Survey of Computational Approaches for Prediction of DNA-Binding Residues on Protein Surfaces

Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 1754)

Abstract

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.

Key words

Structure-based function prediction Functional annotation DNA-binding residue Machine learning method 

Notes

Acknowledgments

This work was supported by the grants from National Natural Science Foundation of China for Young Scholars (Grant No. 31601074 and 21403002), the funding from National Key Research Program (Contract No. 2016YFA0501703), and the Open Fund of Shanghai Key Laboratory of Intelligent Information Processing (Contract No. IIPL-2016-005).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina

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