Finding the sweet spot of the insect gustatory receptor

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
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引用次数: 0

Abstract

In a recent issue of Nature, Gomes et al.1 utilized structural, experimental, and computational biology to investigate the ligand-gated activation of BmGr9, an insect gustatory receptor specifically tuned to D-fructose. Together with two other studies published elsewhere, they are the first to describe how sugars bind to insect gustatory receptors.

寻找昆虫味觉感受器的甜蜜点
在最近一期的《自然》杂志上,Gomes 等人1 利用结构、实验和计算生物学方法研究了配体门控激活 BmGr9(一种专门针对 D-果糖的昆虫味觉受体)的过程。这些研究与发表在其他地方的另外两项研究一起,首次描述了糖是如何与昆虫味觉受体结合的。
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来源期刊
Structure
Structure 生物-生化与分子生物学
CiteScore
8.90
自引率
1.80%
发文量
155
审稿时长
3-8 weeks
期刊介绍: Structure aims to publish papers of exceptional interest in the field of structural biology. The journal strives to be essential reading for structural biologists, as well as biologists and biochemists that are interested in macromolecular structure and function. Structure strongly encourages the submission of manuscripts that present structural and molecular insights into biological function and mechanism. Other reports that address fundamental questions in structural biology, such as structure-based examinations of protein evolution, folding, and/or design, will also be considered. We will consider the application of any method, experimental or computational, at high or low resolution, to conduct structural investigations, as long as the method is appropriate for the biological, functional, and mechanistic question(s) being addressed. Likewise, reports describing single-molecule analysis of biological mechanisms are welcome. In general, the editors encourage submission of experimental structural studies that are enriched by an analysis of structure-activity relationships and will not consider studies that solely report structural information unless the structure or analysis is of exceptional and broad interest. Studies reporting only homology models, de novo models, or molecular dynamics simulations are also discouraged unless the models are informed by or validated by novel experimental data; rationalization of a large body of existing experimental evidence and making testable predictions based on a model or simulation is often not considered sufficient.
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