1,720,958 research outputs found
IDENTIFICATION OF POTENTIAL ANTIVIRUS FROM Moringa oleifera LEAF AS MPRO SARS-COV-2 INHIBITOR: STUDY OF MOLECULAR DOCKING
Corona virus disease/COVID-19 is an acute respiratory infection caused by SARS-CoV-2 and has become a pandemic. COVID-19 can be prevented by efforts such as physical distancing, washing hands, using masks and self-isolation as well as regional isolation. Moringa is a plant that can be used both as food and medicine. The purpose of this study was to observe the activity of Moringa leaf compounds in inhibiting Mpro (main protease) SARS-CoV-2. Moringa leaf compounds tested were Gamma tocopherol, Benzyl glucosinolate and Chlorogenic acid. The compound was taken from pubchem, while Mpro SARS-CoV-2 (receptor) was obtained from the world protein bank with the PDB code 6W63. This research was conducted using the In Silico method and AutoDock Vina software was used for the tethering process. The results of gridbox optimization by re-tethering control ligands obtained RMSD results of 0.122 . The results showed free energy Gibbs (G) Gamma tocopherol (-6.8 kcal/mol), Benzyl glucosinolat (-6.6 kcal/mol), and Chlorogenic acid (-7.0 kcal/mol) which indicated a stable inhibitory reaction of Moringa leaf compounds against Mpro SARS-CoV-2. Based on Lipinski's rules, the compounds from Moringa leaves tested were qualified to be used as herbal medicines to be used orally
PERBEDAAN PROFIL LIPID PASIEN STROKE ISKEMIK DAN STROKE HEMORAGIK DI RSUD MEURAXA KOTA BANDA ACEH
Stroke termasuk penyakit serebrovaskular yang ditandai dengan kematian jaringan otak (infark serebral) yang terjadi karena berkurangnya aliran darah ke otak. Serangan stroke umumnya menyebakan kerusakan yang serius atau nekrosis pada jaringan otak. Salah satu faktor risiko stroke adalah dislipidemia. Penelitian ini bertujuan untuk mengetahui perbedaan profil lipid pada pasien stroke iskemik dan stroke hemoragik. Desain yang digunakan dalam peneitian ini adalah studi potong lintang (Cross Sectional) yang menggunakan data sekunder pasien stroke dari catatan rekam medik RSUD Meuraxa Banda Aceh. Analisis data menggunakan Uji T-test sampel tidak berpasangan (Independent sample t test) dan uji non-parametrik Mann-Whitney U test. Pengujian normalitas data dilakukan dengan metode Shapiro-Wilk test. Penelitian ini berfokus pada pasien stroke iskemik dan stroke hemoragik rentang usia 50-70 tahun periode Januari-Desember 2019. Jumlah sampel yang digunakan 56 pasien stroke yang terdiri dari 30 pasien stroke iskemik dan 26 pasien stroke hemoragik. Hasil penelitian ini menunjukan nilai p untuk kolesterol total, LDL, HDL, dan trigliserida, berturut-turut 0,013, 0,271, 0,040, dan 0,421. Terdapat perbedaan profil lipid pada pasien stroke iskemik dan stroke hemoragik
SIMULASI DOCKING SENYAWA AKTIF DAUN BINAHONG SEBAGAI INHIBITOR ENZYME ALDOSE REDUCTASE
Sindroma metabolik merupakan masalah dunia yang disebabkan salah satunya oleh diabetes mellitus. Daun binahong merupakan tanaman yang sering digunakan untuk mengobati berbagai penyakit. Penelitian ini bertujuan untuk melihat aktivitas inhibisi senyawa daun binahong untuk menghambat aldose reductase yang berperan mengubah glukosa menjadi sorbitol dengan cara simulasi docking. Senyawa dari daun binahong adalah asam ursolat, vitexin dan oleonalat (ligan uji). Senyawa tersebut di ambil melalui situs pubchem, sedangkan enzyme aldose reductase (reseptor) didapat dari bank protein dunia dengan kode PDB 2HV5. Penelitian ini menggunakan teknik In Sillico dengan menggunakan perangkat lunak AutoDock Vina dan Discovery Studio serta Ligplot sebagai visualisasinya. Hasil optimasi gridbox dengan melakukan penambatan ulang ligan pembanding dan diperoleh RMSD sebesar 0,7 Å. Hasil docking menunjukkan energi bebas gibbs (∆G) Aldose Reductase (-11,7), Vitexin (-8,3), Asam Ursolat (-7,7) dan Oleonalat (-8,6) yang menunjukan adanya reaksi inhibisi yang stabil dari senyawa daun binahong dan ligan pembanding. Berdasarkan aturan dari Lipinski’s Rule menunjukan senyawa dari daun binahong memenuhi dari aturan Lipinski’s Rule yang berarti dapat digunakan secara oral kecuali Vitexin dan ligan pembanding zopolrestat melebihi dari jumlah atom.
The metabolic syndrome is the cause of death around the world caused by diabetic mellitus. Binahong leaf is a kind of plant that is widely used to treat various diseases. This study aims to investigate the inhibitory activity of binahong leaves compound in inhibiting the aldose reductase which has role of converting glucose into sorbitol by docking simulation. The compound of binahong leaves consists of ursolic acid, vitexin, and oleonolic acid (ligand testing). These compound were taken from PubChem site, while aldose reductase enzyme (receptor) was obtained from the world protein bank with PDB 2HV5 code. This study incorporated in silica technique by using Auto dock vina software, Discovery Studio and Ligplot as visualization. The result of grid box optimization by redocking comparative ligand was 0.7Å RMSD. The docking result showed that the free Gibbs energy (∆G) of aldose reductase was (-11.7), Vitexin (-8.3), Ursolic acid (-7.7) and Oleonolic acid (-8.6). These value suggested that there was a stable inhibition reaction from the binahong leaves compound and the comparative ligand. Based on the Lipinski Rule, the composition of binahong leaves compound meets the Lipinski Rule criteria which means this medicine can be used orally except for vitexin and comparative ligands of zopolrestate which exceed the number of the atom
Uji Aktivitas Antidiabetes Senyawa Baru Daun Yakon (Smallanthus sonchifolius) sebagai Inhibitor Enzim DPP-4: Studi in Silico
Diabetes melitus merupakan gangguang kesehatan global yang menjadi perhatian penting untuk menemukan pencegahan dan terapi baru. Diabetes melitus dapat diobati menggunakan obat golongan inkreitin untuk menghambat kerja enzim DPP-4. Daun yakon (Smallanthus sonchifolius) merupakan tanaman herbal yang sering digunakan untuk mengobati berbagai penyakit dan diketahui memiliki turunan senyawa sekunder baru. Tujuan penelitian ini adalah mengetahui aktivitas senyawa baru daun yakon menginhibisi enzim DPP-4 berdasarkan energi dan ikatan kimia secara in silico. Senyawa baru daun yakon adalah turunan asam octadecatrienoic dan Benzyl glikosida. Senyawa tersebut diambil dari pubchem dan digambarkan kembali menggunakan chemdraw, sedangkan enzim DPP-4 (reseptor) didapat dari bank protein dunia dengan kode PDB ID: 3F8S. Penelitian ini dilakukan dengan metode In Silico dan perangkat lunak AutoDock Vina digunakan untuk proses penambatan. Hasil optimasi gridbox dengan melakukan penambatan ulang ligan kontrol diperoleh hasil RMSD sebesar 1.628 Å. Hasil penambatan molekuler dapat disimpulkan bahwa senyawa baru daun yakon berpotensi menghambat aktivitas enzim DPP-4 sebagai antidiabetes berdasarkan nilai energi bebas ΔG dan ikatan kimia. Interaksi yang terbentuk antara ligan dan reseptor tepat pada sisi aktif enzim DPP-4 yaitu Glu205, Glu206, Asn710, Tyr662, Arg125, Ser630, Phe357, Tyr666, Tyr547 dan Ser209. Interaksi yang terjadi antara ligan dan reseptor didominasi oleh ikatan hidrogen. Senyawa 13(R)-hydroxyoctadeca-(9E,11E,15Z)-trienoic acid (ligan 1), benzyl +alcohol 7-O-α-L-arabinopyranosyl-(1"→2')-β-D-glucopyranoside (ligan 2), 13(R)-Hydroxy-octadeca-(9Z,11E,15Z)-trienoic acid (ligan 3) memiliki nilai ΔG sebesar -6.2 kkal/mol, -7.7 kkal/mol dan -5.6 kkal/mol. Namun, Benzyl alcohol 7-O-α-L-arabinopyranosyl (1"→2')-β-D-glucopyranoside (ligan 2) lebih berpotensi menghambat enzim DPP-4 karena nilai energi bebas Gibbs (ΔG) dan ikatan kimia yang terbentuk lebih negatif dan stabil dibandingkan ligan 1 dan
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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
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