Department of Biochemistry, National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Tajganj, Agra, PIN-282001, India.
Proteome Sci. 2010 Nov 18;8:59. doi: 10.1186/1477-5956-8-59.
Streptomycin (SM) is a broad spectrum antibiotic and is an important component of any anti-tuberculosis therapy regimen. Several mechanisms have been proposed to explain the emergence of resistance but still our knowledge is inadequate. Proteins form a very complex network and drugs are countered by their modification/efflux or over expression/modification of targets. As proteins manifest most of the biological processes, these are attractive targets for developing drugs, immunodiagnostics or therapeutics. The aim of present study was to analyze and compare the protein profile of whole cell extracts from Mycobacterium tuberculosis clinical isolates susceptible and resistant to SM.
Two-dimensional gel electrophoresis (2DE) and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry was employed for analyzing the protein profiles. Homology and in silico characterization for identified proteins was assessed using BLAST, InterProScan and KEGG database searches. Computational studies on the possible interactions between SM and identified proteins were carried out by a battery of online servers and softwares, namely, CLUSTALW (KEGG), I-TASSER, VMD, PatchDock and FireDock. On comparing 2DE patterns, nine proteins were found consistently overexpressed in SM resistant isolates and were identified as Rv0350, Rv0440, Rv1240, Rv3075c, Rv2971, Rv3028c, Rv2145c, Rv2031c and Rv0569. In silico docking analysis showed significant interactions of SM with essential (Rv0350, Rv0440 and Rv2971) and non essential (Rv1240, Rv3075c and Rv2031c) genes.
The computational results suggest high protein binding affinity of SM and suggested many possible interactions between identified proteins and the drug. Bioinformatic analysis proves attributive for analysis of diversity of proteins identified by whole proteome analysis. In-depth study of the these proteins will give an insight into probable sites of drug action other than established primary sites and hence may help in search of novel chemotherapeutic agents at these new sites as inhibitors.
链霉素(SM)是一种广谱抗生素,是任何抗结核治疗方案的重要组成部分。已经提出了几种解释耐药性出现的机制,但我们的知识仍然不足。蛋白质形成了一个非常复杂的网络,药物通过修饰/外排或靶标过度表达/修饰来对抗。由于蛋白质表现出大多数生物过程,因此它们是开发药物、免疫诊断或治疗的有吸引力的靶标。本研究的目的是分析和比较对 SM 敏感和耐药的结核分枝杆菌临床分离株全细胞提取物的蛋白质谱。
采用二维凝胶电泳(2DE)和基质辅助激光解吸/电离飞行时间(MALDI-TOF)质谱法分析蛋白质谱。使用 BLAST、InterProScan 和 KEGG 数据库搜索评估鉴定蛋白的同源性和计算机特征。使用一系列在线服务器和软件,即 CLUSTALW(KEGG)、I-TASSER、VMD、PatchDock 和 FireDock,对 SM 与鉴定蛋白之间可能的相互作用进行了计算研究。在比较 2DE 图谱时,发现 9 种蛋白质在 SM 耐药分离株中持续过表达,并鉴定为 Rv0350、Rv0440、Rv1240、Rv3075c、Rv2971、Rv3028c、Rv2145c、Rv2031c 和 Rv0569。计算机对接分析显示,SM 与必需(Rv0350、Rv0440 和 Rv2971)和非必需(Rv1240、Rv3075c 和 Rv2031c)基因有很强的蛋白质结合亲和力。
计算结果表明 SM 具有很高的蛋白质结合亲和力,并提出了鉴定蛋白与药物之间的许多可能相互作用。生物信息学分析证明,对于通过全蛋白质组分析鉴定的蛋白质多样性的分析是有价值的。对这些蛋白质的深入研究将深入了解药物作用的可能部位,而不仅仅是已建立的主要部位,因此可能有助于在这些新部位寻找新型化学治疗剂作为抑制剂。