1,721,053 research outputs found

    Evidence for α-proton abstraction and carbanion formation involving a functional histidine residue in lentil seedling amine oxidase

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    Lentil seedling amine oxidase catalyzes the oxidation of putrescine and in the presence of tetranitromethane gives rise to the formation of nitroform anion. The initial rate of substrate and enzyme-dependent nitroform production is linearly related to the functional active site content and is proportional to the tetranitromethane concentration. Diethylpyrocarbonate modifies two histidyl residues on the lentil amine oxidase. Incubation of the enzyme with diethylpyrocarbonate at 25 degrees C and pH 7.0 irreversibly inhibits enzyme activity by a pseudo first-order kinetics process. The data obtained are consistent with the enzyme-dependent abstraction of an alpha-proton from the substrate to form an intermediate enzyme bound carbanion and indicate a functional role for histidine in lentil amine oxidase catalysis consistent with that of a general base in proton abstraction

    Substrate specificity of lentil seedling amine oxidase

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    Copper diamine oxidase from lentil (Lens culinaris) seedlings was shown to be able to catalyze the oxidative deamination of a wide range of aliphatic and aromatic monoamine compounds, including some amino acids. Although the catalytic efficiencies were only 1-3% of that measured with the diamine substrate putrescine, they were still comparable to those of specialized monoamine oxidases. In particular, the lentil enzyme oxidized benzylamine and histamine with K(m) and Vmax values similar to those found for the mammalian enzymes benzylamine oxidase and histaminase. Cysteamine was found to be a substrate of the enzyme, whereas hypotaurine and taurine were found to be neither substrates nor inhibitors of the enzyme. Quite unexpectedly the amino acids L-ornithine and L-lysine were oxidized by lentil enzyme, and beta-alanine and gamma-aminobutyric acid were oxidized only at high concentrations of enzyme. These results suggest that enzymes normally classified as diamine oxidases could in fact have a more diversified role in metabolism than recognized so far

    Fragment Prioritization on a Large Mutagenicity Dataset

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    The identification of structural alerts is one of the simplest tools used for the identification of potentially toxic chemical compounds. Structural alerts have served as an aid to quickly identify chemicals that should be either prioritized for testing or for elimination from further consideration and use. In the recent years, the availability of larger datasets, often growing in the context of collaborative efforts and competitions, created the raw material needed to identify new and more accurate structural alerts. This work applied a method to efficiently mine large toxicological dataset for structural alert showing a strong statistical association with mutagenicity. In details, we processed a large Ames mutagenicity dataset comprising 14,015 unique molecules obtained by joining different data sources. After correction for multiple testing, we were able to assign a probability value to each fragment. A total of 51 rules were identified, with p-value < 0.05. Using the same method, we also confirmed the statistical significance of several mutagenicity rules already present and largely recognized in the literature. In addition, we have extended the application of our method by predicting the mutagenicity of an external data set

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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