Yarnitzky Talia, Levit Anat, Niv Masha Y
The Hebrew University, The Fritz Haber Research Center, Jerusalem 91904, Israel.
Curr Opin Drug Discov Devel. 2010 May;13(3):317-25.
GPCRs are key components of signal transduction pathways and are important drug targets. Recently determined GPCR structures provide opportunities for advancements in GPCR modeling. This review focuses on the choice of experimental templates, the treatment of extracellular loops and the description of ligand-binding sites in GPCR modeling. Four important conclusions are reached in this review: (i) multi-template models may produce better structures than single-template models, although inferior models may also be generated by multi-template approaches, warranting the development and application of improved model assessment methods; (ii) cautious incorporation of knowledge-based constraints can improve the quality of models and docking; (iii) molecular dynamics simulations account for structural features not observed in X-ray structures and may refine docking poses; and (iv) while progress in de novo methods for long loop prediction is ongoing, loopless models provide a practical alternative for docking and virtual screening applications.
G蛋白偶联受体(GPCRs)是信号转导通路的关键组成部分,也是重要的药物靶点。最近确定的GPCR结构为GPCR建模的进展提供了机会。本综述重点关注实验模板的选择、细胞外环的处理以及GPCR建模中配体结合位点的描述。本综述得出了四个重要结论:(i)多模板模型可能比单模板模型产生更好的结构,尽管多模板方法也可能生成较差的模型,这就需要开发和应用改进的模型评估方法;(ii)谨慎纳入基于知识的约束条件可以提高模型和对接的质量;(iii)分子动力学模拟考虑了X射线结构中未观察到的结构特征,可能会优化对接姿势;(iv)虽然从头预测长环的方法正在取得进展,但无环模型为对接和虚拟筛选应用提供了一种实用的替代方法。