通过虚拟筛选管道研究小球藻作为非洲猪瘟病毒抗病毒源的潜力

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of molecular graphics & modelling Pub Date : 2024-08-10 DOI:10.1016/j.jmgm.2024.108846
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引用次数: 0

摘要

非洲猪瘟(ASF)会导致猪的高死亡率,并威胁全球猪业生产。目前仍然缺乏可用的治疗药物,有两种疫苗正在接受审查,但还没有批准的小分子药物。在对来自小球藻的次生代谢物(127 种)进行硅学筛选时,利用 11 种病毒蛋白来确定潜在的抗病毒药物。通过硅学 ADMET(吸收、分布、代谢、排泄、毒性)预测对高分化合物进行评估,与结构相似的药物进行比较,并与制备的猪受体进行脱靶对接检查。分子动力学(MD)模拟确定了结合稳定性,而结合能则是通过分子力学-广义玻恩表面积(MMGBSA)或泊松-玻尔兹曼表面积(MMPBSA)测量的。只有六(6)种化合物通过了 MD 分析,其中五(5)种在 MD 运行 100 ns 后保持稳定。在这五种化合物中,只有三种化合物的结合亲和力与对照组相当或更强。具体来说,植物甾醇 24,25-dihydrolanosterol 和 CID 4206521 与 RNA 封顶酶 (pNP868R) 相互作用,麦角甾醇与 Erv 样硫还原酶 (pB119L) 结合。本研究发现的化合物可作为体外筛选的理论基础,以开发抗 ASFV 的强效抗病毒药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The potential of Chlorella spp. as antiviral source against African swine fever virus through a virtual screening pipeline

African swine fever (ASF) causes high mortality in pigs and threatens global swine production. There is still a lack of therapeutics available, with two vaccines under scrutiny and no approved small-molecule drugs. Eleven (11) viral proteins were used to identify potential antivirals in in silico screening of secondary metabolites (127) from Chlorella spp. The metabolites were screened for affinity and binding selectivity. High-scoring compounds were assessed through in silico ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) predictions, compared to structurally similar drugs, and checked for off-target docking with prepared swine receptors. Molecular dynamics (MD) simulations determined binding stability while binding energy was measured in Molecular Mechanics - Generalized Born Surface Area (MMGBSA) or Poisson-Boltzmann Surface Area (MMPBSA). Only six (6) compounds passed until MD analyses, of which five (5) were stable after 100 ns of MD runs. Of these five compounds, only three had binding affinities that were comparable to or stronger than controls. Specifically, phytosterols 24,25-dihydrolanosterol and CID 4206521 that interact with the RNA capping enzyme (pNP868R), and ergosterol which bound to the Erv-like thioreductase (pB119L). The compounds identified in this study can be used as a theoretical basis for in vitro screening to develop potent antiviral drugs against ASFV.

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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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