Samna Soumana Oumarou, Garnier Norbert, Genest Monique
Centre de Biophysique Moléculaire, UPR 4301, CNRS, University of Orléans, rue Charles Sadron, 45071, Orléans Cedex 02, France.
Eur Biophys J. 2007 Nov;36(8):1071-82. doi: 10.1007/s00249-007-0195-6. Epub 2007 Jul 24.
Computational methods are useful to identify favorable structures of transmembrane (TM) helix oligomers when experimental data are not available or when they cannot help to interpret helix-helix association. We report here a global search method using molecular dynamics (MD) simulations to predict the structures of transmembrane homo and heterodimers. The present approach is based only on sequence information without any experimental data and is first applied to glycophorin A to validate the protocol and to the HER2-HER3 heterodimer receptor. The method successfully reproduces the experimental structures of the TM domain of glycophorin A (GpA(TM)) with a root mean square deviation of 1.5 A. The search protocol identifies three energetically stable models of the TM domain of HER2-HER3 receptor with favorable helix-helix arrangement, including right-handed and left-handed coiled-coils. The predicted TM structures exhibit the GxxxG-like motif at the dimer interface which is presumed to drive receptor oligomerization. We demonstrate that native structures of TM domain can be predicted without quantitative experimental data. This search protocol could help to predict structures of the TM domain of HER heterodimer family.
当没有实验数据可用或实验数据无法帮助解释螺旋-螺旋缔合时,计算方法对于识别跨膜(TM)螺旋寡聚体的有利结构很有用。我们在此报告一种使用分子动力学(MD)模拟的全局搜索方法,以预测跨膜同二聚体和异二聚体的结构。本方法仅基于序列信息,无需任何实验数据,首先应用于血型糖蛋白A以验证该方案,然后应用于HER2-HER3异二聚体受体。该方法成功地再现了血型糖蛋白A(GpA(TM))跨膜结构域的实验结构,均方根偏差为1.5埃。搜索方案确定了HER2-HER3受体跨膜结构域的三个能量稳定模型,具有有利的螺旋-螺旋排列,包括右手和左手卷曲螺旋。预测的跨膜结构在二聚体界面处呈现出类似GxxxG的基序,推测该基序驱动受体寡聚化。我们证明,无需定量实验数据即可预测跨膜结构域的天然结构。该搜索方案有助于预测HER异二聚体家族跨膜结构域的结构。