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

Methods Mol Biol. 2018:1754:223-234. doi: 10.1007/978-1-4939-7717-8_13.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amino Acid Sequence
  • Binding Sites
  • Computational Biology / instrumentation
  • Computational Biology / methods*
  • DNA / chemistry
  • DNA / metabolism*
  • DNA-Binding Proteins / chemistry
  • DNA-Binding Proteins / metabolism*
  • Databases, Protein
  • Machine Learning*
  • Molecular Docking Simulation
  • Protein Binding
  • Protein Conformation
  • Sequence Analysis, Protein / methods

Substances

  • DNA-Binding Proteins
  • DNA