Postgenomics: Proteomics and Bioinformatics in Cancer Research.
Postgenomics: Proteomics and Bioinformatics in Cancer Research.
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DOI：
10.1155/s1110724303209207
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发表时间：
2003
影响因子：
--
通讯作者：
Haoudi A
中科院分区：
文献类型：
--
作者：
Bensmail H;Haoudi A
现在人类基因组已经完成，由序列编码的蛋白质的表征仍然是一项具有挑战性的任务。如果要开发用于早期诊断的新的治疗药物和新的疾病生物标志物，则对基因组的完整蛋白质补充物即“蛋白质组”（称为蛋白质组学）的研究将是必不可少的。研究工作已经在进行中，以开发必要的技术来比较疾病与非疾病状态的特定蛋白质谱。这些技术提供了丰富的信息，并迅速生成大量数据。处理大量的数据将导致有用的生物系统的预测数学描述，这将允许快速识别新的治疗靶点和识别代谢紊乱。在这里，我们提出了一个概述的现状和未来的研究方法，在定义癌细胞的蛋白质组结合不同的生物信息学和计算生物学工具，以更好地了解健康和疾病。
Now that the human genome is completed, the characterization of the proteins encoded by the sequence remains a challenging task. The study of the complete protein complement of the genome, the “proteome,” referred to as proteomics, will be essential if new therapeutic drugs and new disease biomarkers for early diagnosis are to be developed. Research efforts are already underway to develop the technology necessary to compare the specific protein profiles of diseased versus nondiseased states. These technologies provide a wealth of information and rapidly generate large quantities of data. Processing the large amounts of data will lead to useful predictive mathematical descriptions of biological systems which will permit rapid identification of novel therapeutic targets and identification of metabolic disorders. Here, we present an overview of the current status and future research approaches in defining the cancer cell's proteome in combination with different bioinformatics and computational biology tools toward a better understanding of health and disease.