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In search of the representative pharmacophore hypotheses of the enzymatic proteome of Plasmodium falciparum: a multicomplex-based approach

机译:寻找酶促疟原虫酶促蛋白质组的代表性药物假想:基于多种式相同的方法

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摘要

Drug resistance has made malaria an untreatable disease and therefore intensified the need for the development of new drugs and the identification of potential drug targets. In this pursuit, in silico efforts made in the past have not shown significant responses. Therefore, in the present work, the multicomplex-based pharmacophore modeling approach was employed to construct the pharmacophores of the 16 selected Plasmodium falciparum (Pf) targets. All the constructed hypotheses (153) were screened against a focused dataset made up of experimental actives of the chosen targets (3705 inhibitors). The rationale was to check the affinity of the inhibitors for the off-targets. Subsequently, the constructed hypotheses from each target were pooled based on the feature types and the pooled-hypotheses were then clustered to offer an insight about the pharmacophore similarity. Tanimoto similarity index was also calculated to look for the similarity among the inhibitors belonging to different Pf targets. Overall, the work was accomplished to bid healthier perceptive of the pharmacophore-based virtual screening and abet in providing guiding principles for the construction of stringent pharmacophores that can be employed for the screening.
机译:耐药性使疟疾成为一个无法治疗的疾病,因此加剧了新药的发展和潜在药物靶标的鉴定。在这种追求中,在过去的努力中,过去造成的努力没有明显的反应。因此,在本作研究中,采用基于多种式相色谱的药物模型方法来构建16个选定的疟原虫(PF)靶标的药程。筛查所有构建的假设(153)针对由所选靶标的实验活性物质(3705抑制剂)组成的聚焦数据集。基本原理是检查抑制剂对偏离目标的亲和力。随后,基于特征类型汇集来自每个目标的构建假设,然后聚集汇总的假设,以提供关于药仔的相似性的见解。还计算了Tanimoto相似性指数,以寻找属于不同PF靶标的抑制剂之间的相似性。总体而言,该工作是为了投标对基于药剂球的虚拟筛选和教唆提供指导原则来实现的工作,以便施工用于筛选的严格药物的引导原理。

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