Literature DB >> 29536446

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

Yi Xiong1, Xiaolei Zhu2, Hao Dai2, Dong-Qing Wei2.   

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.

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

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Year:  2018        PMID: 29536446     DOI: 10.1007/978-1-4939-7717-8_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Prediction of hot spots in protein-DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting.

Authors:  Ke Li; Sijia Zhang; Di Yan; Yannan Bin; Junfeng Xia
Journal:  BMC Bioinformatics       Date:  2020-09-17       Impact factor: 3.169

  1 in total

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