Computational approaches for modeling GPCR dimerization.
Computational approaches for modeling GPCR dimerization.
复制标题
GPCR 二聚化建模的计算方法。
DOI：
10.2174/1389201015666141013102515
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发表时间：
2014
影响因子：
2.8
通讯作者：
Cui M
中科院分区：
文献类型：
--
作者：
Meng XY;Mezei M;Cui M
Growing experimental evidences suggest that dimerization and oligomerization are important for G Protein-Coupled Receptors (GPCRs) function. The detailed structural information of dimeric/oligomeric GPCRs would be very important to understand their function. Although it is encouraging that recently several experimental GPCR structures in oligomeric forms have appeared, experimental determination of GPCR structures in oligomeric forms is still a big challenge, especially in mimicking the membrane environment. Therefore, development of computational approaches to predict dimerization of GPCRs will be highly valuable. In this review, we summarize computational approaches that have been developed and used for modeling of GPCR dimerization. In addition, we introduce a novel two-dimensional Brownian Dynamics based protein docking approach, which we have recently adapted, for GPCR dimer prediction.
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DOI：
10.1093/protein/gzn056
发表时间：
2008-12
期刊：
Protein engineering, design & selection : PEDS
影响因子：
--
作者：
Cui M;Mezei M;Osman R
通讯作者：
Osman R
影响因子：
64.8
作者：
Fotiadis, D;Liang, Y;Palczewski, K
通讯作者：
Palczewski, K
影响因子：
64.8
作者：
Choe, Hui-Woog;Kim, Yong Ju;Ernst, Oliver P.
通讯作者：
Ernst, Oliver P.
影响因子：
5.6
作者：
Davies, A;Gowen, BE;Saibil, HR
通讯作者：
Saibil, HR
影响因子：
8
作者：
Fanelli, Francesca;Mauri, Mario;Parenti, Marco
通讯作者：
Parenti, Marco