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Part 1: Network biology in translational bioinformatics and systems biology

机译:第1部分:转换生物学信息学和系统生物学中的网络生物学

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摘要

Identifying driver mutations as well as disease genes that are responsible for various disorders is the key to understand the molecular mechanisms underlying diseases in translational bioinformatics. At the same time, the knowledge about drug targets can help design compounds with better efficacy. Recently, the availability of various types of molecular networks makes it possible to identify disease genes or drug targets from systematic perspectives. In this special issue, we reported the recent progress on computational approaches that have been developed to predict disease genes and drug targets.
机译:识别导致各种疾病的驱动程序突变以及疾病基因,是理解转化生物信息学中疾病基础的分子机制的关键。同时,有关药物靶标的知识可帮助设计具有更好疗效的化合物。近来,各种类型的分子网络的可用性使得有可能从系统的角度鉴定疾病基因或药物靶标。在本期特刊中,我们报道了预测疾病基因和药物靶标的计算方法的最新进展。

著录项

  • 来源
    《IET systems biology》 |2014年第2期|23-23|共1页
  • 作者

    XING-MING ZHAO;

  • 作者单位

    Department of Computer Science, School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China;

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  • 正文语种 eng
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