• Title/Summary/Keyword: Statistical descriptors

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4D-QSAR Study of p56Ick Protein Tyrosine Kinase Inhibitory Activity of Flavonoid Derivatives Using MCET Method

  • Yilmaz, Hayriye;Guzel, Yahya;Onal, Zulbiye;Altiparmak, Gokce;Kocakaya, Safak Ozhan
    • Bulletin of the Korean Chemical Society
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    • v.32 no.12
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    • pp.4352-4360
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    • 2011
  • A four dimensional quantitative structure activity relationship analysis was applied to a series of 50 flavonoid inhibitors of $p56^{lck}$ protein tyrosine kinase by the molecular comparative electron topological method. It was found that the -log (IC50) values of the compounds were highly dependent on the topology, size and electrostatic character of the substituents at seven positions of the flavonoid scaffold in this study. Depending on the negative or positive charge of the groups correctly embedded in these substituents, three-dimensional bio-structure to increase or decrease -log (IC50) values in the training set of 39 compounds was predicted. The test set of 11 compounds was used to evaluate the predictivity of the model. To generate 4D-QSAR model, the defined function groups and pharmacophore used as topological descriptors in the calculation of activity were of sufficient statistical quality ($R^2$ = 0.72 and $Q^2$ = 0.69). Ligand docking approach by using Dock 6.0. These compounds include many flavonoid analogs, They were docked onto human families of p56lck PTKs retrieved from the Protein Data Bank, 1lkl.pdb.

Seismic damage potential described by intensity parameters based on Hilbert-Huang Transform analysis and fundamental frequency of structures

  • Tyrtaiou, Magdalini;Elenas, Anaxagoras
    • Earthquakes and Structures
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    • v.18 no.4
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    • pp.507-517
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    • 2020
  • This study aims to present new frequency-related seismic intensity parameters (SIPs) based on the Hilbert-Huang Transform (HHT) analysis. The proposed procedure is utilized for the processing of several seismic accelerograms. Thus, the entire evaluated Hilbert Spectrum (HS) of each considered seismic velocity time-history is investigated first, and then, a delimited area of the same HS around a specific frequency is explored, for the proposition of new SIPs. A first application of the suggested new parameters is to reveal the interrelation between them and the structural damage of a reinforced concrete frame structure. The index of Park and Ang describes the structural damage. The fundamental frequency of the structure is considered as the mentioned specific frequency. Two statistical methods, namely correlation analysis and multiple linear regression analysis, are used to identify the relationship between the considered SIPs and the corresponding structural damage. The results confirm that the new proposed HHT-based parameters are effective descriptors of the seismic damage potential and helpful tools for forecasting the seismic damages on buildings.

A Study on a Didactic Transposition Method and Students' Understanding for the Normal Distribution (정규분포에 대한 교수학적 변환 방식과 학생들의 이해 분석)

  • Shin, Bo-Mi
    • Journal of Educational Research in Mathematics
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    • v.22 no.2
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    • pp.117-136
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    • 2012
  • The goal of this study is to investigate a didactic transposition method of text books and high school students' understanding for the Normal Distribution. To accomplish this goal, framework descriptors were developed to analyse the didactic transposition method and interpret the students' understanding based on the Historico-Genetic process of the Normal Distribution, the meaning of the Normal Distribution as a scholarly knowledge and the results of previous studies on students' understanding for the Normal Distribution. This study presented several recommendations for instruction of the Normal Distribution according to the results of analysing the didactic transposition method and interpreting the students' understanding in terms of the developed framework.

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QSPR Models for Chromatographic Retention of Some Azoles with Physicochemical Properties

  • Polyakova, Yulia;Jin, Long Mei;Row, Kyung-Ho
    • Bulletin of the Korean Chemical Society
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    • v.27 no.2
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    • pp.211-218
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    • 2006
  • This work deals with 24 substances composed of nitrogen-containing heterocycles. The relationships between the chromatographic retention factor (k) and those physicochemical properties which are relevant in quantitative structure-properties relationship (QSPR) studies, such as the polarizability $(\alpha)$, molar refractivity (MR), lipophilicity (logP), dipole moment $(\mu)$, total energy $(E_{tot})$, heat of formation $(\Delta H_f)$, molecular surface area $(S_M)$, and binding energy $(E_b)$, were investigated. The accuracy of the simple linear regressions between the chromatographic retention and the descriptors for all of the compounds was satisfactory (correlation coefficient, $0.8 \leq r \leq 1.0$). The QSPR models of these nitrogen-containing heterocyclic compounds could be predicted with a multiple linear regression equation having the statistical index, r = 1.000. This work demonstrated the successful application of the multiple linear approaches through the development of accurate predictive equations for retention factors in liquid chromatography.

Adherence to Recommended Treatments for Early Invasive Breast Cancer: Decisions of Women Attending Surgeons in the Breast Cancer Audit of Australia and New Zealand

  • Roder, David M.;Silva, Primali De;Zorbas, Helen N.;Webster, Fleur;Kollias, James;Pyke, Chris M.;Campbell, Ian D.
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.4
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    • pp.1675-1682
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    • 2012
  • Aim: The study aim was to determine the frequency with which women decline clinicians' treatment recommendations and variations in this frequency by age, cancer and service descriptors. Design: The study included 36,775 women diagnosed with early invasive breast cancer in 1998-2005 and attending Australian and New Zealand breast surgeons. Rate ratios for declining treatment were examined by descriptor, using bilateral and multiple logistic regression analyses. Proportional hazards regression was used in exploratory analyses of associations with breast cancer death. Results: 3.4% of women declined a recommended treatment of some type, ranging from 2.6% for women under 40 years to 5.8% for those aged 80 years or more, and with parallel increases by age presenting for declining radiotherapy (p<0.001) and axillary surgery (p=0.006). Multiple regression confirmed that common predictors of declining various treatments included low surgeon case load, treatment outside major city centres, and older age. Histological features suggesting a favourable prognosis were often predictive of declining various treatments, although reverse findings also applied with women with positive nodal status being more likely to decline a mastectomy and those with larger tumours more likely to decline chemotherapy. While survival analyses lacked statistical power due to small numbers, higher risks of breast cancer death were suggested, after adjusting for age and conventional clinical risk factors, (1) for women not receiving breast surgery for unstated reasons (RR=2.29; p<0.001); and (2) although not approaching statistical significance $p{\geq}0.200$), for women declining radiotherapy (RR=1.22), a systemic therapy (RR1.11), and more specifically, chemotherapy (RR=1.41). Conclusions: Women have the right to choose their treatments but reasons for declining recommendations require further study to ensure that choices are well informed and clinical outcomes are optimized.

The study on determinants for changing employment positions among dental hygienists (치과위생사의 이직결정에 영향을 미치는 요인에 관한 연구)

  • Jung, Yun-Hoa
    • Journal of Korean society of Dental Hygiene
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    • v.3 no.2
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    • pp.183-196
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    • 2003
  • Purpose: This study sought to identify factors associated with dental hygienists' decisions to leave one dental office and commence practice in another. In addition to, the reasons dental hygienists stay in the profession were investigated. Demographic descriptors, including education level, marital status and age, and employment setting were also examined. Methods: Currently practicing dental hygienists in Korea were surveyed from March to May 2003. Data were collected through a questionnaire. The survey collected information concerning the 461 respondents' personal characteristics and reasons associated with changing positions and staying. Data were analyzed using frequency distributions, independent t-tests and chi-square analyses. All statistical analyses were conducted using the Statistical Package for Social Scientists(SPSS v.10, Chicago, Illinois). Results: The primary reasons for taking up another employment were found to be better offer, inadequate salary and personal conflict with dentist. Secondary reasons stated for changing their job revealed additional factors including inadequate salary, better offer, and lack of benefits. The primary influence in deciding to remaining in the practice of dental hygiene was self-development. Family responsibility, safe environment and professional collaboration were also important factors in deciding to remain in workforce. Conclusion: The position changes of dental hygienists are primarily influenced by better offer. Inadequate salary and conflict with dentist were also important factors in deciding to change employment positions. The findings suggest that dental hygienists who remain in the workforce are positively influenced mainly by self-development. Employers of dental hygienists should be aware of these factors in employing process. If more hygienists could remain longer in their positions, the manpower situation would be affected positively.

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Prediction and analysis of acute fish toxicity of pesticides to the rainbow trout using 2D-QSAR (2D-QSAR방법을 이용한 농약류의 무지개 송어 급성 어독성 분석 및 예측)

  • Song, In-Sik;Cha, Ji-Young;Lee, Sung-Kwang
    • Analytical Science and Technology
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    • v.24 no.6
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    • pp.544-555
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    • 2011
  • The acute toxicity in the rainbow trout (Oncorhynchus mykiss) was analyzed and predicted using quantitative structure-activity relationships (QSAR). The aquatic toxicity, 96h $LC_{50}$ (median lethal concentration) of 275 organic pesticides, was obtained from EU-funded project DEMETRA. Prediction models were derived from 558 2D molecular descriptors, calculated in PreADMET. The linear (multiple linear regression) and nonlinear (support vector machine and artificial neural network) learning methods were optimized by taking into account the statistical parameters between the experimental and predicted p$LC_{50}$. After preprocessing, population based forward selection were used to select the best subsets of descriptors in the learning methods including 5-fold cross-validation procedure. The support vector machine model was used as the best model ($R^2_{CV}$=0.677, RMSECV=0.887, MSECV=0.674) and also correctly classified 87% for the training set according to EU regulation criteria. The MLR model could describe the structural characteristics of toxic chemicals and interaction with lipid membrane of fish. All the developed models were validated by 5 fold cross-validation and Y-scrambling test.

Synthesis and 3D-QSARs Analyses of Herbicidal O,O-Dialkyl-1-phenoxyacetoxy-1-methylphosphonate Analogues as a New Class of Potent Inhibitors of Pyruvate Dehydrogenase

  • Soung, Min-Gyu;Hwang, Tae-Yeon;Sung, Nack-Do
    • Bulletin of the Korean Chemical Society
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    • v.31 no.5
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    • pp.1361-1367
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    • 2010
  • A series of O,O-dialkyl-1-phenoxyacetoxy-1-methylphosphonate analogues (1~22) as a new class of potent inhibitors of pyruvate dehydrogenase were synthesized and 3D-QSARs (three dimensional qantitative structure-activity relationships) models on the pre-emergency herbicidal activity against the seed of cucumber (Cucumus Sativa L.) were derived and discussed quantitatively using comparative molecular field analysis (CoMFA) and comparative molecular similarity indeces analysis (CoMSIA) methods. The statistical values of CoMSIA models were better predictability and fitness than those of CoMFA models. The inhibitory activities according to the optimized CoMSIA model I were dependent on the electrostatic field (41.4%), the H-bond acceptor field (26.0%), the hydrophobic field (20.8%) and the steric field (11.7%). And also, it was found that the optimized CoMSIA model I with the sensitivity to the perturbation ($d_q{^{2'}}/dr^2{_{yy'}}$ = 0.830) and the prediction ($q^2$ = 0.503) produced by a progressive scrambling analyses were not dependent on chance correlation. From the results of graphical analyses on the contour maps with the optimized CoMSIA model I, it is expected that the structural distinctions and descriptors that subscribe to herbicidal activities will be able to apply new an herbicide design.

Synthesis and Ligand Based 3D-QSAR of 2,3-Bis-benzylidenesuccinaldehyde Derivatives as New Class Potent FPTase Inhibitor, and Prediction of Active Molecules

  • Soung, Min-Gyu;Kim, Jong-Han;Kwon, Byoung-Mog;Sung, Nack-Do
    • Bulletin of the Korean Chemical Society
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    • v.31 no.5
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    • pp.1355-1360
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    • 2010
  • In order to search new inhibitors against farnesyl protein transferase (FPTase), a series of 2,3-bis-benzylidenesuccinaldehyde derivatives (1-29) were synthesized and their inhibition activities ($pI_{50}$) against FPTase were measured. From based on the reported results that the inhibitory activities of dimers 2,3-bis-benzylidenesuccinaldehydes were higher than those of monomers cinnamaldehydes, 3D-QSARs on FPTase inhibitory activities of the dimers (1-29) were studied quantitatively using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methods. The statistical qualities of the optimized CoMFA model II ($r^2{_{cv.}}$= 0.693 and $r^2{_{ncv.}}$= 0.974) was higher than those of the CoMSIA model II ($r^2{_{cv.}}$ = 0.484 and $r^2{_{ncv.}}$ = 0.928). The dependence of CoMFA models on chance correlations was evaluated with progressive scrambling analyses. And the inhibitory activity exhibited a strong correlation with steric factors of the substrate molecules. Therefore, from the results of graphical analyses on the contour maps and of predicted higher inhibitory active compounds, it is suggested that the structural distinctions and descriptors that contribute to inhibitory activities ($pI_{50}$) against FPTase will be able to applied new inhibitor design.

The Search of Pig Pheromonal Odorants for Biostimulation Control System Technologies: A 2D-QSAR Model for Binding Affinity between 2-Cyclohexyloxytetrahydrofurane Analogues and Porcine Odorant Binding Protein (생물학적 자극 통제 수단으로 활용하기 위한 돼지 페로몬성 냄새 물질의 탐색: 2-Cyclohexyloxytetrahydrofurane 유도체와 Porcine Odorant Binding Protein 사이의 결합 친화력에 관한 2D-QSAR 모델)

  • Park, Chang-Sik;Choi, Yang-Seok;Sung, Nack-Do
    • Reproductive and Developmental Biology
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    • v.31 no.1
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    • pp.15-20
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    • 2007
  • To search of a new porcine pheromonal odorant for biostimulation control system technologies to offer a potentially useful and practical way to improve reproductive efficiency in livestock species, the two dimensional quantitative structure-activity relationship (QSAR) models between physicochemical parameters as descriptors of 2-cyclohexyloxytetrahydrofurane (A), 2-phenoxytetrahydrofurane (B) analogues and binding affinity constant ($p[Od.]_{50}$) for porcine odorant-binding protein (pOBP) as receptor of pig pheromones were derived and disscused. The statistical quality of the optimized 2D-QSAR model is good ($r^{2}=0.964$) and accounts for 96.4% of the variance in the binding affinity constants. It was found that the binding affinity constants were dependent upon the optimal value, $(SL)_{opt.}=1.418$ of substituent lipole (SL) in molecules. Therefore, the SL constant was very important factor for binding affinity.