临床生物信息学在基于网络的生物标志物开发中的作用。

Xiangdong Wang
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引用次数: 48

摘要

网络生物标志物作为一种具有蛋白-蛋白相互作用的新型生物标志物,在蛋白质注释、相互作用和信号通路等方面的知识整合中被提出和研究。通过基因组学、蛋白质组学和生物信息学的结合,已经开发了许多方法和计算程序来将选定的蛋白质整合到基于知识的网络中。网络生物标志物的变化可以在疾病发展的不同阶段和时间点进行监测和评估,称为动态网络生物标志物。动态网络生物标志物应进一步与临床信息学相关联,包括患者的主诉、病史、治疗方法、临床症状和体征、医生的检查、生化分析、影像学、病理和其他测量结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of clinical bioinformatics in the development of network-based Biomarkers.

Network biomarker as a new type of biomarkers with protein-protein interactions was initiated and investigated with the integration of knowledge on protein annotations, interaction, and signaling pathway. A number of methodologies and computational programs have been developed to integrate selected proteins into the knowledge-based networks via the combination of genomics, proteomics and bioinformatics. Alterations of network biomarkers can be monitored and evaluated at different stages and time points during the development of diseases, named dynamic network biomarkers. Dynamic network biomarkers should be furthermore correlated with clinical informatics, including patient complaints, history, therapies, clinical symptoms and signs, physician's examinations, biochemical analyses, imaging profiles, pathologies and other measurements.

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