1,720,976 research outputs found
The oxygen-oxygen distance of water in crystallographic data sets
Full text linkWater is a key component of cellular biochemistry and numerous water molecules are visible in crystallographic structures. Here we report a series of data sets of crystallographic water: a high resolution data set, a cytochrome c oxidase (subunit I) data set and a carbonic anhydrase data set. These data support the evidence that short distance water molecule pairs are present both at the surface and inside the cavities of proteins. These data are related to article entitled “Oxygen-oxygen distances in protein-bound crystallographic water suggest the presence of protonated clusters” (Palese, 2020) [1]
Oxygen-oxygen distances in protein-bound crystallographic water suggest the presence of protonated clusters
Full text linkBackground: The availability of high-resolution X-ray structures has shown that proteins contain numerous water molecules, but their role is still not fully understood. Protonated and deprotonated water species are often involved in biochemical reactions. However protons are exceedingly difficult to detect directly because they are electron-poor species. Methods: The oxygen‐oxygen distance of the crystallographic water molecules was analyzed in a large high-resolution data set. Moreover, a detailed analysis was carried out on the protein-bound water in the available structures of carbonic anhydrase II and cytochrome c oxidase, chosen as protein models in which protonated and deprotonated water species play a significant role. Results: The analysis shows an excess of water-water distances below the expected value for hydrogen bond. In the cavities and on the surface of the considered model proteins, clusters of water molecules are found, whose structure suggests the presence of chemical species deriving from self-ionization of water. Conclusions: The presence of a small maximum below the hydrogen bond threshold in the oxygen‐oxygen distance distribution of crystallographic water molecules, along with the location of many of these water clusters, suggest the presence of Zundel-like structures in, or near, the proteins. Particularly significant is the presence of such structures in protein regions which have been identified as proton antennae or channels. General significance: This work shows the possibilities, still unexplored, offered by this type of analysis in detecting in structures obtained by X-ray diffraction the presence of aqueous protons or hydroxide ions, which are chemical species as important as elusive
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Systematic search for sars-cov-2 main protease inhibitors for drug repurposing: Ethacrynic acid as a potential drug
Full text linkIn 2019 an outbreak occurred which resulted in a global pandemic. The causative agent has been identified in a virus belonging to the Coronaviridae family, similar to the agent of SARS, referred to as SARS-CoV-2. This epidemic spread rapidly globally with high morbidity and mortality. Although vaccine development is at a very advanced stage, there are currently no truly effective antiviral drugs to treat SARS-CoV-2 infection. In this study we present systematic and integrative antiviral drug repurposing effort aimed at identifying, among the drugs already authorized for clinical use, some active inhibitors of the SARS-CoV-2 main protease. The most important result of this analysis is the demonstration that ethacrynic acid, a powerful diuretic, is revealed to be an effective inhibitor of SARS-CoV-2 main protease. Even with all the necessary cautions, given the particular nature of this drug, these data can be the starting point for the development of an effective therapeutic strategy against SARS-CoV-2
Variations on the Author
Full text link“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
SARS-CoV-2 main protease active site ligands in the human metabolome
Full text linkIn late 2019, a global pandemic occurred. The causative agent was identified as a member of the Coronaviridae family, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, we present an analysis on the substances identified in the human metabolome capable of binding the active site of the SARS-CoV-2 main protease (Mpro). The substances present in the human metabolome have both endogenous and exogenous origins. The aim of this research was to find molecules whose biochemical and toxicological profile was known that could be the starting point for the development of antiviral therapies. Our analysis revealed numerous metabolites- including xenobiotics-that bind this protease, which are essential to the lifecycle of the virus. Among these substances, silybin, a flavolignan compound and the main active component of silymarin, is particularly noteworthy. Silymarin is a standardized extract of milk thistle, Silybum marianum, and has been shown to exhibit antioxidant, hepatoprotective, antineoplastic, and antiviral activities. Our results-obtained in silico and in vitro-prove that silybin and silymarin, respectively, are able to inhibit Mpro, representing a possible food-derived natural compound that is useful as a therapeutic strategy against COVID-19
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Full text linkWe 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
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