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对痕量胺相关受体2结构的新见解:探索3-碘甲腺原氨酸结合模式的同源建模研究。

New insights into the structure of the trace amine-associated receptor 2: Homology modelling studies exploring the binding mode of 3-iodothyronamine.

作者信息

Cichero Elena, Tonelli Michele

机构信息

Department of Pharmacy, University of Genoa, Genoa, Italy.

出版信息

Chem Biol Drug Des. 2017 May;89(5):790-796. doi: 10.1111/cbdd.12903. Epub 2016 Nov 29.

Abstract

Recent studies have further investigated the trace amine-associated receptor type 2 (TAAR2) pharmacology, revealing its role not only at the olfactory sensory neurons but also at the immune system, being expressed in human leucocytes. In particular, the ability of this receptor to bind the unselective TAAR ligand 3-iodo-thyronamine (T AM) was elucidated, making in the meanwhile the discovery of selective compounds a urgent need to derive much more suitable tools for studying TAARs. In this context, we developed our work on TAAR2 applying a structure-based computational protocol, including TAAR2 homology modelling and T AM docking studies. The results were compared with those we previously obtained about TAAR1, in order to point out new insights guiding for selectivity between TAAR1 and TAAR2. The in silico strategy applied allowed us to provide for the first time thorough TAAR2 homology models, which are expected to be useful tools for a further design process of more selective TAAR ligands.

摘要

最近的研究进一步探究了2型痕量胺相关受体(TAAR2)的药理学特性,发现它不仅在嗅觉感觉神经元中发挥作用,在免疫系统中也有表达,且在人类白细胞中存在。特别地,该受体与非选择性TAAR配体3-碘甲腺原氨酸(TAM)结合的能力得到了阐明,与此同时,迫切需要发现选择性化合物,以获得更适合研究TAARs的工具。在此背景下,我们运用基于结构的计算方案开展了关于TAAR2的研究工作,包括TAAR2同源建模和TAM对接研究。将结果与我们之前关于TAAR1的研究结果进行比较,以指出指导TAAR1和TAAR2之间选择性的新见解。所应用的计算机模拟策略使我们首次提供了全面的TAAR2同源模型,预计这些模型将成为进一步设计更具选择性TAAR配体的有用工具。

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