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基于药效团对人骨髓间充质干细胞系中差异表达的……(此处原文缺失具体基因名称)进行筛选,发现了五种用于原发性骨质疏松症的新型治疗化合物。

Pharmacophore-based screening of differentially-expressed , , and from hMSC cell lines reveals five novel therapeutic compounds for primary osteoporosis.

作者信息

Lai Catherine Jessica

机构信息

Brearley School, New York, NY 10021, USA.

出版信息

J Genet Eng Biotechnol. 2016 Jun;14(1):203-210. doi: 10.1016/j.jgeb.2015.12.002. Epub 2016 Jan 12.

Abstract

As many societies age, primary osteoporosis (PO) is increasingly a major health problem. Current drug treatments such as alendronate and risedronate have known side effects. We took an agnostic empirical approach to find PO therapeutic compounds. We examined 13,548,960 probe data-points from mesenchymal stromal cell (hMSC) lines and found that , , and to be up-regulated, and , down-regulated. We then identified their druggable domains. For the up-regulated differentially-expressed genes, we used protein-protein interactions to find residue clusters as binding surfaces. We then employed pharmacophore models to screen 15,407,096 conformations of 22,723,923 compounds, which identified (6R,9R)-6-(2-furyl)-9-(1H-indol-3-yl)-2-(trifluoromethyl)-5,6,7, 9-tetrahydro-4H[1,2,4]triazolo[5,1],(2S)-N1-[2-[2-(methylamino)-2-oxo-ethyl]phenyl]-N2-phenylpyrrolidine-1,2-dicarboxamide, and 2-furyl-(1H-indol-3-yl)-methyl-BLAHone as candidate compounds. For the down-regulated , we relied on genome-wide disease signatures to identify (11alpha)-9-fluoro-11,17,21-trihydroxypregn-4-ene-3,20-dione and Genistein as candidate compounds. Our approach differs from previous research as we did not confine our drug targets to hypothesized compounds in the existing literature. Instead, we allowed the full expression profile of PO cell lines to reveal the most desirable targets. Second, our differential gene analysis revealed both up- and down-regulated genes, in contrast to the literature, which has focused on inhibiting only up-regulated genes. Third, our virtual screening universe of 22,723,923 compounds was more than 100 times larger than those in the known literature.

摘要

随着许多社会的老龄化,原发性骨质疏松症(PO)日益成为一个主要的健康问题。目前的药物治疗,如阿仑膦酸盐和利塞膦酸盐,都有已知的副作用。我们采用了一种无先入之见的实证方法来寻找PO治疗化合物。我们检查了来自间充质基质细胞(hMSC)系的13548960个探针数据点,发现[具体基因1]、[具体基因2]和[具体基因3]上调,而[具体基因4]、[具体基因5]下调。然后我们确定了它们的可成药结构域。对于上调的差异表达基因,我们利用蛋白质-蛋白质相互作用来找到作为结合表面的残基簇。然后我们采用药效团模型筛选22723923种化合物的15407096种构象,确定了(6R,9R)-6-(2-呋喃基)-9-(1H-吲哚-3-基)-2-(三氟甲基)-5,6,7,9-四氢-4H-[1,2,4]三唑并[5,1],(2S)-N1-[2-[2-(甲氨基)-2-氧代乙基]苯基]-N2-苯基吡咯烷-1,2-二甲酰胺和2-呋喃基-(1H-吲哚-3-基)-甲基-BLAHone作为候选化合物。对于下调的[具体基因],我们依靠全基因组疾病特征来确定(11α)-9-氟-11,17,21-三羟基孕-4-烯-3,20-二酮和染料木黄酮作为候选化合物。我们的方法与以往的研究不同,因为我们没有将药物靶点局限于现有文献中假设的化合物。相反,我们让PO细胞系的完整表达谱揭示最理想的靶点。其次,我们的差异基因分析揭示了上调和下调的基因,与文献不同的是,文献只关注抑制上调的基因。第三,我们对22723923种化合物的虚拟筛选范围比已知文献中的大100多倍。

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