Science for Life Laboratory, Box 1031. 17121 Solna, Sweden.
Curr Top Med Chem. 2015;15(24):2484-503. doi: 10.2174/1568026615666150701112853.
G protein-coupled receptors (GPCRs) constitute the largest group of human membrane proteins and have received significant attention in drug discovery for their important roles in physiological processes. Drug development for GPCRs has been remarkably successful and several of the most profitable pharmaceuticals on the market target members of this superfamily. Breakthroughs in structural biology for GPCRs have revealed how their binding sites recognize extracellular molecules at the atomic level. High-resolution crystal structures of GPCR-drug complexes capturing different receptor conformations are now available, which have provided insights into how ligands stabilize different functional states. Recently, the basis for subtype selectivity and novel allosteric binding sites has also been revealed by crystal structures. These accomplishments provide exciting opportunities to identify novel GPCR ligands using in silico structure-based methods such as molecular docking. Increased computational power now enables docking screens of large chemical libraries to identify molecules that complement GPCR binding sites, which may provide possibilities to identify ligands with tailored pharmacological properties. This review focuses on prospective docking screens against GPCRs and how this technique can be used to identify lead candidates with specific signaling or selectivity profiles. The current state of this field suggests that molecular docking, in combination with further understanding of GPCR signaling, will play an important role in future drug discovery.
G 蛋白偶联受体(GPCRs)是人类膜蛋白中最大的一类,因其在生理过程中的重要作用,在药物发现中受到了广泛关注。针对 GPCR 的药物开发非常成功,市场上一些最赚钱的药物都针对该超家族的成员。GPCR 的结构生物学方面的突破揭示了它们的结合位点如何在原子水平上识别细胞外分子。现在已经获得了高分辨率的 GPCR-药物复合物晶体结构,这些结构捕捉到了不同的受体构象,为了解配体如何稳定不同的功能状态提供了线索。最近,晶体结构还揭示了亚型选择性和新型变构结合位点的基础。这些成就为使用基于结构的计算方法(如分子对接)来识别新型 GPCR 配体提供了令人兴奋的机会。现在计算能力的提高使得可以对大型化学文库进行对接筛选,以识别与 GPCR 结合位点互补的分子,这可能为具有特定药理学特性的配体的识别提供了可能性。本文综述了针对 GPCR 的前瞻性对接筛选,以及如何利用该技术识别具有特定信号转导或选择性特征的先导候选物。该领域的现状表明,分子对接与对 GPCR 信号转导的进一步理解相结合,将在未来的药物发现中发挥重要作用。