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https://www.selleckchem.com/products/mrtx1133.html The emerging Coronavirus Disease 2019 (COVID-19) pandemic has posed a serious threat to the public health worldwide, demanding urgent vaccine provide. According to the virus feature as an RNA virus, a high rate of mutations imposes some vaccine design difficulties. Bioinformatics tools have been widely used to make advantage of conserved regions as well as immunogenicity. In this study, we aimed at immunoinformatic evaluation of SARS-CoV-2 proteins conservancy and immunogenicity to design a preventive vaccine candidate. Spike, Membrane and Nucleocapsid amino acid sequences were obtained, and four possible fusion proteins were assessed and compared in terms of structural features and immunogenicity, and population coverage. MHC-I and MHC-II T-cell epitopes, the linear and conformational B-cell epitopes were evaluated. Among the predicted models, the truncated form of Spike in fusion with M and N protein applying AAY linker has high rate of MHC-I and MCH-II epitopes with high antigenicity and acceptable population coverage of 82.95% in Iran and 92.51% in Europe. The in silico study provided truncated Spike-M-N SARS-CoV-2 as a potential preventive vaccine candidate for further in vivo evaluation.Gene therapy has emerged as a tool for the treatment of systemic metabolic disorders as osteoporosis (OP). However, the design of a suitable vehicle able to efficiently load and release the genetic material on the target cells is still a challenge. Moreover, the internalization pathway of nanosystems has been described to be dependent on their surface characteristics and the cell type evaluated. In this study, we aim at obtaining PEGylated lipid-PLGA nanoparticles (NPs) with variable surface charge able to incorporate GapmeRs (single-strand antisense oligonucleotides) for OP treatment. Nanoparticles showing negative, positive, and neutral surface charge were obtained by modulating the lipid composition. All formulations showed

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