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摘要:
Protein-protein interactions are crucial in many biological processes. Therefore, determining the complex structure between proteins is valuable for understanding the molecular mechanism and developing drugs. Many proteins like ion channels are formed by symmetric homo-oligomers. In this study, we have proposed a hierarchical docking algorithm to predict the structure of Cn symmetric protein complexes, which is referred to as CHDOCK. The symmetric binding modes were first constructed by an FFT-based docking algorithm and then optimized by our iterative scoring function for protein-protein interactions. When tested on a symmetric protein docking benchmark of 212 homooligomeric complexes with Cn symmetry, CHDOCK obtained a significantly better performance in binding mode predictions than three state-of-the-art symmetric docking methods, M-ZDOCK, SAM, and SymmDock. When the top 10 predictions were considered, CHDOCK achieved a success rate of 44.81% and 72.17% for unbound docking and bound docking, respectively in comparison to those of 36.79% and 65.09% for M-ZDOCK, 31.60% and 54.25% for SAM, and 30.66% and 31.60% for SymmDock. CHDOCK is computationally efficient and can normally complete a symmetric docking calculation within 30 min. The CHDOCK can be freely accessed by a web server at http://huanglab.phys.hust.edu. cn/hsymdock/.
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篇名 CHDOCK: a hierarchical docking approach for modeling Cn symmetric homo-oligomeric complexes
来源期刊 生物物理学报:英文版 学科 生物学
关键词 SYMMETRIC DOCKING CN SYMMETRY Shape complementarity PROTEIN-PROTEIN interactions Molecular DOCKING
年,卷(期) 2019,(2) 所属期刊栏目
研究方向 页码范围 65-72
页数 8页 分类号 Q
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SYMMETRIC
DOCKING
CN
SYMMETRY
Shape
complementarity
PROTEIN-PROTEIN
interactions
Molecular
DOCKING
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生物物理学报:英文版
双月刊
2364-3439
10-1302/Q
Institute of Biophys
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32
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