uplands Sicala-V2 cotton fibers over a temperature range of 40-325 degrees C to explore the temperature-dependent changes in the hydrogen bonds of cellulose. These cotton-cellulose spectra exhibited complicated patterns in the 3800-2800 cm(-1) region and thus were analyzed by both the exploratory principal component analysis (PCA) and two-dimensional (2-D) correlation spectroscopy methods. The exploratory PCA showed that the spectra separate into two groups on the basis of thermal degradation of the cotton-cellulose and the consequent breakage of intersheet H-bonds present in its structure. Frequency variables, which strongly contributed to each principal component highlighted in its loadings plot, were linked to the frequencies assigned to vibrations of the OH groups involved in different kinds of H-bonds, as well as to vibrations of the CH groups. Deeper insights into reorganization of the temperature-dependent hydrogen bonding were obtained by 2-D correlation spectroscopy. Synchronous and asynchronous spectra were analyzed in the temperature ranges of 40 to 150 and 250 to 320 degrees C, the ranges indicated by PCA. Detailed band assignments of the OH stretching region and changes in the patterns of the hydrogen bonding network of the cotton-cellulose were proposed with the aid of the 2-D correlation spectroscopy analysis. Below 150 degrees C, distinctly different bands assigned to the less stable Ialpha and the more stable Ibeta interchain H-bonds O-6-H-6...O-3' were observed at about 3230 and 3270 cm(-1), respectively. Evaporation of water entrapped in the cellulose network was examined by means of the band at about 3610 cm(-1). The cooperativity of hydrogen bonds, which play a key role in the cellulose conformation, was monitored by frequencies assigned to intrachain H-bonds. It was possible to separate the frequencies assigned to the O-2-H-2...O-6 and O-3-H-3...O-5 intrachain H-bonds into two separate ranges, the spread of which was controlled by the cooperativity effect. The temperature dependence of the asynchronous spectra indicated that the less stable O-3-H-3...O-5 bonds gave rise to an absorption extending from 3300 to 3384 cm(-1), while the more stable O-2-H-2...O-6 bonds were characterized by the absorption between 3400 and 3470 cm(-1). The final breaking of the inter- and intrachain H-bonds, which occurs at the higher temperatures, was monitored by the asynchronous peaks at 3533 and 3590 cm(-1), respectively. On the basis of both the exploratory PCA and 2-D correlation spectroscopy investigations, it was possible to extract well-defined wavenumber ranges assigned to different kinds of intra- and interchain hydrogen bonds, as well as to the free OH groups of the cotton-cellulose.

Algorithms↗

Dual relationship activities: principal component analysis of counselors' attitudes.

The British Columbian Members of the Canadian Guidance and Counselling Association were surveyed to explore their attitudes regarding dual relationships. Of 529 deliverable surveys, 206 usable returns yielded a response rate of 39%. The survey instrument collected data regarding respondents' characteristics and ethicality ratings of 39 dual relationship activity items. An exploratory principal components analysis was performed on responses, resulting in a 4-factor equation, which accounted for 44% of the total variance. The results suggest that, although conceptual considerations of dual relationship typology do underlay the resultant factors, the relative ethicality of each item is also influential.

Adult↗

Principal components analysis of distal humeral shape in Pliocene to recent African hominids: the contribution of geometric morphometrics.

The shape of the distal humerus in Homo, Pan (P. paniscus and P. troglodytes), Gorilla, and six australopithecines is compared using a geometric approach (Procrustes superimposition of landmarks). Fourteen landmarks are defined on the humerus in a two-dimensional space. Principal components analysis (PCA) is performed on all superimposed coordinates. I have chosen to discuss the precise place of KNM-KP 271 variously assigned to Australopithecus anamensis, Homo sp., or Praeanthropus africanus, in comparison with a sample of australopithecines. AL 288-1, AL 137-48 (Hadar), STW 431 (Sterkfontein), and TM 1517 (Kromdraai) are commonly attributed to Australopithecus afarensis (the two former), Australopithecus africanus, and Paranthropus robustus, respectively, while the taxonomic place of KNM-ER 739 (Homo or Paranthropus?) is not yet clearly defined. The analysis does not emphasize a particular affinity between KNM-KP 271 and modern Homo, nor with A. afarensis, as previously demonstrated (Lague and Jungers [1996]

Animals↗

Hydroxy-fatty acid profiles of Legionella species: diagnostic usefulness assessed by principal component analysis.

Twenty-nine species (76 strains) of members of the genus Legionella were analyzed for their cellular hydroxylated fatty acids (OH-FAs). The individual patterns were unusually complex and included both monohydroxylated and dihydroxylated chains of unbranched or branched (iso and anteiso) types. Comparison of the strain profiles by SIMCA (Soft Independent Modelling of Class Analogy) principal component analysis revealed four main groups. Group 1 included Legionella pneumophila plus L. israelensis strains, and group 2 included L. micdadei and L. maceacherneii strains. These two closely related groups were characterized by the occurrence of di-OH-FAs and differed mainly in the amounts of 3-OH-a21:0, 3-OH-n21:0, 3-OH-n22:0, and 3-OH-a23:0. Group 3 (13 species) was distinguished by i14:0 at less than 3%, 3-OH-3-OH-n14:0 at greater than 5%, 3-OH-n15:0 at greater than 2%, and minute amounts of OH-FAs with chains longer than 21:0. Group 4 (12 species) was heterogeneous. Its main characteristics were the presence of 3-OH-n12:0 and 3-OH-n13:0, 3-OH-i14:0 at greater than 5%, as well as significant amounts of 3-OH-a21:0 and 3-OH-n21:0. The groupings obtained by OH-FA profiles were found to reflect DNA-DNA homology groupings reasonably well, and the profiles appear to be useful for differentiation of Legionella species.

DNA, Bacterial↗

Principal component analysis. A factor analytical technique for the determination of interobserver variation in histomorphologic tumor grading.

The insufficient interobserver reproducibility limits the practical use of histomorphological tumor grading in daily routine pathology. In this study, the reasons for the quite low rates of agreement between different observers have been investigated by the application of a factor analytical technique, i.e. principal component analysis with varimax rotation, on a tumor grading system. Grading results from 44 cases of G1 and G2 giant cell tumors of the bone (GCT), graded by three different observers according to the five criteria of Jaffe, were taken as an example. It could be proven that the single criteria were used in an observer-specific way. Two criteria, for example, which are scored highly correlated by one observer, may be used independently by another. The resulting observer-specific different recognition patterns may provide an explanation for their quite different grading results, which were identical in only 48.6% to 54.1% (mean: 50.9%) of the cases. No correlation of GCT grading with recurrence was found in 31 cases which had been treated by intralesional surgery.

Adult↗

Decomposition of pharmacological activity indices into mutually independent components using principal component analysis.

Various subsets of pharmacological activity indices of benzodiazepines, of 8-quinolinol derivatives, and of rifamycin B amides were decomposed into mutually independent components by using principal component analysis. The activites not included into the subset were considered as the dependent variables. In three out of the six cases with a fair correlation coefficient (r less than or equal to 0.9) between pairs of primary pharmacological indices, the main component obtained by the decomposition procedure showed significantly higher correlation with the dependent variable than any of the original pharmacological activity indices. Factors, explaining a rather low portion of the total sample variance of the subset, may still account for important secondary effects.

Animals↗

Effects of habitual physical exercise on physiological age in men aged 20-85 years as estimated using principal component analysis.

A population of 221 healthy adult men (aged 20-85 years) was studied to determine whether those who exercised regularly were in good biological condition, and also whether those who were in a state of high physical fitness were in a good state biologically, in terms of physiological age (PA) and physical fitness age (FA) as estimated by principal component analysis. A group of 17 physiological function tests and 5 physical fitness tests were employed to estimate PA and FA, respectively. The results of this study indicated that those who maintained high physical fitness at all age decade groups from 20 to 79 years had a trend towards maintaining a relatively lower PA (physiologically younger). Mean PA and FA of the trained group were younger by 4.7 and 7.3 years, respectively than those of the untrained group. In addition, the slope of regression line of PA on chronological age was more gentle in the trained group than that in the untrained group. These results would suggest that those who are in a state of high physical fitness maintain a relatively good physiological condition, and that regular physical exercise may delay physiological changes normally seen with aging, and consequently may increase the life span.

Adult↗

Infrared spectroscopy of normal and abnormal cervical smears: evaluation by principal component analysis.

Fourier-transform infrared (FT-IR) spectra of malignant and dysplastic cervical scrapings were abnormal, as first described in our study of a limited number of samples, where the spectra were evaluated by visual inspection and peak intensity ratios. We have expanded our study to evaluate more cervical conditions, and to analyze the spectra by a chemometric approach (principal component analysis [PCA]). Cervical samples from 436 females were evaluated by FT-IR and Papanicolaou testing; 40/436 spectra were nonanalyzable. The remaining were as follows: normal, 174; malignant, 19; dysplasia, 8; atypia, 113; atrophy, 19; inflammatory, 47; bloody smear, 12; hypocellular, 4. PCA analysis followed by chi2 test revealed that statistically significant frequencies of being predicted malignant by FT-IR were associated with samples diagnosed as malignant (P < 0.0001), and also those diagnosed as "atrophy" (P < 0.001), "atypical with bloody smear" (P < 0.05), "atypical with atrophic pattern" (P < 0.05), and "dysplasia" (P < 0.05). Based on these findings, for the diagnosis of cervical cancer by FT-IR, as defined here, the sensitivity is 79%, the specificity is 77%, the positive predictive value is 15%, and the negative predictive value is 98.6%. Our findings (a) demonstrate the application of a chemometric approach to the study of cervical FT-IR spectra; (b) assess its potential diagnostic role; (c) suggest that atrophic and neoplastic samples share structural features; and (d) suggest that blood may interfere with such spectroscopic evaluation. These findings warrant further evaluation of FT- IR spectroscopy in cervical and other malignancies.

Cervix Uteri↗

Phenotypic covariance structure in tamarins (genus Saguinus): a comparison of variation patterns using matrix correlation and common principal component analysis.

Constancy of variation/covariation structure among populations is frequently assumed in order to measure the differential selective forces which have caused population differentiation through evolutionary time. Following Steppan ([1997] Evolution 51:571-594), this assumption is examined among closely related tamarin species (genus Saguinus), using two distinct approaches applied to the task of evaluating similarity in patterns of morphological variation: common principal component analysis and matrix correlations. While the results of these analyses may appear contradictory, closer examination reveals them as complementary, highlighting the wisdom of combined methodologies. Overall, the results reveal a close relationship among the morphologically based variance structures of the tamarin species a relationship whose pattern is consistent with the pattern of phylogenetic relatedness as found via a molecular genetic study. More specifically, both methodological approaches provide some support for divergence of S. geoffroyi and S. oedipus (with regards to their patterns of morphological variation) from other tamarin species. This suggests that variance/covariance structure may have diverged through evolutionary time in the tamarin lineage, placing assumptions of constancy in doubt.

Analysis of Variance↗

Chromatographic classification and comparison of commercially available reversed-phase liquid chromatographic columns using principal component analysis.

A total of 135 commercially available alkyl, cyano, phenyl, perfluorinated, polar embedded, enhanced polar selectivity (i.e., polar/hydrophilic endcapped), "Aqua type" and a variety of novel phases including some non-silica based stationary phases have been characterised in terms of their surface coverage, hydrophobic selectivity, shape selectivity, hydrogen bonding capacity and ion-exchange capacity at pH 2.7 and 7.6. Principal component analysis has been used to provide a simple graphical comparison of the differences/similarities between columns in the entire database and differing subsets such as "Aqua type"/enhanced polar selectivity phases. The PCA has been correlated to the phase's ability to analyse a range of hydrophilic bases.

Chromatography, Liquid↗

Principal component analysis of four health indicators and construction of a global health index in the aged.

The health status of 1025 urban senior citizens in a Montreal metropolitan area was determined by a questionnaire based on the subjects' view of physical, mental, and general well-being, and of dependence (indicators of Belloc et al., Berkman, Grogono and Woodgate, and Linn). A principal component analysis was made of these health indicators and two factors were retained. The first factor, which can be called a global health index, was used to compare the sexes and the age strata; it was thus found that men (those who survive) are generally healthier than the women, and that subjects from the lower-age strata are healthier than their older counterparts. The second factor is described as opposing physical health and dependence to mental health, the results of which were similar for both sexes, bur differed according to the various age strata compared.

Age Factors↗

Conformational characterization of nucleosomes by principal component analysis of their electron micrographs.

Optimized fixation conditions were determined for protein-protein and protein-DNA crosslinking within calf-thymus nucleosomes in low monovalent salt concentrations. Nucleosomes were examined without heavy-atom staining by darkfield electron microscopy. The dimensions of these macromolecular complexes and those of HeLa core particles optimally fixed in divalent salt were analysed using principal component analysis. According to this analysis the structure of the calf-thymus nucleosomes was best presented by a prolate ellipsoid. Particle images had average major and minor axis lengths of 14.1 and 10.5 nm, respectively. In contrast, the HeLa nucleosomes were best modelled by an oblate ellipsoid from the analysis of their images, which had average major and minor axes of 13.3 and 11.5 nm. The applicability of this multivariate statistical analysis to the interpretation of macromolecular images is illustrated and discussed.

Animals↗

Principal components analysis to summarize microarray experiments: application to sporulation time series.

A series of microarray experiments produces observations of differential expression for thousands of genes across multiple conditions. It is often not clear whether a set of experiments are measuring fundamentally different gene expression states or are measuring similar states created through different mechanisms. It is useful, therefore, to define a core set of independent features for the expression states that allow them to be compared directly. Principal components analysis (PCA) is a statistical technique for determining the key variables in a multidimensional data set that explain the differences in the observations, and can be used to simplify the analysis and visualization of multidimensional data sets. We show that application of PCA to expression data (where the experimental conditions are the variables, and the gene expression measurements are the observations) allows us to summarize the ways in which gene responses vary under different conditions. Examination of the components also provides insight into the underlying factors that are measured in the experiments. We applied PCA to the publicly released yeast sporulation data set (Chu et al. 1998). In that work, 7 different measurements of gene expression were made over time. PCA on the time-points suggests that much of the observed variability in the experiment can be summarized in just 2 components--i.e. 2 variables capture most of the information. These components appear to represent (1) overall induction level and (2) change in induction level over time. We also examined the clusters proposed in the original paper, and show how they are manifested in principal component space. Our results are available on the internet at http:¿www.smi.stanford.edu/project/helix/PCArray .

Computer Simulation↗

Studies on the structure of water using two-dimensional near-infrared correlation spectroscopy and principal component analysis.

The structure of water molecules in the pure liquid state has been subjected to extensive research for several decades. Questions still remain unanswered, however, and no single model has been found capable of explaining all the anomalies of water. In the present study, near-infrared spectra of water in the temperature region 6-80 degrees C have been analyzed by use of principal component analysis and two-dimensional correlation spectroscopy in order to study the dynamic behavior of a band centered around 1,450 nm at room temperature, which is due to the combination of symmetric and antisymmetric O-H stretching modes (first overtone) of water. It has been found that the wavelengths 1,412 and 1,491 nm account for more than 99% of the spectral variation, representing two major water species with weaker and stronger hydrogen bonds, respectively. A third species located at 1438 nm, whose concentration was relatively constant as a function of temperature, is also indicated. A somewhat distorted two-state structural model for water is suggested.

Journal Article↗

Multiple regression and principal components analysis of puberty and growth in cattle.

Multiple regression and principal components analyses were employed to examine relationships among pubertal and growth characters. Records used were from 424 bulls and 475 heifers produced by a diallel mating of Angus, Brahman, Hereford, Holstein and Jersey breeds. Characters studied were age, weight and height at puberty and measurements of weight and hip height from 9 to 21 mo of age; pelvic measurements of heifers also were included. Measurements of weight and height near 1 yr of age were related most highly to pubertal age, weight adn height. Larger size near 1 yr of age was associated with younger, larger animals at puberty. Growth rate was associated with pubertal characters before, but not after, adjustment for effects of breed-type. Principal components of the variation of pubertal and growth characters among animals were strongly related to both weight and height. The majority of the variation among breed-types was due to height. Characteristic vectors of principal components describing the variation of bulls and heifers were strikingly similar. The variance-covariance structure of pubertal characters was essentially the same for both sexes even though the mean values of the characters differed.

Animals↗

Use of principal component analysis for the study of the retention behaviour of anticancer drugs on a beta-cyclodextrin polymer-coated silica column.

The retention parameters of eighteen commercial anticancer drugs were determined on a beta-cyclodextrin polymer-coated silica support (beta CDP) using methanol-water mixtures as eluent and the relationship between the retention behaviour and physico-chemical parameters was elucidated by principal component analysis (PCA) followed by two-dimensional non-linear mapping. No significant linear correlation was found between the retention behaviour of drugs on octadecylsilica and beta CDP silica columns, indicating that the retention capacity and selectivity of the columns are considerably different. The results of PCA indicated that hydrophobic and electronic interactions and steric conditions govern the retention of anticancer drugs on beta CDP column, suggesting a mixed retention mechanism.

Antineoplastic Agents↗