比托哌汀在 SLC6 转运体家族中的广泛相互作用的硅学证据。

IF 2.8 4区 医学 Q2 PHARMACOLOGY & PHARMACY
Gustavo Almeida de Carvalho, Paul Magogo Tambwe, Lucas Rodrigues Couto Nascimento, Bruna Kelly Pedrosa Campos, Raphaela Almeida Chiareli, Guilhermino Pereira Nunes Junior, Ricardo Menegatti, Renato Santiago Gomez, Mauro Cunha Xavier Pinto
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引用次数: 0

摘要

甘氨酸转运体 1 型(GlyT1)对中枢神经系统的功能有重大影响,会影响甘氨酸能和谷氨酸能神经递质。Bitopertin 是首个进入临床试验的 GlyT1 抑制剂,曾被开发用于治疗精神分裂症,但疗效有限。尽管如此,比托哌汀的重新定位仍可推进各种病症的治疗。本研究旨在利用计算方法了解比托哌汀的作用机制,探索其脱靶效应,并提供全面的药理学资料。相似性集合方法(SEA)和SwissTargetPrediction初步预测了靶点,随后在SWISS-MODEL和GalaxyWeb服务器上进行了分子建模。使用 PrankWeb 确定了结合位点,并使用 DockThor 和 GOLD 软件进行了分子对接。分子动力学分析在 Visual Dynamics 平台上进行。在 SEA 和 SwissTargetPrediction 上进行的反向筛选确定了 GlyT1 (SLC6A9)、GlyT2 (SLC6A5)、PROT (SLC6A7) 和 DAT (SLC6A3) 为潜在的 bitopertin 靶点。在 SwissModel 上进行同源建模生成了高分辨率模型,并在 GalaxyWeb 上进行了进一步优化。PrankWeb 在 GlyT1、GlyT2、PROT 和 DAT 中发现了类似的结合位点,表明它们之间可能存在相互作用。对接研究表明,bitopertin 与 GlyT1 相互作用,并接近 GlyT2 和 PROT。分子动力学证实了对接结果,突显了比托哌汀超越 GlyT1 的目标稳定性。研究得出结论,比托哌汀可能与多个 SLC6 家族靶点相互作用,这表明它具有更广泛的药理特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In silico evidence of bitopertin's broad interactions within the SLC6 transporter family.

The Glycine Transporter Type 1 (GlyT1) significantly impacts central nervous system functions, influencing glycinergic and glutamatergic neurotransmission. Bitopertin, the first GlyT1 inhibitor in clinical trials, was developed for schizophrenia treatment but showed limited efficacy. Despite this, bitopertin's repositioning could advance treating various pathologies. This study aims to understand bitopertin's mechanism of action using computational methods, exploring off-target effects, and providing a comprehensive pharmacological profile. Similarity Ensemble Approach (SEA) and SwissTargetPrediction initially predicted targets, followed by molecular modeling on SWISS-MODEL and GalaxyWeb servers. Binding sites were identified using PrankWeb, and molecular docking was performed with DockThor and GOLD software. Molecular dynamics analyses were conducted on the Visual Dynamics platform. Reverse screening on SEA and SwissTargetPrediction identified GlyT1 (SLC6A9), GlyT2 (SLC6A5), PROT (SLC6A7), and DAT (SLC6A3) as potential bitopertin targets. Homology modeling on SwissModel generated high-resolution models, optimized further on GalaxyWeb. PrankWeb identified similar binding sites in GlyT1, GlyT2, PROT, and DAT, indicating potential interaction. Docking studies suggested bitopertin's interaction with GlyT1 and proximity to GlyT2 and PROT. Molecular dynamics confirmed docking results, highlighting bitopertin's target stability beyond GlyT1. The study concludes that bitopertin potentially interacts with multiple SLC6 family targets, indicating a broader pharmacological property.

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来源期刊
CiteScore
6.60
自引率
0.00%
发文量
91
审稿时长
3 months
期刊介绍: JPP keeps pace with new research on how drug action may be optimized by new technologies, and attention is given to understanding and improving drug interactions in the body. At the same time, the journal maintains its established and well-respected core strengths in areas such as pharmaceutics and drug delivery, experimental and clinical pharmacology, biopharmaceutics and drug disposition, and drugs from natural sources. JPP publishes at least one special issue on a topical theme each year.
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