Hasan Md Anayet, Khan Md Arif, Sharmin Tahmina, Hasan Mazumder Md Habibul, Chowdhury Afrin Sultana
Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chittagong-4331, Bangladesh.
Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh.
Gene. 2016 Jan 1;575(1):132-43. doi: 10.1016/j.gene.2015.08.044. Epub 2015 Aug 28.
Vancomycin-resistant Staphylococcus aureus (VRSA) is a Gram-positive, facultative aerobic bacterium which is evolved from the extensive exposure of Vancomycin to Methicillin resistant S. aureus (MRSA) that had become the most common cause of hospital and community-acquired infections. Due to the emergence of different antibiotic resistance strains, there is an exigency to develop novel drug targets to address the provocation of multidrug-resistant bacteria. In this study, in-silico genome subtraction methodology was used to design potential and pathogen specific drug targets against VRSA. Our study divulged 1987 proteins from the proteome of 34,549 proteins, which have no homologues in human genome after sequential analysis through CD-HIT and BLASTp. The high stringency analysis of the remaining proteins against database of essential genes (DEG) resulted in 169 proteins which are essential for S. aureus. Metabolic pathway analysis of human host and pathogen by KAAS at the KEGG server sorted out 19 proteins involved in unique metabolic pathways. 26 human non-homologous membrane-bound essential proteins including 4 which were also involved in unique metabolic pathway were deduced through PSORTb, CELLO v.2.5, ngLOC. Functional classification of uncharacterized proteins through SVMprot derived 7 human non-homologous membrane-bound hypothetical essential proteins. Study of potential drug target against Drug Bank revealed pbpA-penicillin-binding protein 1 and hypothetical protein MQW_01796 as the best drug target candidate. 2D structure was predicted by PRED-TMBB, 3D structure and functional analysis was also performed. Protein-protein interaction network of potential drug target proteins was analyzed by using STRING. The identified drug targets are expected to have great potential for designing novel drugs against VRSA infections and further screening of the compounds against these new targets may result in the discovery of novel therapeutic compounds that can be effective against Vancomycin resistant S. aureus.
耐万古霉素金黄色葡萄球菌(VRSA)是一种革兰氏阳性兼性需氧菌,它是由于万古霉素大量作用于耐甲氧西林金黄色葡萄球菌(MRSA)而演变而来,后者已成为医院感染和社区获得性感染的最常见病因。由于不同抗生素耐药菌株的出现,迫切需要开发新的药物靶点来应对多重耐药细菌带来的挑战。在本研究中,采用计算机模拟基因组减法方法来设计针对VRSA的潜在且病原体特异性的药物靶点。我们的研究从34549个蛋白质的蛋白质组中筛选出1987个蛋白质,经过CD-HIT和BLASTp序列分析后,这些蛋白质在人类基因组中没有同源物。对其余蛋白质与必需基因数据库(DEG)进行高严格度分析,结果得到169个对金黄色葡萄球菌至关重要的蛋白质。通过KEGG服务器上的KAAS对人类宿主和病原体的代谢途径进行分析,梳理出19个参与独特代谢途径的蛋白质。通过PSORTb、CELLO v.2.5、ngLOC推导得出26种人类非同源膜结合必需蛋白质,其中4种也参与独特代谢途径。通过SVMprot对未表征蛋白质进行功能分类,得出7种人类非同源膜结合假设必需蛋白质。针对药物银行研究潜在药物靶点,发现pbpA-青霉素结合蛋白1和假设蛋白MQW_01796是最佳的药物靶点候选物。通过PRED-TMBB预测二维结构,并进行三维结构和功能分析。使用STRING分析潜在药物靶点蛋白的蛋白质-蛋白质相互作用网络。预计所鉴定的药物靶点在设计针对VRSA感染的新型药物方面具有巨大潜力,针对这些新靶点进一步筛选化合物可能会发现对耐万古霉素金黄色葡萄球菌有效的新型治疗化合物。