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Relationship Analysis (relationship + analysis)
Selected AbstractsHuman skin permeation and partition: General linear free-energy relationship analysesJOURNAL OF PHARMACEUTICAL SCIENCES, Issue 6 2004Michael H. Abraham Abstract Literature values of the permeability coefficient for permeation of human skin from water have been adjusted for ionization in water and adjusted for temperature. The obtained values of log Kp for 119 solutes at 37°C have been correlated with Abraham descriptors to yield an equation with R2,=,0.832 and SD,=,0.46 log units. Three separate test sets of 60 compounds had log Kp predicted with an SD of 0.48 log units. The main factors that influence log Kp are solute hydrogen bond basicity that lowers the permeability coefficient and solute volume that increases the permeability coefficient. Human skin,water partition coefficients, as log Ksc, have been collected for 45 compounds and yield an equation with R2,=,0.926 and SD,=,0.22 log units. We have compared the log Kp equation to equations for various other processes, but have found no process that appears to be similar to that for skin permeation. The nearest process to skin,water partition is the isobutanol,water partition system. An equation for lateral diffusion in the stratum corneum is shown to be reasonably close to various diffusion-related processes. © 2004 Wiley-Liss, Inc. and the American Pharmacists Association J Pharm Sci 93:1508,1523, 2004 [source] New developments in natural products-based anti-AIDS research,MEDICINAL RESEARCH REVIEWS, Issue 1 2007Donglei Yu Abstract This review discusses anti-HIV natural products from several compound classes, including terpenoids, coumarins, alkaloids, polyphenols, tannins, and flavonoids. Natural products can provide novel anti-AIDS chemotherapeutic leads that are structurally unique or have new mechanisms of action. The drug discovery and development process proceeds from bioactivity-directed isolation and identification of a promising lead natural product, followed by rational design-based structural modification and structure,activity relationship analyses to optimize the lead compound as a drug candidate. This process is notably exemplified by the discovery of the modified betulinic acid derivative, DSB [PA-457], which is currently in Phase II clinical trial and is the first-in-class HIV maturation inhibitor (MI). © 2006 Wiley Periodicals, Inc. Med Res Rev, 27, No. 1, 108,132, 2007 [source] Structure-hepatoprotective activity relationship study of sesquiterpene lactones: A QSAR analysisINTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, Issue 1 2009Yuliya Paukku Abstract This study has been carried out using quantitative structure-activity relationship analysis (QSAR) for 22 sesquiterpene lactones to correlate and predict their hepatoprotective activity. Sesquiterpenoids, the largest class of terpenoids, are a widespread group of substances occurring in various plant organisms. QSAR analysis was carried out using methods such as genetic algorithm for variables selection among generated and calculated descriptors and multiple linear regression analysis. Quantum-chemical calculations have been performed by density functional theory at B3LYP/6-311G(d, p) level for evaluation of electronic properties using reference geometries optimized by semi-empirical AM1 approach. Three models describing hepatoprotective activity values for series of sesquiterpene lactones are proposed. The obtained models are useful for description of sesquiterpene lactones hepatoprotective activity and can be used to estimate the hepatoprotective activity of new substituted sesquiterpene lactones. The models obtained in our study show not only statistical significance, but also good predictive ability. The estimated predictive ability (r) of these models lies within 0.942,0.969. © 2008 Wiley Periodicals, Inc. Int J Quantum Chem, 2009 [source] Quantitative structure/property relationship analysis of Caco-2 permeability using a genetic algorithm-based partial least squares methodJOURNAL OF PHARMACEUTICAL SCIENCES, Issue 10 2002Fumiyoshi Yamashita Abstract Caco-2 cell monolayers are widely used systems for predicting human intestinal absorption. This study was carried out to develop a quantitative structure,property relationship (QSPR) model of Caco-2 permeability using a novel genetic algorithm-based partial least squares (GA-PLS) method. The Caco-2 permeability data for 73 compounds were taken from the literature. Molconn-Z descriptors of these compounds were calculated as molecular descriptors, and the optimal subset of the descriptors was explored by GA-PLS analysis. A fitness function considering both goodness-of-fit to the training data and predictability of the testing data was adopted throughout the genetic algorithm-driven optimization procedure. The final PLS model consisting of 24 descriptors gave a correlation coefficient (r) of 0.886 for the entire dataset and a predictive correlation coefficient (rpred) of 0.825 that was evaluated by a leave-some-out cross-validation procedure. Thus, the GA-PLS analysis proved to be a reasonable QSPR modeling approach for predicting Caco-2 permeability. © 2002 Wiley-Liss Inc. and the American Pharmaceutical Association J Pharm Sci 91:2230,2239, 2002 [source] Characterization of novel sugarcane expressed sequence tag microsatellites and their comparison with genomic SSRsPLANT BREEDING, Issue 4 2006L. R. Pinto Abstract Microsatellites or simple sequence repeats (SSRs) are one of the most suitable markers for genome analysis as they have great potential to aid breeders to develop new improved sugarcane varieties. The development of SSR derived from expressed sequence tags (EST) opens new opportunities for genetic investigations at a functional level. In the present work, the polymorphism obtained with a subset of 51 EST,SSRs derived from sucest was compared with those generated by 50 genomic SSRs (gSSR) in terms of number of alleles, polymorphism information content, discrimination power and their ability to establish genetic relationships among 18 sugarcane clones including three Saccharum species (S. officinarum, S. barberi, S. sinense). The majority of EST,SSRs loci had four to six alleles in contrast to the seven to nine observed for the gSSRs loci. Approximately, 35% of the gSSRs had PIC values around 0.90 in contrast to 15% of the EST,SSRs. However, the mean discrimination power of the two types of SSR did not differ significantly as much as the average genetic similarity (GS) based on Dice coefficient. The correlation between GS of the two types of SSRs was high (r = 0.71/P = 0.99) and significant. Although differences were observed between dendrograms obtained with each SSR type, both were in good agreement with pedigree information. The S. officinarum clone IJ76-314 was grouped apart from the other clones evaluated. The results here demonstrate that EST,SSRs can be successfully used for genetic relationship analysis, extending the knowledge of genetic diversity of sugarcane to a functional level. [source] |