title: Computational approaches for modeling GPCR dimerization.
abstract: 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.
authors.forename: Xuan-Yu
authors.initials: XY
authors.lastname: Meng
authors.forename: Mihaly
authors.initials: M
authors.lastname: Mezei
authors.affiliation: Institute of Quantitative Biology and Medicine, Jiangsu Provincial Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, China. xymeng@suda.edu.cn.
authors.forename: Meng
authors.initials: M
authors.lastname: Cui
mesh_terms: D000818:Animals; D019295:Computational Biology; D008958:Models, Molecular; D055503:Protein Multimerization; D043562:Receptors, G-Protein-Coupled / Q000737:chemistry*
chemical_list: D043562:Receptors, G-Protein-Coupled