de Graaf Chris, Foata Nicolas, Engkvist Ola, Rognan Didier
Bioinformatics of the Drug, CNRS UMR 7175-LC1, Université Louis Pasteur Strasbourg I, Illkirch F-67401, France.
Proteins. 2008 May 1;71(2):599-620. doi: 10.1002/prot.21724.
The current study describes the validation of high-throughput modeling procedures for the construction of the second extracellular loop (ecl2) of all nonolfactory human G Protein-coupled receptors. Our modeling flowchart is based on the alignment of essential residues determining the particular ecl2 fold observed in the bovine rhodopsin (bRho) crystal structure. For a set of GPCR targets, the dopamine D2 receptor (DRD2), adenosine A3 receptor (AA3R), and the thromboxane A2 receptor (TA2R), the implications of including ecl2 atomic coordinates is evaluated in terms of structure-based virtual screening accuracy: the suitability of the 3D models to distinguish between known antagonists and randomly chosen decoys using automated docking approaches. The virtual screening results of different models describing increasingly exhaustive receptor representations (seven helices only, seven helices and ecl2 loop, full model) have been compared. Explicit modeling of the ecl2 loop was found to be important in only one of three test cases whereas a loopless model was shown to be accurate enough in the two other receptors. An exhaustive comparison of ecl2 loops of 365 receptors to that of bRho suggests that explicit ecl2 loop modeling should be reserved to receptors where loop building can be guided by experimental restraints.
当前的研究描述了用于构建所有非嗅觉人类G蛋白偶联受体的第二个细胞外环(ecl2)的高通量建模程序的验证。我们的建模流程图基于对决定在牛视紫红质(bRho)晶体结构中观察到的特定ecl2折叠的必需残基的比对。对于一组GPCR靶点,即多巴胺D2受体(DRD2)、腺苷A3受体(AA3R)和血栓素A2受体(TA2R),根据基于结构的虚拟筛选准确性评估包含ecl2原子坐标的影响:使用自动对接方法,3D模型区分已知拮抗剂和随机选择的诱饵的适用性。比较了描述越来越详尽的受体表示(仅七个螺旋、七个螺旋和ecl2环、完整模型)的不同模型的虚拟筛选结果。在三个测试案例中,仅在其中一个案例中发现ecl2环的显式建模很重要,而在另外两个受体中,无环模型显示出足够的准确性。对365个受体的ecl2环与bRho的ecl2环进行详尽比较表明,应仅对可以由实验限制指导环构建的受体进行ecl2环的显式建模。