Protein-RNA Interaction Interface Prediction and Design

被引:2
|
作者
Huang Yang-Yu [1 ]
Yang Xiu-Feng [1 ]
Li Hao-Tian [1 ]
Ji Xiao-Feng [1 ]
Cheng Hong-Li [1 ]
Zhao Yun-Jie [1 ]
Guo Da-Chuan [1 ]
Li Lin [1 ]
Liu Shi-Yong [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Phys, Biomol Phys & Modeling Grp, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
Protein-RNA interaction; Molecular docking; Interface design; Complex structure prediction; TRANSIENT ENCOUNTER COMPLEXES; ATOM MOLECULAR-MECHANICS; BINDING SITES; REFERENCE STATE; FORCE-FIELD; MEAN FORCE; SHAPE COMPLEMENTARITY; CONFORMATIONAL-CHANGE; COMPUTATIONAL DESIGN; SCORING FUNCTIONS;
D O I
10.3866/PKU.WHXB201209111
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
RNA-protein interactions play key roles in many biological processes. The three dimensional (3D) structure of protein-RNA complexes can be determined experimentally by structural biologists. The recognition between protein and RNA can be understood from the 3D atomic structure. However, the structure determination of protein-RNA complexes by experimental methods is often difficult and costly, and limited to the binding strength. Thus, the prediction and design of protein-RNA complex structures is important in biological medical research. In this review, we will discuss the recent progress in protein-RNA interface prediction and design, which includes the following aspects: (1) protein-RNA docking and the conformational change on binding; (2) the recognition mechanism of protein-RNA binding; (3) the molecular design based on the protein-RNA interface. Improvement of the protein-RNA docking algorithm will help us annotate a large number of proteins and RNA with unknown function, and molecular design based on macromolecular interactions will be useful in drug design.
引用
收藏
页码:2390 / 2400
页数:11
相关论文
共 140 条
  • [1] BIASED PROBABILITY MONTE-CARLO CONFORMATIONAL SEARCHES AND ELECTROSTATIC CALCULATIONS FOR PEPTIDES AND PROTEINS
    ABAGYAN, R
    TOTROV, M
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 1994, 235 (03) : 983 - 1002
  • [2] Structure-based analysis of Protein-RNA interactions using the program ENTANGLE
    Allers, J
    Shamoo, Y
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 2001, 311 (01) : 75 - 86
  • [3] Structure of the trp RNA-binding attenuation protein, TRAP, bound to RNA
    Antson, AA
    Dodson, EJ
    Dodson, G
    Greaves, RB
    Chen, XP
    Gollnick, P
    [J]. NATURE, 1999, 401 (6750) : 235 - 242
  • [4] Protein-protein interactions and cancer: small molecules going in for the kill
    Arkin, M
    [J]. CURRENT OPINION IN CHEMICAL BIOLOGY, 2005, 9 (03) : 317 - 324
  • [5] Small-molecule inhibitors of protein-protein interactions: Progressing towards the dream
    Arkin, MR
    Wells, JA
    [J]. NATURE REVIEWS DRUG DISCOVERY, 2004, 3 (04) : 301 - 317
  • [6] Dissecting protein-RNA recognition sites
    Bahadur, Ranjit Prasad
    Zacharias, Martin
    Janin, Joel
    [J]. NUCLEIC ACIDS RESEARCH, 2008, 36 (08) : 2705 - 2716
  • [7] Protein-Protein Interactions: Interface Analysis, Binding Free Energy Calculation and Interaction Design
    Bai Hong-Jun
    Lai Lu-Hua
    [J]. ACTA PHYSICO-CHIMICA SINICA, 2010, 26 (07) : 1988 - 1997
  • [8] A protein-RNA docking benchmark (I): Nonredundant cases
    Barik, Amita
    Nithin, C.
    Manasa, P.
    Bahadur, Ranjit Prasad
    [J]. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2012, 80 (07) : 1866 - 1871
  • [9] Atomic Analysis of Protein-Protein Interfaces with Known Inhibitors: The 2P2I Database
    Bourgeas, Raphael
    Basse, Marie-Jeanne
    Morelli, Xavier
    Roche, Philippe
    [J]. PLOS ONE, 2010, 5 (03):
  • [10] Sequence Coevolution between RNA and Protein Characterized by Mutual Information between Residue Triplets
    Brandman, Relly
    Brandman, Yigal
    Pande, Vijay S.
    [J]. PLOS ONE, 2012, 7 (01):