1,720,976 research outputs found
Epitope Mapping Daerah Conserved Pada Kapsid L1 Human Papillomavirus Sebagai Pengembangan Vaksin Pencegahan Kanker Serviks
Full text linkHuman papillomavirus (HPV) merupakan virus yang memainkan peran
penting dalam terjadinya kanker serviks, HPV adalah anggota famili
papoviridae, genus papillomavirus. Gen HPV terdiri atas 2 bagian yaitu
early dan late gene. Protein early pada HPV meliputi E1, E2, E4, E5, E6,
dan E7 Late gene yang terekspresi dari late promoter berperan sebagai
pengkode protein kapsid L1 dan L2. Protein L1 memiliki region conserved
yang tersusun oleh residu cystein dan lysine, kedua residu tersebut
memiliki keterlibatan dalam proses pengikatan antara virion dengan
reseptor host. Penelitian sebelumnya menunjukkan bahwa vaksin dapat
dikembangkan berdasarkan epitop yang memiliki daerah conserved.
Penelitian ini penting dilakukan untuk mengidentifikasi sekuens protein
conserved pada L1 kapsid HPV, memprediksi epitope mapping sel B serta
antigenisitas pada daerah conserved kapsid L1 HPV, serta kesamaan residu
asam amino penyusun epitop dengan reseptor permukaan sel tubuh
manusia. Daerah conserved teridentifikasi pada L1 HPV yang berpotensi
sebagai epitop sel B berdasarkan analisis epitope mapping yaitu posisi 23-
46 dan 97-119 dengan peptida EGRGQPLGGSGHPNDDEDRDKQ dan
RHNGGPGPSGSSQFNKPYWAQGN serta masing-masing memiliki
panjang peptida sebesar 22-mer dan 23-mer. Epitop dengan posisi 97-119
memiliki skor antigenisitas tinggi dan kesamaan urutan residu asam amino
yang rendah, terhadap reseptor permukaan sel tubuh manusia. Jadi peptida
RHNGGPGPSGSSQFNKPYWAQGN dengan panjang 23-mer dapat
digunakan sebagai rujukan pengembangan vaksin pencegahan kanker
serviks
Computational Design of siRNA Targeting Homo sapiens HER2 Splice Variant mRNA: A Potential Strategy for Breast Cancer Intervention
Full text linkThis research focuses on an innovative approach utilizing in silico methods to design small interfering RNA (siRNA) targeting the HER2 splice variant mRNA in Homo sapiens. HER2 is known to be overexpressed in certain types of breast cancer, contributing to tumor progression and poor prognosis. By designing siRNA molecules that can specifically bind to and degrade HER2 mRNA, this study aims to reduce HER2 protein levels, thereby hindering the growth and spread of breast cancer cells. The in-silico design process involves identifying optimal siRNA sequences that maximize target specificity and minimize off-target effects, which is crucial for potential therapeutic applications. This approach represents a promising step towards personalized medicine in the treatment of breast cancer, offering a targeted strategy to combat this variant associated with aggressive disease. The methodology comprises the RNA computational tools used for the design, the selection criteria for siRNA candidates, and the potential implications of this research in a clinical setting. The resulting outcomes are 2D and 3D siRNA designs that could potentially silence HER2 mRNA through an in-silico approach. The leads were generated using a de novo modeling approach, with no existing template available in GenBank. Moreover, it is concluded that computational tools can generate sufficiently stable 2D and 3D RNA models that could be advanced for further molecular simulation studies. The benefit of this outcome is that it facilitates better preparation for wet laboratory experiments in siRNA assays, with future implementation in vivo and clinical trial settings
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
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
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
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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