Chen Wei, Lin Hao
Department of Physics, School of Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan 063000, China.
Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Noncoding RNA. 2016 Dec 28;3(1):1. doi: 10.3390/ncrna3010001.
RNA modifications are involved in a broad spectrum of biological and physiological processes. To reveal the functions of RNA modifications, it is important to accurately predict their positions. Although high-throughput experimental techniques have been proposed, they are cost-ineffective. As good complements of experiments, many computational methods have been proposed to predict RNA modification sites in recent years. In this review, we will summarize the existing computational approaches directed at predicting RNA modification sites. We will also discuss the challenges and future perspectives in developing reliable methods for predicting RNA modification sites.
RNA修饰参与广泛的生物学和生理过程。为了揭示RNA修饰的功能,准确预测其位置很重要。尽管已经提出了高通量实验技术,但它们成本效益不高。作为实验的良好补充,近年来已经提出了许多计算方法来预测RNA修饰位点。在这篇综述中,我们将总结现有的针对预测RNA修饰位点的计算方法。我们还将讨论开发可靠的RNA修饰位点预测方法面临的挑战和未来前景。