Deupi Xavier, Dölker Nicole, López-Rodríguez María Luz, Campillo Mercedes, Ballesteros Juan A, Pardo Leonardo
Laboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autonoma de Barcelona, E-08193 Bellaterra, Barcelona, Spain.
Curr Top Med Chem. 2007;7(10):991-8. doi: 10.2174/156802607780906799.
G protein-coupled receptors (GPCRs) interact with an extraordinary diversity of ligands by means of their extracellular domains and/or the extracellular part of the transmembrane (TM) segments. Each receptor subfamily has developed specific sequence motifs to adjust the structural characteristics of its cognate ligands to a common set of conformational rearrangements of the TM segments near the G protein binding domains during the activation process. Thus, GPCRs have fulfilled this adaptation during their evolution by customizing a preserved 7TM scaffold through conformational plasticity. We use this term to describe the structural differences near the binding site crevices among different receptor subfamilies, responsible for the selective recognition of diverse ligands among different receptor subfamilies. By comparing the sequence of rhodopsin at specific key regions of the TM bundle with the sequences of other GPCRs we have found that the extracellular region of TMs 2 and 3 provides a remarkable example of conformational plasticity within Class A GPCRs. Thus, rhodopsin-based molecular models need to include the plasticity of the binding sites among GPCR families, since the "quality" of these homology models is intimately linked with the success in the processes of rational drug-design or virtual screening of chemical databases.
G蛋白偶联受体(GPCRs)通过其细胞外结构域和/或跨膜(TM)片段的细胞外部分与种类繁多的配体相互作用。每个受体亚家族都形成了特定的序列基序,以便在激活过程中,将其同源配体的结构特征调整为G蛋白结合结构域附近TM片段的一组共同的构象重排。因此,GPCRs在其进化过程中通过构象可塑性对保守的7TM支架进行定制,从而实现了这种适应性。我们用这个术语来描述不同受体亚家族结合位点裂隙附近的结构差异,这些差异负责不同受体亚家族中多种配体的选择性识别。通过将视紫红质TM束特定关键区域的序列与其他GPCRs的序列进行比较,我们发现TM 2和TM 3的细胞外区域是A类GPCRs中构象可塑性的一个显著例子。因此,基于视紫红质的分子模型需要考虑GPCR家族之间结合位点的可塑性,因为这些同源模型的“质量”与合理药物设计或化学数据库虚拟筛选过程的成功密切相关。