Gerner Christopher
Institute of Cancer Research, University of Vienna, Borschkegasse 8, A-1090 Vienna, Austria.
Comb Chem High Throughput Screen. 2004 Feb;7(1):1-9. doi: 10.2174/138620704772884779.
Drugs exert their functions mainly by affecting proteins. Therefore, it seems straightforward to focus on proteins in order to investigate drug effects. Unfortunately, proteins are of very high complexity, rendering it much more difficult to screen for protein alterations as compared to gene regulation. However, the efficiency and applicability of proteome analysis has been dramatically increased recently. We are on the way to be able to comprehensively assess disease-related proteome alterations, which may become an essential source of information for knowledge-based drug design. This review will provide an overview of current techniques in proteome analysis, focusing on screening technologies for biomedical research. An outlook at the future potential of proteomics supported by modern bioinformatics will highlight why proteomics is worth the effort.
药物主要通过作用于蛋白质来发挥其功能。因此，为了研究药物作用，专注于蛋白质似乎是直接的做法。不幸的是，蛋白质具有非常高的复杂性，与基因调控相比，筛选蛋白质变化要困难得多。然而，蛋白质组分析的效率和适用性最近有了显著提高。我们正在朝着能够全面评估与疾病相关的蛋白质组变化的方向发展，这可能成为基于知识的药物设计的重要信息来源。本综述将概述蛋白质组分析的当前技术，重点关注生物医学研究的筛选技术。展望现代生物信息学支持下蛋白质组学的未来潜力将突出为什么蛋白质组学值得付出努力。
