共 140 条
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:
国家高技术研究发展计划(863计划);
中国国家自然科学基金;
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.
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页码:2390 / 2400
页数:11
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