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Designing modulators of monoamine transporters using virtual screening techniques

机译:使用虚拟筛选技术设计单胺转运蛋白的调节剂

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The plasma-membrane monoamine transporters (MATs), including the serotonin (SERT), norepinephrine (NET) and dopamine (DAT) transporters, serve a pivotal role in limiting monoamine-mediated neurotransmission through the reuptake of their respective monoamine neurotransmitters. The transporters are the main target of clinically used psychostimulants and antidepressants. Despite the availability of several potent and selective MAT substrates and inhibitors the continuing need for therapeutic drugs to treat brain disorders involving aberrant monoamine signaling provides a compelling reason to identify novel ways of targeting and modulating the MATs. Designing novel modulators of MAT function have been limited by the lack of three dimensional structure information of the individual MATs. However, crystal structures of LeuT, a bacterial homolog of MATs, in a substrate-bound occluded, substrate-free outward-open, and an apo inward-open state and also with competitive and non-competitive inhibitors have been determined. In addition, several structures of the Drosophila DAT have also been resolved. Together with computational modeling and experimental data gathered over the past decade, these structures have dramatically advanced our understanding of several aspects of SERT, NET, and DAT transporter function, including some of the molecular determinants of ligand interaction at orthosteric substrate and inhibitor binding pockets. In addition progress has been made in the understanding of how allosteric modulation of MAT function can be achieved. Here we will review all the efforts up to date that has been made through computational approaches employing structural models of MATs to design small molecule modulators to the orthosteric and allosteric sites using virtual screening techniques.
机译:血浆膜单胺转运蛋白(MATs),包括5-羟色胺(SERT),去甲肾上腺素(NET)和多巴胺(DAT)转运蛋白,在通过重新摄取各自的单胺神经递质来限制单胺介导的神经传递中起关键作用。转运蛋白是临床上使用的精神刺激药和抗抑郁药的主要靶标。尽管有几种有效的和选择性的MAT底物和抑制剂,但对治疗涉及异常单胺信号转导的脑部疾病的治疗药物的持续需求为确定靶向和调节MATs的新方法提供了令人信服的理由。由于缺少各个MAT的三维结构信息,因此设计MAT功能的新型调制器受到了限制。然而,已经确定了LeuT的晶体结构,其是MAT的细菌同源物,处于底物结合的闭塞的,无底物的向外开放和载脂蛋白向内开放的状态,并且还具有竞争性和非竞争性抑制剂。此外,果蝇DAT的几种结构也已解析。连同过去十年中收集的计算模型和实验数据,这些结构极大地增进了我们对SERT,NET和DAT转运蛋白功能的几个方面的理解,包括在正构底物和抑制剂结合口袋处配体相互作用的一些分子决定因素。另外,在理解如何实现MAT功能的变构调节方面已经取得了进展。在这里,我们将回顾通过使用MATs的结构模型的计算方法采用虚拟筛选技术设计正构和变构位点的小分子调节剂的最新方法。

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