通过贝叶斯统计分析确定 TMEM16/anoctamin 蛋白中脂质和离子转运的决定因素

IF 3.3 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Biophysical chemistry Pub Date : 2024-02-01 DOI:10.1016/j.bpc.2024.107194
Oscar Moran , Paolo Tammaro
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引用次数: 0

摘要

TMEM16/Anoctamin 蛋白家族(TMEM16x)由具有不同功能的成员组成;一些成员形成 Ca2+ 激活的氯离子通道,而另一些成员则是脂质扰乱酶或兼具这两种功能。TMEM16x 蛋白通常在激动剂诱导细胞内 Ca2+ 上升时被激活;因此,它们将 Ca2+ 信号与细胞电活动或质脂平衡结合起来。这些功能的结构域尚未完全确定。我们使用奈夫贝叶斯分类器来深入了解这些结构域。该方法能够识别参与离子或脂质转运的区域,并提出可能进行药理学开发的结构域。该方法可以预测任何给定 TMEM16x 的转运特性。我们设想可以利用这种策略来阐明由发挥不同分子作用的成员组成的任何蛋白质家族的结构-功能关系。
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Identification of determinants of lipid and ion transport in TMEM16/anoctamin proteins through a Bayesian statistical analysis

The TMEM16/Anoctamin protein family (TMEM16x) is composed of members with different functions; some members form Ca2+-activated chloride channels, while others are lipid scramblases or combine the two functions. TMEM16x proteins are typically activated in response to agonist-induced rises of intracellular Ca2+; thus, they couple Ca2+-signalling with cell electrical activity or plasmalemmal lipid homeostasis. The structural domains underlying these functions are not fully defined. We used a Naïve Bayes classifier to gain insights into these domains. The method enabled identification of regions involved in either ion or lipid transport, and suggested domains for possible pharmacological exploitation. The method allowed the prediction of the transport property of any given TMEM16x. We envisage this strategy could be exploited to illuminate the structure-function relationship of any protein family composed of members playing different molecular roles.

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来源期刊
Biophysical chemistry
Biophysical chemistry 生物-生化与分子生物学
CiteScore
6.10
自引率
10.50%
发文量
121
审稿时长
20 days
期刊介绍: Biophysical Chemistry publishes original work and reviews in the areas of chemistry and physics directly impacting biological phenomena. Quantitative analysis of the properties of biological macromolecules, biologically active molecules, macromolecular assemblies and cell components in terms of kinetics, thermodynamics, spatio-temporal organization, NMR and X-ray structural biology, as well as single-molecule detection represent a major focus of the journal. Theoretical and computational treatments of biomacromolecular systems, macromolecular interactions, regulatory control and systems biology are also of interest to the journal.
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