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        Multi-epitope vaccine against drug-resistant strains of Mycobacterium tuberculosis: a proteome-wide subtraction and immunoinformatics approach

        Md Tahsin Khan,Araf Mahmud,Md. Muzahidul Islam,Mst. Sayedatun Nessa Sumaia,Zeaur Rahim,Kamrul Islam,Asif Iqbal Korea Genome Organization 2023 Genomics & informatics Vol.21 No.3

        Mycobacterium tuberculosis (Mtb) is the causative agent of tuberculosis, one of the most deadly infections in humans. The emergence of multidrug-resistant and extensively drug-resistant Mtb strains presents a global challenge. Mtb has shown resistance to many frontline antibiotics, including rifampicin, kanamycin, isoniazid, and capreomycin. The only licensed vaccine, Bacille Calmette-Guerin, does not efficiently protect against adult pulmonary tuberculosis. Therefore, it is urgently necessary to develop new vaccines to prevent infections caused by these strains. We used a subtractive proteomics approach on 23 virulent Mtb strains and identified a conserved membrane protein (MmpL4, NP_214964.1) as both a potential drug target and vaccine candidate. MmpL4 is a non-homologous essential protein in the host and is involved in the pathogen-specific pathway. Furthermore, MmpL4 shows no homology with anti-targets and has limited homology to human gut microflora, potentially reducing the likelihood of adverse effects and cross-reactivity if therapeutics specific to this protein are developed. Subsequently, we constructed a highly soluble, safe, antigenic, and stable multi-subunit vaccine from the MmpL4 protein using immunoinformatics. Molecular dynamics simulations revealed the stability of the vaccine-bound Tolllike receptor-4 complex on a nanosecond scale, and immune simulations indicated strong primary and secondary immune responses in the host. Therefore, our study identifies a new target that could expedite the design of effective therapeutics, and the designed vaccine should be validated. Future directions include an extensive molecular interaction analysis, in silico cloning, wet-lab experiments, and evaluation and comparison of the designed candidate as both a DNA vaccine and protein vaccine.

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        Structural Optimization of Si Nanowires for Ultimate Efficiency Improvement via Tuning Optical Properties

        Sakti Prasanna Muduli,Md Asif Khan,Paresh Kale 한국전기전자재료학회 2023 Transactions on Electrical and Electronic Material Vol.24 No.6

        Si nanostructures are preferred for optoelectronic applications over bulk Si owing to their enhanced optical and electrical characteristics. Si nanowires (SiNWs) and porous SiNWs (PSiNWs) are the widely studied structures for photovoltaics. The optical and electrical characteristics depend on the structural attributes of the nanowires-length, diameter, and porosity of PSiNWs. Tailoring the structural attributes is possible with metal-assisted chemical etching (MACE), a cost-effective method for fabricating the SiNWs and PSiNWs. However, the process involves multiple parameters. The paper optimizes the MACE parameters such as wafer resistivity, HF concentration, MACE duration, temperature, and H2O2 concentration for the maximum length, minimum diameter, undistorted nanowires, and minimum tip agglomeration. Wafer resistivity optimization eliminates the expensive options with inferior nanowire diameters, whereas the other MACE parameters control the nanowire length and the diameter by limiting the vertical and horizontal etching. The work optimizes MACE parameters to investigate the influence on reflectance, band gap, and ultimate efficiency through changes in the structural attributes. The investigation establishes a correlation between the aspect ratio and the ultimate efficiency to optimize the MACE parameters.

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