Innovative Drug Research and Bioinformatics Group, College of Pharmaceutical Sciences , Zhejiang University , Hangzhou 310058 , China.
Innovative Drug Research and Bioinformatics Group, School of Pharmaceutical Sciences and Collaborative Innovation Center for Brain Science , Chongqing University , Chongqing 401331 , China.
ACS Chem Neurosci. 2018 May 16;9(5):1128-1140. doi: 10.1021/acschemneuro.7b00490. Epub 2018 Jan 24.
Dual inhibition of serotonin and norepinephrine transporters (hSERT and hNET) gives greatly improved efficacy and tolerability for treating major depressive disorder (MDD) compared with selective reuptake inhibitors. Pioneer studies provided valuable information on structure, function, and pharmacology of drugs targeting both hSERT and hNET (serotonin-norepinephrine reuptake inhibitors, SNRIs), and the differential binding mechanism between SNRIs and selective inhibitors of 5-HT (SSRIs) or NE (sNRIs) to their corresponding targets was expected to be able to facilitate the discovery of a privileged drug-like scaffold with improved efficacy. However, the dual-target mechanism of SNRIs was still elusive, and the binding mode distinguishing SNRIs from SSRIs and sNRIs was also unclear. Herein, an integrated computational strategy was adopted to discover the binding mode shared by all FDA approved SNRIs. The comparative analysis of binding free energy at the per-residue level discovered that residues Phe335, Leu337, Gly338, and Val343 located at the transmembrane domain 6 (TM6) of hSERT (the corresponding residues Phe317, Leu319, Gly320, and Val325 in hNET) were the determinants accounting for SNRIs' dual-acting inhibition, while residues lining TM3 and 8 (Ile172, Ser438, Thr439, and Leu443 in hSERT; Val148, Ser419, Ser420, and Met424 in hNET) contributed less to the binding of SNRIs than that of SSRIs and sNRIs. Based on these results, the distances between an SNRI's centroid and the centroids of its two aromatic rings (measuring the depth of rings stretching into hydrophobic pockets) were discovered as the key to the SNRIs' dual-targeting mechanism. This finding revealed SNRIs' binding mechanism at an atomistic level, which could be further utilized as structural blueprints for the rational design of privileged drug-like scaffolds treating MDD.
与选择性再摄取抑制剂相比,同时抑制血清素和去甲肾上腺素转运体(hSERT 和 hNET)能极大地提高治疗重度抑郁症(MDD)的疗效和耐受性。先驱研究为靶向 hSERT 和 hNET 的药物(血清素-去甲肾上腺素再摄取抑制剂,SNRIs)的结构、功能和药理学提供了宝贵的信息,并且 SNRIs 与选择性 5-HT 抑制剂(SSRIs)或 NE(sNRIs)之间的差异结合机制及其对应靶点有望促进发现具有改善疗效的优势类似物药物骨架。然而,SNRIs 的双重作用机制仍然难以捉摸,SNRIs 与 SSRIs 和 sNRIs 的结合模式也不清楚。在此,采用综合计算策略来发现所有已批准的 FDA SNRIs 的共享结合模式。在残基水平上比较结合自由能的分析发现,位于 hSERT 跨膜域 6(TM6)的残基 Phe335、Leu337、Gly338 和 Val343(hNET 中的对应残基 Phe317、Leu319、Gly320 和 Val325)是 SNRIs 双作用抑制的决定因素,而位于 TM3 和 8 的残基(hSERT 中的 Ile172、Ser438、Thr439 和 Leu443;hNET 中的 Val148、Ser419、Ser420 和 Met424)对 SNRIs 的结合贡献小于 SSRIs 和 sNRIs。基于这些结果,发现 SNRI 的质心与其两个芳环质心之间的距离(测量环深入疏水区的深度)是 SNRIs 双重靶向机制的关键。这一发现揭示了 SNRIs 在原子水平上的结合机制,可进一步作为治疗 MDD 的优势类似物药物骨架的合理设计的结构蓝图。