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

Journal: Methods in molecular biology (Clifton, N.J.)
Published Date:

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.

Authors

  • Yi Xiong
    Departement of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/Affiliated Cancer Hospital of Xiangya School of Medicine, Changsha 410013, China.
  • Xiaolei Zhu
    School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, China.
  • Hao Dai
    Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL.
  • Dong-Qing Wei