Publications by authors named "Aisyah Fitriannisa Prawiningrum"

Article Synopsis
  • COVID-19 can trigger a severe immune response known as a cytokine storm, with interleukin-6 (IL-6) playing a key role in this inflammatory process that can lead to serious complications.
  • A plant was studied for its potential anti-inflammatory properties through in silico methods, where active compounds were extracted and analyzed for their interaction with IL-6.
  • The study identified eight active compounds that could interact with IL-6, with pinostrobin chalcone showing the best interaction profile, suggesting the plant may be a promising anti-inflammatory treatment for COVID-19.
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Background: Since the beginning of the coronavirus disease 2019 (COVID-19) outbreak, dynamic mutations in the receptor-binding domain (RBD) in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein have altered the pathogenicity of the variants of the virus circulating in Indonesia. This research analyzes the mutation trend in various RBD samples from Indonesia published in the Global Initiative on Sharing All Influenza Data (GISAID) database using genomic profiling.

Method: Patients in Indonesia infected with SARS-CoV-2, whose samples have been published in genomic databases, were selected for this research.

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Article Synopsis
  • The study aimed to explore the biological mechanisms behind polycystic ovarian syndrome (PCOS) by analyzing protein-protein interaction networks (PPINs) based on genes linked to PCOS.
  • Researchers used in silico methods, analyzing gene data from Genecards to create a PPIN with 82 genes and identify 19 significant gene clusters related to ovarian steroidogenesis and metabolic pathways.
  • The findings indicate that these gene clusters play a crucial role in the development of PCOS, though some important genes identified may require further investigation for a clearer understanding.
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Vaccines are an upcoming medical intervention for breast cancer. By targeting the tumor antigen, cancer vaccines can be designed to train the immune system to recognize tumor cells. Therefore, along with technological advances, the vaccine design process is now starting to be carried out with more rational methods such as designing epitope-based peptide vaccines using immunoinformatics methods.

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