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Author:

Li, C. (Li, C..) | Liu, Y. (Liu, Y..) | Lu, L. (Lu, L..) | Ma, M. (Ma, M..) | Tan, J. (Tan, J..) | Zhang, X. (Zhang, X..) | Wang, C. (Wang, C..)

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Scopus PKU CSCD

Abstract:

Molecular docking is one of the effective methods for studying the interaction and recognition between protein and RNA. The reasonable design of scoring functions and accurate RNA-binding site identification are critical to the successful prediction of protein-RNA complex structures. In this paper, the research progresses on the two important aspects involved in protein-RNA docking study including scoring function design and RNA-binding site prediction were reviewed. And a comparison for these currently proposed methods was made. Finally, the major difficulties were analyzed in the two aspects and the development direction in the future was discussed. © 2017, Editorial Department of Journal of Beijing University of Technology. All right reserved.

Keyword:

Molecular docking; Protein-RNA interactions; RNA-binding site prediction; Scoring function

Author Community:

  • [ 1 ] [Li, C.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Liu, Y.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Lu, L.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Ma, M.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Tan, J.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Zhang, X.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Wang, C.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2017

Issue: 12

Volume: 43

Page: 1779-1786

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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