首页> 外文期刊>Journal of Computational Intelligence in Bioinformatics >Subtractive Proteomic Approach for in Silico Identification and Characterization of Novel Drug Targets in Leishmania major.
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Subtractive Proteomic Approach for in Silico Identification and Characterization of Novel Drug Targets in Leishmania major.

机译:减法蛋白质组学方法用于利什曼原虫专业中新型药物靶点的计算机鉴定和表征。

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The whole genome sequencing technology is providing expensive information for the identification of new therapeutic drug targets in pathogens. The availability of the complete proteome of Leishmania major has made it possible to carry out the in silico analysis of its proteome for identification of potential therapeutic targets. Our study revealed the essential proteins that are non-homologous to human genome and that are essential for the survival of the pathogen. The essentiality of the proteins of L. major was checked using the search against Database of Essential Genes (DEG). Subcellular localization prediction of these essential proteins was performed by CELLO server to find out proteins that lie on the outer membrane of the pathogen which could be potential drug targets. Metabolic pathway analysis of the identified essential surface proteins was performed using the KEGG Automated Annotation Server (KAAS) housed at KEGG pathways database. Comparative metabolic pathway analysis of H. sapiens and L. major was performed using KEGG database to find proteins involved in unique pathways of L.major. These essential proteins of L.major might be used as potential drug targets, as they belong to pathways present only in the pathogen and not in humans. Screening of the functional inhibitors against these novel targets may result in discovery of novel therapeutic compounds that can be effective against L.major. In present study subtractive genomic approach has been used to identify therapeutic target in L.major, which causes disfiguring cutaneous and muco-cutaneous lesions that can cause destruction of mucous membranes to visceral disease affecting the haemopoetic organs in humans.
机译:整个基因组测序技术为鉴定病原体中新的治疗药物靶标提供了昂贵的信息。完整的利什曼原虫蛋白质组的可用性使对其蛋白质组进行计算机分析以鉴定潜在的治疗靶标成为可能。我们的研究揭示了与人类基因组非同源且对于病原体生存至关重要的必需蛋白质。使用针对必需基因数据库(DEG)的搜索检查了大麦芽孢杆菌蛋白质的必要性。这些必需蛋白的亚细胞定位预测由CELLO服务器执行,以找出位于病原体外膜上的蛋白,这些蛋白可能是潜在的药物靶标。使用位于KEGG途径数据库中的KEGG自动注释服务器(KAAS)对已鉴定的必需表面蛋白进行了代谢途径分析。使用KEGG数据库对智人和大戟进行比较代谢途径分析,以发现参与大戟独特途径的蛋白质。 L.major的这些必需蛋白可能被用作潜在的药物靶标,因为它们仅属于病原体而非人类中存在的途径。针对这些新靶标的功能抑制剂的筛选可以导致发现可以有效对抗大链球菌的新型治疗化合物。在当前的研究中,消减基因组学方法已被用于确定大乳房链球菌的治疗靶标,该靶标引起毁损性皮肤和粘膜皮肤损伤,这些损伤可引起粘膜破坏,从而影响内脏造血器官的内脏疾病。

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