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141.
《Saudi Journal of Biological Sciences》2022,29(12):103458
COVID-19 is a progressing pandemic of coronavirus disease-2019, which had drowned the whole world in a deep sorrow sea. Uncountable deaths were extending the list of deaths every single day. The present research was aimed to study the multi-target interaction of coumarins against COVID-19 using molecular docking analysis. The structure of coumarin compounds was checked for ADME and Lipinski rule of five by using SwissADME, an online tool. SARS-CoV-2 proteins such as RdRp, PLpro, Mpro and spike protein were collected from the Protein Data Bank. The molecular docking study was performed in the PyRx tool, and the molecular interactions were visualised by Discovery Studio Visualizer. All the coumarin compounds used in the study were obeyed Lipinski’s rule of 5 without any violations. All the three designed derivatives of phenprocoumon, hymecromone, and psoralen were showed high binding affinity and prominent interactions with the drug target. The presence of –OH groups in the compound, His41, a catalytic dyad in Mpro, number of and the distance of hydrogen bond interactions with SARS-CoV-2 targets was accountable for the high binding attractions. The modified drug structures possess better binding efficacy towards at least three targets compared to their parent compounds. Further, molecular dynamic studies can be suggested to find the ligand–protein complex stability. The present study outcome reveals that the designed coumarins can be synthesised and examined as a potent inhibitory drug of SARS-CoV-2. 相似文献
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Tamer Z. Attia John M. Boushra Ahmed F. Abdel Hakiem Adel S. Lashien Deena A. M. Noureldeen 《Luminescence》2022,37(7):1192-1199
Following the sudden widespread of the novel coronavirus (COVID-19) which first appeared in Wuhan city. Remdesivir (REM) was the first medicine licensed by the US Food and Drug Administration (FDA) for COVID-19 infected hospitalized patients. Hence, there was an urgent demand for the optimization of efficient selective and sensitive methods to be developed for the determination of REM in pharmaceuticals as well as biological samples. A sensitive and simple green spectrofluorimetric method has been developed to determine REM in pharmaceutical formulation, in addition to, spiked human plasma. The technique involves measuring the native fluorescence of REM in distilled water at 410 nm followed by excitation at 241 nm, giving a linear relationship over the range 50.00–500.00 ng/mL, and then improving the sensitivity of REM through micellar formation using 2.00% w/v sodium dodecyl sulfate (SDS). A linear relationship has been obtained over the range 10.00–350.00 ng/mL having detection and quantitation limits of 2.34 and 7.10 ng/mL, respectively. Different analytical parameters have been carefully studied. A validation study has been conducted successfully in accordance with the FDA and the International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH) guidelines. The developed methods' greenness was assessed utilizing a greenness profile and analytical eco-scale standards. Both methods were discovered to be environmentally friendly and could be successfully used for the determination of the studied drugs in pharmaceutical formulation and human plasma with good accuracy and high precision. As a result, the developed spectrofluorimetric methods could be ideally suited for determination of REM in quality control and medicinal laboratories. 相似文献
144.
跨膜蛋白63A(transmembrane protein 63,TMEM63A)是一种机械敏感性离子通道(mechanosensitive ion channel,MSC),在髓鞘形成过程中发挥重要作用。TMEM63A于2019年与髓鞘形成低下性脑白质营养不良19型(hypomyelinating leukodystrophy 19,HLD19)相关联,确定为HLD19的致病基因。髓鞘是神经系统中由少突胶质细胞形成的兼具营养轴突和加速动作电位传导的结构,髓鞘形成障碍可表现为髓鞘形成低下、髓鞘囊性化和髓鞘变性。髓鞘中脂质含量丰富,不同脂质参与髓鞘形成、修复和胶质细胞与轴突识别等重要过程。TMEM63A变异导致的HLD19为髓鞘形成低下性疾病。TMEM63A变异可引起渗透压改变,细胞上TMEM63A跨膜蛋白受机械刺激产生电流,从而影响少突胶质细胞分化、成熟,导致髓鞘形成异常;同时,TMEM63A变异也可引起细胞膜脂质的分布异常,影响脂质正常功能,异常的脂质通过参与不同的髓鞘形成环节最终导致了髓鞘形成障碍。 相似文献
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Long noncoding RNA H19 participates in metformin-mediated inhibition of gastric cancer cell invasion
Peiwen Li Linhao Tong Yongxi Song Jingxu Sun Jinxin Shi Zhonghua Wu Yao Diao Yaming Li Zhenning Wang 《Journal of cellular physiology》2019,234(4):4515-4527
Recent research suggests that the first-line oral antidiabetes drug metformin may prevent gastric cancer progression and improve prognosis. Many studies have also shown that long noncoding RNAs (lncRNAs) play important roles in many biological processes. Therefore, we aimed to explore whether lncRNAs participate in the mechanisms by which metformin affects gastric cancer cells. In the current study, we found that metformin significantly inhibited the cellular functions of gastric cancer cells through Cell Counting Kit-8 and invasion assays. We found that lncRNA H19 was greatly downregulated in gastric cancer cells treated with metformin using lncRNA microassays. Based on bioinformatics analyses of the Oncomine and The Cancer Genome Atlas databases, H19 is shown to be overexpressed in gastric cancer tissues, with increased expression of H19 relating to advanced pathological tumor stage and pathological tumor node metastasis stage, indicating that H19 may be associated with the invasive ability of gastric cancer. We knocked down H19 in AGS and SGC7901 cell lines and found that knocked-down H19 could decrease gastric cancer cell invasion and that metformin could not further decrease invasion after the knock down. Moreover, H19 depletion increased AMPK activation and decreased MMP9 expression, and metformin could not further activate AMPK or decrease MMP9 in H19 knocked-down gastric cancer cells. In summary, metformin has a profound antitumor effect on gastric cancer cells, and H19 is a key component in the process of metformin suppressing gastric cancer cell invasion. 相似文献
148.
A simple chiral analysis of amino acid esters by fluorine‐19 nuclear magnetic resonance (19F NMR) through the modified James–Bull method is described. Thus, amino acid ester acid salt was treated with 5‐fluoro‐2‐formylphenylboronic acid and (S)‐BINOL in the presence of triethylamine (TEA) and MS4A for 10 minutes. The reaction mixture was analysed by 19F NMR directly to afford good quantifications. 相似文献
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Zi-Hui Zheng Dong-Mei Wu Shao-Hua Fan Zi-Feng Zhang Gui-Quan Chen Jun Lu 《Journal of cellular biochemistry》2019,120(11):18724-18735