Immunobioinformatics of Rabies Virus in Various Countries of Asia : Glycoprotein Gene

he purpose of this study was to analyze the genomic information of the glycoprotein gene of rabies virus (RABV) in several countries of Asia. The genomics information of vaccine virus strain and some local isolates were retrieved from GeneBank® (National Center for Biotechnology Information, USA). Ten genomics informations are consist of ERA vaccine virus, two viruses from Indonesia, a virus from Myanmar, India, Nepal, South Korea, Japan, Sri Lanka, and Iran. This bioinformatics process the ten genomics data in order to find pattern in 1,575 bp of glycoprotein gene of RABV. In conclusion, this study have revealed the data of homology, B-cell epitope prediction, genetic distance, and molecular phylogenic analysis of RABV in various countries of Asia. We indicated that the glycoprotein, the immunogenic surface protein of RABV, has important part for vaccine design Keywords: Bioinformatics Lyssavirus glycoprotein rabies vaccin

Application of CRISPR-Cas9 genome editing technology in various fields: A review

CRISPR-Cas9 has emerged as a revolutionary tool that enables precise and efficient modifications of the genetic material. This review provides a comprehensive overview of CRISPR-Cas9 technology and its applications in genome editing. We begin by describing the fundamental principles of CRISPR-Cas9 technology, explaining how the system utilizes a single guide RNA (sgRNA) to direct the Cas9 nuclease to specific DNA sequences in the genome, resulting in targeted double-stranded breaks. In this review, we provide in-depth explorations of CRISPR-Cas9 technology and its applications in agriculture, medicine, environmental sciences, fisheries, nanotechnology, bioinformatics, and biotechnology. We also highlight its potential, ongoing research, and the ethical considerations and controversies surrounding its use. This review might contribute to the understanding of CRISPR-Cas9 technology and its implications in various fields, paving the way for future developments and responsible applications of this transformative technology

Anti–Peri-implantitis Bacteria’s Ability of Robusta Green Coffee Bean (Coffea Canephora) Ethanol Extract: An In Silico and In Vitro Study

Introduction Treatment of dentofacial malocclusion with mini orthodontic implants may be promising but it is frequently related to bacterial infection–induced production of inflammatory mediators that affect mini-implant osseointegration. For robusta green coffee bean (RGCB; Coffea canephora), ethanol extract may be beneficial as antioxidant, anti-inflammatory, induce osteogenic, and growth factor protein for anti–peri-implantitis. Objective This study was aimed to investigate RGCBE extract as antioxidant and anti–peri-implantitis bacteria through in vitro study and its potential as antioxidant, antibacterial, anti-inflammatory, antibone resorption, and proosteogenic through in silico study. Materials and Methods Absorption, distribution, metabolism, excretion and toxicity prediction, molecular docking simulation, and visualization of chlorogenic acid (CGA) and coumaric acid (CA) as anti-inflammatory, antioxidant, and antibacterial were investigated in silico. Inhibition zone by diffusion method, minimum inhibitory concentration (MIC), and minimum bactericidal concentration (MBC) of RGCBE extract against Aggregatibacter actinomycetemcomitans (Aa), Porphyromonas gingivalis (Pg), Fusobacterium nucleatum (Fn), and Prevotella intermedia (Pi) were done

Biological Activity of Kencur (Kaempferia Galanga L.) Against SARS-CoV-2 Main Protease: in Silico Study

COVID-19 is a syndrome affecting pulmonary function but rather in serious conditions leads to death. Kencur (Kaempferia galanga L.) is a type of rhizome plant in Indonesia that is used as an herbal medicine called Jamu because it is believed to be able to cure various types of diseases. One of which is for anti-virus. The goal of this study was to see how effective the compounds in kencur are against COVID-19 with a molecular docking strategy. Kencur biological activities were obtained from the library and the design of the Acute Respiratory Syndrome Main protease (Mpro) has been gained from the protein data bank website. In addition, the biological activities in kencur were examined utilizing Lipinski's five-point concept was used to evaluate their substance molecular characteristics. Molecular docking analysis was performed with the PyRx Virtual Screening Tool software. The PyRx program was used for molecular docking simulation. While, the Discovery Studio Visualizer program was used to visualize the interaction between SARS-CoV-2 (Mpro) and the pharmacologically active metabolites in kencur. The docking evaluation on three antiviral substances revealed that Quercetin had the lowest binding energy when bound with Mpro and thus had the greatest potential as a viral inhibitor