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绿藻化合物作为新型冠状病毒肺炎的抗病毒候选物:计算机模拟研究

Green algae compounds as antiviral candidates for SARS-CoV-2: In silico study.

作者信息

Tassakka Asmi Cmar, Iskandar Israini W, Juniyazaki Andi Ba, Zaenab St, Alam Jamaluddin F, Rasyid Haerani, Kasmiati Kasmiati, Sinurat Ellya, Dwiany Fenny M, Martien Ronni, Moore Abigail M

机构信息

Faculty of Marine Science and Fisheries, Universitas Hasanuddin, Makassar, Indonesia.

Postgraduate School of Biomedicine, Universitas Hasanuddin, Makassar, Indonesia.

出版信息

Narra J. 2023 Aug;3(2):e179. doi: 10.52225/narra.v3i2.179. Epub 2023 Jul 26.

Abstract

Green algae () are known to contain bioactive compounds which are hypothesized to have antiviral activities against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to analyze the anti-SARS-CoV-2 potential of compounds extracted from the green alga using in silico analysis. The extract was obtained through maceration with 96% ethanol and the compounds present in the extract were identified through gas chromatography-mass spectroscopy (GC-MS). The binding affinities were analyzed in silico using the PyRx application and visualized in the PyMOL software. GC-MS analysis of extract showed 92 spectral peaks, each of which was assigned to a bioactive compound. Of the six compounds with a strong binding affinity, n-[1-(1-adamantan-1-yl-propyl)-2,5-dioxo-4-trifluoromethyl-imidazo lidin-4-yl] 4-methoxy-benzamide had the lowest score (-8.1 kcal/mol) against the SARS-CoV-2 3C-like protease binding site, similar with that of remdesivir. The molecular dynamics calculations demonstrated that root means square deviation values of the selected inhibitors remained stable throughout a 15-nanosecond simulation. In conclusion, the in silico analysis suggests that extract is a potential antiviral candidate against SARS-CoV-2.

摘要

已知绿藻含有生物活性化合物,据推测这些化合物对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)具有抗病毒活性,SARS-CoV-2是2019冠状病毒病(COVID-19)大流行的病原体。本研究的目的是通过计算机模拟分析,分析从绿藻中提取的化合物的抗SARS-CoV-2潜力。提取物通过用96%乙醇浸渍获得,提取物中存在的化合物通过气相色谱-质谱联用(GC-MS)鉴定。使用PyRx应用程序在计算机上分析结合亲和力,并在PyMOL软件中可视化。对提取物的GC-MS分析显示有92个光谱峰,每个峰都对应一种生物活性化合物。在六种具有强结合亲和力的化合物中,n-[1-(1-金刚烷-1-基丙基)-2,5-二氧代-4-三氟甲基-咪唑烷-4-基]4-甲氧基苯甲酰胺与瑞德西韦相似,对SARS-CoV-2 3C样蛋白酶结合位点的得分最低(-8.1千卡/摩尔)。分子动力学计算表明,在15纳秒的模拟过程中,所选抑制剂的均方根偏差值保持稳定。总之,计算机模拟分析表明,提取物是一种潜在的抗SARS-CoV-2病毒候选物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b2/10919702/0927ef24d1cf/NarraJ-3-e179-g001.jpg

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