Goh Wilson Wen Bin, Wong Limsoon
Department of Computer Science, National University of Singapore, COM1 Building, 13 Computing Drive, Singapore 117417, Singapore; Department of Computing, Imperial College London, Exhibition Road, London SW7 2AZ, UK.
Department of Computer Science, National University of Singapore, COM1 Building, 13 Computing Drive, Singapore 117417, Singapore.
Drug Discov Today. 2014 Mar;19(3):266-74. doi: 10.1016/j.drudis.2013.07.008. Epub 2013 Jul 18.
The proper combination of proteomics with bioinformatics is highly synergistic, capable of propelling proteomics into a truly high-throughput platform. However, appropriate experimental design and analytical considerations are needed to maximize analytical outcome. This review highlights key issues and caveats in converting raw data to protein identifications, and subsequently biological insight. It offers some insights on how the establishment of highly robust proteomics pipelines can be used for studying novel areas such as computational epigenetics, high performance functional studies and new discovery paradigms for drug targets and biomarkers.
蛋白质组学与生物信息学的恰当结合具有很强的协同性，能够将蛋白质组学推进到一个真正的高通量平台。然而，需要进行适当的实验设计和分析考量，以实现分析结果的最大化。本综述重点介绍了将原始数据转化为蛋白质鉴定结果以及后续生物学见解过程中的关键问题和注意事项。它还就如何建立高度稳健的蛋白质组学流程以用于研究诸如计算表观遗传学、高性能功能研究以及药物靶点和生物标志物的新发现范式等新领域提供了一些见解。
