Doytchinova Irini A., Taylor Paul, Flower Darren R.
J Biomed Biotechnol. 2003;2003(5):267-290. doi: 10.1155/S1110724303209232.
The postgenomic era, as manifest, inter alia, by proteomics, offers unparalleled opportunities for the efficient discovery of safe, efficacious, and novel subunit vaccines targeting a tranche of modern major diseases. A negative corollary of this opportunity is the risk of becoming overwhelmed by this embarrassment of riches. Informatics techniques, working to address issues of both data management and through prediction to shortcut the experimental process, can be of enormous benefit in leveraging the proteomic revolution. In this disquisition, we evaluate proteomic approaches to the discovery of subunit vaccines, focussing on viral, bacterial, fungal, and parasite systems. We also adumbrate the impact that proteomic analysis of host-pathogen interactions can have. Finally, we review relevant methods to the prediction of immunome, with special emphasis on quantitative methods, and the subcellular localization of proteins within bacteria.
后基因组时代,尤其是蛋白质组学所展现的,为高效发现针对一系列现代重大疾病的安全、有效且新颖的亚单位疫苗提供了无与伦比的机遇。这个机遇带来的一个负面结果是,可能会因丰富的数据而应接不暇。信息学技术致力于解决数据管理问题,并通过预测来缩短实验过程,在利用蛋白质组学革命方面可带来巨大益处。在本文中,我们评估了用于发现亚单位疫苗的蛋白质组学方法,重点关注病毒、细菌、真菌和寄生虫系统。我们还阐述了宿主 - 病原体相互作用的蛋白质组学分析可能产生的影响。最后,我们回顾了预测免疫组的相关方法,特别强调定量方法,以及细菌内蛋白质的亚细胞定位。