Xiong Yi, Zhu Xiaolei, Dai Hao, Wei Dong-Qing
School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Methods Mol Biol. 2018;1754:223-234. doi: 10.1007/978-1-4939-7717-8_13.
The increasing number of protein structures with uncharacterized function necessitates the development of in silico prediction methods for functional annotations on proteins. In this chapter, different kinds of computational approaches are briefly introduced to predict DNA-binding residues on surface of DNA-binding proteins, and the merits and limitations of these methods are mainly discussed. This chapter focuses on the structure-based approaches and mainly discusses the framework of machine learning methods in application to DNA-binding prediction task.
功能未知的蛋白质结构数量不断增加，因此有必要开发计算机预测方法来对蛋白质进行功能注释。在本章中，简要介绍了用于预测DNA结合蛋白表面DNA结合残基的不同类型的计算方法，并主要讨论了这些方法的优缺点。本章重点介绍基于结构的方法，并主要讨论机器学习方法应用于DNA结合预测任务的框架。
