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三维定量构效关系研究瞬时受体电位香草素 1 通道拮抗剂揭示了药物设计的潜力。

Three-Dimensional Quantitative Structure-Activity Relationship Study of Transient Receptor Potential Vanilloid 1 Channel Antagonists Reveals Potential for Drug Design Purposes.

机构信息

Department of Biotechnology, Chemistry and Pharmacy, University of Siena, 53100 Siena, Italy.

Centro della Scienza e della Tecnica, Polo Universitario Grossetano, Via Ginori 41, 58100 Grosseto, Italy.

出版信息

Int J Mol Sci. 2024 Jul 21;25(14):7951. doi: 10.3390/ijms25147951.

DOI:10.3390/ijms25147951
PMID:39063195
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11276937/
Abstract

Transient receptor potential vanilloid 1 (TRPV1) was reported to be a putative target for recovery from chronic pain, producing analgesic effects after its inhibition. A series of drug candidates were previously developed, without the ability to ameliorate the therapeutic outcome. Starting from previously designed compounds, derived from the hybridization of antagonist SB-705498 and partial agonist MDR-652, we performed a virtual screening on a pharmacophore model built by exploiting the Cryo-EM 3D structure of a nanomolar antagonist in complex with the human TRPV1 channel. The pharmacophore model was described by three pharmacophoric features, taking advantage of both the bioactive pose of the antagonist and the receptor exclusion spheres. The results of the screening were implemented inside a 3D-QSAR model, correlating with the negative decadic logarithm of the inhibition rate of the ligands. After the validation of the obtained 3D-QSAR model, we designed a new series of compounds by introducing key modifications on the original scaffold. Again, we determined the compounds' binding poses after alignment to the pharmacophoric model, and we predicted their inhibition rates with the validated 3D-QSAR model. The obtained values resulted in being even more promising than parent compounds, demonstrating that ongoing research still leaves much room for improvement.

摘要

瞬时受体电位香草酸 1 型(TRPV1)被报道是一种潜在的治疗慢性疼痛的靶点,其抑制后可产生镇痛作用。先前开发了一系列候选药物,但没有改善治疗效果的能力。从以前设计的化合物出发,这些化合物是由拮抗剂 SB-705498 和部分激动剂 MDR-652 的杂交衍生而来,我们利用 Cryo-EM 3D 结构对与人类 TRPV1 通道结合的纳摩尔拮抗剂复合物进行了基于药效团模型的虚拟筛选。该药效团模型由三个药效特征描述,利用拮抗剂的生物活性构象和受体排除球。筛选结果被实施在 3D-QSAR 模型中,与配体抑制率的负十进制对数相关。在验证获得的 3D-QSAR 模型后,我们在原始支架上引入关键修饰设计了一系列新的化合物。同样,我们在与药效团模型对齐后确定了化合物的结合构象,并使用经过验证的 3D-QSAR 模型预测了它们的抑制率。得到的值甚至比母体化合物更有希望,表明正在进行的研究仍有很大的改进空间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d97/11276937/af031b5f0456/ijms-25-07951-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d97/11276937/d3417616f050/ijms-25-07951-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d97/11276937/1d8f9a950690/ijms-25-07951-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d97/11276937/f48af2664432/ijms-25-07951-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d97/11276937/af031b5f0456/ijms-25-07951-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d97/11276937/d3417616f050/ijms-25-07951-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d97/11276937/1d8f9a950690/ijms-25-07951-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d97/11276937/f48af2664432/ijms-25-07951-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d97/11276937/af031b5f0456/ijms-25-07951-g004.jpg

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本文引用的文献

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Supporting Machine Learning Model in the Treatment of Chronic Pain.支持机器学习模型用于慢性疼痛治疗
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Human TRPV1 structure and inhibition by the analgesic SB-366791.人类 TRPV1 结构和镇痛剂 SB-366791 的抑制作用。
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TRPV1 in chronic pruritus and pain: Soft modulation as a therapeutic strategy.瞬时受体电位香草酸亚型1在慢性瘙痒和疼痛中的作用:以软调节作为一种治疗策略
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Discovery of (S)-N-(3-isopropylphenyl)-2-(5-phenylthiazol-2-yl)pyrrolidine-1-carboxamide as potent and brain-penetrant TRPV1 antagonist.发现(S)-N-(3-异丙基苯基)-2-(5-苯基噻唑-2-基)吡咯烷-1-甲酰胺是一种有效的、可穿透血脑屏障的 TRPV1 拮抗剂。
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