Research Article Open Access

Essential Proteins Discovery Methods based on the Protein-Protein Interaction Networks

LingZhi Zhu1, Junling Zhang2, Lingya He1, Jun Wang1, Zhenwu Peng1 and Zixin Jian1
  • 1 Hunan Institute of Technology, China
  • 2 Hengyang Normal University, China

Abstract

Essential proteins are closely related to biological survival or reproduction and have important application value in respect of the location of disease genes, disease diagnosis and treatment, drug design. In order to discovery essential proteins, the researchers have proposed experimental approaches, but these methods require laborious and time consuming. With the development of high-throughput sequencing techniques, plenty of computational methods based on the Protein-Protein Interaction Networks have been put forward to identify essential proteins. In this study, we firstly have introduced the basic characteristics and data set of essential proteins and essential proteins discovery method in the Protein-Protein Interaction Networks. Following that, we have analyzed and compared the difference of various existing strategies and then have pointed out the merits and demerits of them in detailed. At last, we give several important problems and development trend about essential proteins discovery methods, which provide a strong foundation for the further research.

American Journal of Biochemistry and Biotechnology
Volume 13 No. 4, 2017, 242-251

DOI: https://doi.org/10.3844/ajbbsp.2017.242.251

Submitted On: 6 November 2017 Published On: 1 January 2018

How to Cite: Zhu, L., Zhang, J., He, L., Wang, J., Peng, Z. & Jian, Z. (2017). Essential Proteins Discovery Methods based on the Protein-Protein Interaction Networks. American Journal of Biochemistry and Biotechnology, 13(4), 242-251. https://doi.org/10.3844/ajbbsp.2017.242.251

  • 4,687 Views
  • 1,805 Downloads
  • 2 Citations

Download

Keywords

  • Protein-Protein Interaction Networks
  • Essential Proteins
  • Network Centrality
  • Network Topology
  • Subcellular Localization Information
  • Protein Complexes