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虚拟筛选、鉴定和体外检测新型肠贾第鞭毛虫 O-乙酰-L-丝氨酸巯基转移酶抑制剂。

Virtual screening, identification and in vitro testing of novel inhibitors of O-acetyl-L-serine sulfhydrylase of Entamoeba histolytica.

机构信息

School of Life Sciences, Jawaharlal Nehru University, New Delhi, India.

出版信息

PLoS One. 2012;7(2):e30305. doi: 10.1371/journal.pone.0030305. Epub 2012 Feb 15.

Abstract

The explosive epidemicity of amoebiasis caused by the facultative gastrointestinal protozoan parasite Entamoeba histolytica is a major public health problem in developing countries. Multidrug resistance and side effects of various available antiamoebic drugs necessitate the design of novel antiamobeic agents. The cysteine biosynthetic pathway is the critical target for drug design due to its significance in the growth, survival and other cellular activities of E. histolytica. Here, we have screened 0.15 million natural compounds from the ZINC database against the active site of the EhOASS enzyme (PDB ID. 3BM5, 2PQM), whose structure we previously determined to 2.4 Å and 1.86 Å resolution. For this purpose, the incremental construction algorithm of GLIDE and the genetic algorithm of GOLD were used. We analyzed docking results for top ranking compounds using a consensus scoring function of X-Score to calculate the binding affinity and using ligplot to measure protein-ligand interactions. Fifteen compounds that possess good inhibitory activity against EhOASS active site were identified that may act as potential high affinity inhibitors. In vitro screening of a few commercially available compounds established their biological activity. The first ranked compound ZINC08931589 had a binding affinity of ∼8.05 µM and inhibited about 73% activity at 0.1 mM concentration, indicating good correlation between in silico prediction and in vitro inhibition studies. This compound is thus a good starting point for further development of strong inhibitors.

摘要

溶组织内阿米巴引起的兼性胃肠道原生动物寄生虫溶组织内阿米巴的爆发性流行是发展中国家的一个主要公共卫生问题。各种现有抗阿米巴药物的多药耐药性和副作用需要设计新型抗阿米巴药物。由于半胱氨酸生物合成途径对溶组织内阿米巴的生长、存活和其他细胞活动具有重要意义,因此是药物设计的关键靶点。在这里,我们针对先前我们确定的结构分辨率为 2.4 Å 和 1.86 Å 的 EhOASS 酶(PDB ID. 3BM5, 2PQM)的活性部位,从 ZINC 数据库中筛选了 150 万个天然化合物。为此,我们使用了 GLIDE 的增量构建算法和 GOLD 的遗传算法。我们使用 X-Score 的共识评分函数分析了排名靠前的化合物的对接结果,以计算结合亲和力,并使用 ligplot 测量蛋白质-配体相互作用。鉴定出了 15 种对 EhOASS 活性部位具有良好抑制活性的化合物,它们可能作为潜在的高亲和力抑制剂。对几种市售化合物的体外筛选确立了它们的生物活性。排名第一的化合物 ZINC08931589 的结合亲和力约为 8.05 µM,在 0.1 mM 浓度下抑制约 73%的活性,表明计算预测与体外抑制研究之间具有良好的相关性。因此,这种化合物是进一步开发强抑制剂的良好起点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273a/3280239/d3cefcd74717/pone.0030305.g001.jpg

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