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Prediction of Non-coding RNAs as Drug Targets

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Non-coding RNAs in Complex Diseases

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1094))

Abstract

MiRNA is a class of small non-coding RNA molecule that regulates gene expression at post-transcriptional level. Increasing evidences show aberrant expression of miRNAs in a variety of diseases. Targeting the dysregulated miRNAs with small molecule drugs has become a novel therapeutics for many human diseases, especially cancers. In this chapter, we introduced a series of computational studies for prediction of small molecule and miRNA associations. Based on different hypotheses, such as transcriptional response similarity, functional consistence or network closeness, the small molecule-miRNA networks were constructed and further analyzed. In addition, several resources that collected experimentally validated relationships or computational predicted associations between small molecules and miRNAs were provided. Collectively, these computational frameworks and databases pave a new way for miRNA-targeted therapy and drug repositioning.

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Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Wei Jiang

  2. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China

    Wei Jiang, Yingli Lv & Shuyuan Wang

Authors
  1. Wei Jiang
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  2. Yingli Lv
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  3. Shuyuan Wang
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Corresponding author

Correspondence to Wei Jiang .

Editor information

Editors and Affiliations

  1. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China

    Xia Li

  2. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China

    Juan Xu

  3. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China

    Yun Xiao

  4. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China

    Shangwei Ning

  5. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China

    Yunpeng Zhang

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© 2018 Springer Nature Singapore Pte Ltd.

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Jiang, W., Lv, Y., Wang, S. (2018). Prediction of Non-coding RNAs as Drug Targets. In: Li, X., Xu, J., Xiao, Y., Ning, S., Zhang, Y. (eds) Non-coding RNAs in Complex Diseases. Advances in Experimental Medicine and Biology, vol 1094. Springer, Singapore. https://doi.org/10.1007/978-981-13-0719-5_11

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