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G 蛋白偶联受体寡聚化:计算方法。

Oligomerization of G protein-coupled receptors: computational methods.

机构信息

Research Programme on Biomedical Informatics (GRIB), IMIM/Pompeu Fabra University, Barcelona, Spain.

出版信息

Curr Med Chem. 2011;18(30):4588-605. doi: 10.2174/092986711797379320.

Abstract

Recent research has unveiled the complexity of mechanisms involved in G protein-coupled receptor (GPCR) functioning in which receptor dimerization/oligomerization may play an important role. Although the first high-resolution X-ray structure for a likely functional chemokine receptor dimer has been deposited in the Protein Data Bank, the interactions and mechanisms of dimer formation are not yet fully understood. In this respect, computational methods play a key role for predicting accurate GPCR complexes. This review outlines computational approaches focusing on sequence- and structure-based methodologies as well as discusses their advantages and limitations. Sequence-based approaches that search for possible protein-protein interfaces in GPCR complexes have been applied with success in several studies, but did not yield always consistent results. Structure-based methodologies are a potent complement to sequence-based approaches. For instance, protein-protein docking is a valuable method especially when guided by experimental constraints. Some disadvantages like limited receptor flexibility and non-consideration of the membrane environment have to be taken into account. Molecular dynamics simulation can overcome these drawbacks giving a detailed description of conformational changes in a native-like membrane. Successful prediction of GPCR complexes using computational approaches combined with experimental efforts may help to understand the role of dimeric/oligomeric GPCR complexes for fine-tuning receptor signaling. Moreover, since such GPCR complexes have attracted interest as potential drug target for diverse diseases, unveiling molecular determinants of dimerization/oligomerization can provide important implications for drug discovery.

摘要

最近的研究揭示了 G 蛋白偶联受体 (GPCR) 功能中涉及的机制的复杂性,其中受体二聚体/寡聚化可能起着重要作用。尽管第一个高分辨率的可能功能性趋化因子受体二聚体的 X 射线结构已被存入蛋白质数据库,但二聚体形成的相互作用和机制尚不完全清楚。在这方面,计算方法在预测准确的 GPCR 复合物方面起着关键作用。本文综述了基于序列和结构的方法的计算方法,并讨论了它们的优点和局限性。在几个研究中,已经成功地应用了搜索 GPCR 复合物中可能的蛋白质-蛋白质界面的基于序列的方法,但并不总是产生一致的结果。基于结构的方法是基于序列方法的有力补充。例如,蛋白质-蛋白质对接是一种很有价值的方法,尤其是在有实验约束的情况下。一些缺点,如受体灵活性有限和不考虑膜环境,必须考虑在内。分子动力学模拟可以克服这些缺点,在类似天然的膜中详细描述构象变化。使用计算方法结合实验研究成功预测 GPCR 复合物,可能有助于理解二聚体/寡聚体 GPCR 复合物在精细调节受体信号中的作用。此外,由于这种 GPCR 复合物作为多种疾病的潜在药物靶点引起了人们的兴趣,揭示二聚体/寡聚体的分子决定因素可以为药物发现提供重要的启示。

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