Anishetty Sharmila, Pulimi Mrudula, Pennathur Gautam
Centre for Biotechnology, Anna University, Chennai 600025, India.
Comput Biol Chem. 2005 Oct;29(5):368-78. doi: 10.1016/j.compbiolchem.2005.07.001. Epub 2005 Oct 6.
The emergence of multidrug resistant varieties of Mycobacterium tuberculosis has led to a search for novel drug targets. We have performed an insilico comparative analysis of metabolic pathways of the host Homo sapiens and the pathogen M. tuberculosis. Enzymes from the biochemical pathways of M. tuberculosis from the KEGG metabolic pathway database were compared with proteins from the host H. sapiens, by performing a BLASTp search against the non-redundant database restricted to the H. sapiens subset. The e-value threshold cutoff was set to 0.005. Enzymes, which do not show similarity to any of the host proteins, below this threshold, were filtered out as potential drug targets. We have identified six pathways unique to the pathogen M. tuberculosis when compared to the host H. sapiens. Potential drug targets from these pathways could be useful for the discovery of broad spectrum drugs. Potential drug targets were also identified from pathways related to lipid metabolism, carbohydrate metabolism, amino acid metabolism, energy metabolism, vitamin and cofactor biosynthetic pathways and nucleotide metabolism. Of the 185 distinct targets identified from these pathways, many are in various stages of progress at the TB Structural Genomics Consortium. However, 67 of our targets are new and can be considered for rational drug design. As a case study, we have built a homology model of one of the potential drug targets MurD ligase using WHAT IF software. The model could be further explored for insilico docking studies with suitable inhibitors. The study was successful in listing out potential drug targets from the M. tuberculosis proteome involved in vital aspects of the pathogen's metabolism, persistence, virulence and cell wall biosynthesis. This systematic evaluation of metabolic pathways of host and pathogen through reliable and conventional bioinformatic methods can be extended to other pathogens of clinical interest.
结核分枝杆菌多药耐药品种的出现促使人们寻找新的药物靶点。我们对宿主智人和病原体结核分枝杆菌的代谢途径进行了计算机模拟比较分析。通过对限于智人子集的非冗余数据库进行BLASTp搜索,将KEGG代谢途径数据库中结核分枝杆菌生化途径的酶与宿主智人的蛋白质进行比较。将e值阈值设定为0.005。低于该阈值且与任何宿主蛋白质均无相似性的酶被筛选为潜在的药物靶点。与宿主智人相比,我们确定了结核分枝杆菌病原体特有的六条途径。这些途径中的潜在药物靶点可能有助于发现广谱药物。还从与脂质代谢、碳水化合物代谢、氨基酸代谢、能量代谢、维生素和辅因子生物合成途径以及核苷酸代谢相关的途径中确定了潜在的药物靶点。在从这些途径中确定的185个不同靶点中,许多靶点在结核病结构基因组学联盟正处于不同的研究进展阶段。然而,我们确定的67个靶点是新的,可用于合理药物设计。作为一个案例研究,我们使用WHAT IF软件构建了一个潜在药物靶点MurD连接酶的同源模型。该模型可进一步用于与合适抑制剂的计算机模拟对接研究。该研究成功地列出了结核分枝杆菌蛋白质组中参与病原体代谢、存活、毒力和细胞壁生物合成等重要方面的潜在药物靶点。通过可靠且传统的生物信息学方法对宿主和病原体代谢途径进行的这种系统评估可扩展到其他具有临床意义的病原体。