1,720,991 research outputs found
Studi Interaksi Senyawa Turunan Saponin dari Daun Bidara Arab (Ziziphus spina-christi L.) sebagai Antiseptik Alami secara In Silico
Get PDFChristinin merupakan senyawa turunan glikosida saponin yang paling banyak terdapat dalam daun bidara arab (Ziziphus spina-christi L.). Terdapat empat tipe christinin yaitu christinin-A, B, C, dan D yang diduga memiliki aktivitas sebagai antimikroba yang efektif terhadap bakteri dan jamur, seperti Staphylococcus epidermidis, Echerichia coli, dan Candida albicans yang sering menyebabkan infeksi pada permukaan kulit yang biasanya dapat diatasi dengan penggunaan cairan antiseptik. Penelitian ini bertujuan untuk mengidentifikasi, mengevaluasi serta mengeksplorasi afinitas dan interaksi molekular antara senyawa christinin-A, B, C, dan D terhadap makromolekul target pada Staphylococcus epidermidis, Echerichia coli dan Candida albicans dengan menggunakan simulasi penambatan molekular secara in silico. Molekul senyawa uji terlebih dahulu dioptimasi geometri dengan menggunakan perangkat lunak GaussView 5.0.8 dan Gaussian09. Konformasi terbaik dipilih untuk dilakukan studi interaksi terhadap makromolekul target dengan menggunakan perangkat lunak MGLTools 1.5.6 yang dilengkapi dengan AutoDock 4.2. Interaksi yang terbentuk selanjutnya diamati dengan menggunakan perangkat lunak BIOVIA Discovery Studio 2020. Berdasarkan hasil dari simulasi penambatan molekular, senyawa christinin memiliki afinitas yang baik terhadap makromolekul target pada Staphylococcus epidermidis, Echerichia coli dan Candida albicans. Dengan demikian, senyawa tersebut diprediksi dapat digunakan sebagai kandidat komponen utama dari antiseptik alami
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Identifikasi Mekanisme Molekuler Senyawa Bioaktif Peptida Laut sebagai Kandidat Inhibitor Angiotensin-I Converting Enzyme (ACE)
Get PDFMarine peptide bioactive compounds are currently the focus of research because they have unique properties. One important biological roles of these peptide compounds is an antihypertensive agent against Angiotensin-I Converting Enzyme (ACE) activity. There are several peptide compounds that have been proved to inhibit ACE receptors, such as peptide compounds produced by sea cucumbers (Acaudina molpadioides), blue shellfish (Mytilus edulis), and tuna fish (Thunnini). In this research, identification and evaluation of interactions that occur between peptide compounds with ACE receptors were carried out using protein-peptide docking methods. Sequencing of peptide compounds was modeled using PEP-FOLD server. The best conformation was chosen to explore the interaction of ACE receptor macromolecules using PatchDock software. Interactions that occur were
observed further using BIOVIA Discovery Studio 2020 software. Based on the results of protein-peptide docking, blue shellfish peptide compounds and tuna fish had a good affinity for the ACE receptor, in which the ACE score were −391.62 kJ/mol and −516.56 kJ/mol, respectively. Thus, the marine peptide bioactive compound is predicted to be a promising candidate for peptidebased ACE receptor inhibitors
Analysis of SARS-CoV-2 Spike Protein as The Key Target in the Development of Antiviral Candidates for COVID-19 through Computational Study
Get PDFThe recent public health crisis is threatening the world with the emergence of the spread of the new coronavirus 2019 (2019-nCoV) or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This virus originates from bats and is transmitted to humans through unknown intermediate animals in Wuhan, China in December 2019. Advances in technology have opened opportunities to find candidates for natural compounds capable of preventing and controlling COVID-19 infection through inhibition of spike proteins of SARS-CoV-2. This research aims to identify, evaluate, and explore the structure of spike protein macromolecules from three coronaviruses (SARS-CoV, MERS-CoV, and SARS-CoV-2) and their effects on Angiotensin-Converting Enzyme 2 (ACE-2) using computational studies. Based on the identification of the three spike protein macromolecules, it was found that there was a similarity between the active binding sites of ACE-2. These observations were then confirmed using a protein-docking simulation to observe the interaction of the protein spike to the active site of ACE-2. SARS-COV-2 spike protein has the strongest bond to ACE-2, with an ACE score of ?1341.85 kJ/mol. Therefore, some of this information from the results of this research can be used as a reference in the development of competitive inhibitor candidates for SARS-CoV-2 spike proteins for the treatment of COVID-19 infectious diseases
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