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首页> 外文期刊>BMC research notes >In silico work flow for scaffold hopping in Leishmania
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In silico work flow for scaffold hopping in Leishmania

机译:利什曼尼亚的脚手架跳跃的计算机工作流程

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Background Leishmaniasis,a broad spectrum of diseases caused by several sister species of protozoa belonging to family trypanosomatidae and genus leishmania , generally affects poorer sections of the populace in third world countries. With the emergence of strains resistant to traditional therapies and the high cost of second line drugs which generally have severe side effects, it becomes imperative to continue the search for alternative drugs to combat the disease. In this work, the leishmanial genomes and the human genome have been compared to identify proteins unique to the parasite and whose structures (or those of close homologues) are available in the Protein Data Bank. Subsequent to the prioritization of these proteins (based on their essentiality, virulence factor etc.), inhibitors have been identified for a subset of these prospective drug targets by means of an exhaustive literature survey. A set of three dimensional protein-ligand complexes have been assembled from the list of leishmanial drug targets by culling structures from the Protein Data Bank or by means of template based homology modeling followed by ligand docking with the GOLD software. Based on these complexes several structure based pharmacophores have been designed and used to search for alternative inhibitors in the ZINC database. Result This process led to a list of prospective compounds which could serve as potential antileishmanials. These small molecules were also used to search the Drug Bank to identify prospective lead compounds already in use as approved drugs. Interestingly, paromomycin which is currently being used as an antileishmanial drug spontaneously appeared in the list, probably giving added confidence to the ‘scaffold hopping’ computational procedures adopted in this work. Conclusions The report thus provides the basis to experimentally verify several lead compounds for their predicted antileishmanial activity and includes several useful data bases of prospective drug targets in leishmania, their inhibitors and protein – inhibitor three dimensional complexes.
机译:背景利什曼病是由属于锥虫科和利什曼氏菌属的原生动物的几种姊妹物种引起的广泛疾病,通常会影响第三世界国家中较贫穷的部分。随着对传统疗法有抵抗力的菌株的出现以及通常具有严重副作用的二线药物的高昂成本,迫切需要继续寻找替代药物来对抗这种疾病。在这项工作中,已经比较了利什曼细菌基因组和人类基因组,以鉴定该寄生虫特有的蛋白质,并且其结构(或紧密同源的结构)可在蛋白质数据库中找到。在对这些蛋白质进行优先级排序后(基于其必要性,毒力因子等),已通过详尽的文献调查为这些潜在药物靶标的亚组鉴定了抑制剂。通过从蛋白质数据库中挑选结构,或通过基于模板的同源性建模,然后通过配体与GOLD软件对接,从利什曼药物目标清单中组装了一组三维蛋白质-配体复合物。基于这些复合物,已经设计了几种基于结构的药效基团,并用于在ZINC数据库中搜索替代抑制剂。结果该过程产生了可能用作潜在的防霉剂的一系列预期化合物。这些小分子还被用于搜索药品库,以识别已经用作批准药品的潜在先导化合物。有趣的是,目前被用作抗疟疾药物的巴龙霉素自然而然地出现在列表中,这可能使这项工作中采用的“支架跳跃”计算程序更具信心。结论因此,该报告为实验验证几种领先化合物的预测的抗疟疾活性提供了基础,并包括了利什曼原虫中预期的药物靶标,其抑制剂和蛋白质-抑制剂三维复合物的几个有用的数据库。

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