An AI-informed NMR structure reveals an extraordinary LETM1 F-EF-hand domain that functions as a two-way regulator of mitochondrial calcium

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Structure Pub Date : 2024-09-23 DOI:10.1016/j.str.2024.08.020
Qi-Tong Lin, Danielle M. Colussi, Taylor Lake, Peter B. Stathopulos
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Abstract

AlphaFold can accurately predict static protein structures but does not account for solvent conditions. Human leucine zipper EF-hand transmembrane protein-1 (LETM1) has one sequence-identifiable EF-hand but how calcium (Ca2+) affects structure and function remains enigmatic. Here, we used highly confident AlphaFold Cα predictions to guide nuclear Overhauser effect (NOE) assignments and structure calculation of the LETM1 EF-hand in the presence of Ca2+. The resultant NMR structure exposes pairing between a partial loop-helix and full helix-loop-helix, forming an unprecedented F-EF-hand with non-canonical Ca2+ coordination but enhanced hydrophobicity for protein interactions compared to calmodulin. The structure also reveals the basis for pH sensing at the link between canonical and partial EF-hands. Functionally, mutations that augmented or weakened Ca2+ binding increased or decreased matrix Ca2+, respectively, establishing F-EF as a two-way mitochondrial Ca2+ regulator. Thus, we show how to synergize AI prediction with NMR data, elucidating a solution-specific and extraordinary LETM1 F-EF-hand.

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人工智能信息核磁共振结构揭示了一个非同寻常的 LETM1 F-EF 手结构域,它是线粒体钙的双向调节器
AlphaFold 可以准确预测静态蛋白质结构,但不能考虑溶剂条件。人类亮氨酸拉链EF-手跨膜蛋白-1(LETM1)有一个序列可识别的EF-手,但钙(Ca2+)如何影响结构和功能仍然是个谜。在这里,我们使用高度可靠的 AlphaFold Cα 预测来指导核奥弗霍塞尔效应(NOE)分配和 Ca2+ 存在时 LETM1 EF-手的结构计算。由此产生的核磁共振结构揭示了部分环-螺旋和全螺旋-环-螺旋之间的配对,形成了一种前所未有的 F-EF 手,与钙调素相比,它具有非典型 Ca2+ 配位,但蛋白质相互作用的疏水性增强。该结构还揭示了典型 EF 手和部分 EF 手之间的 pH 感知基础。在功能上,增强或减弱 Ca2+ 结合的突变分别增加或减少了基质 Ca2+,从而确立了 F-EF 作为线粒体 Ca2+ 双向调节因子的地位。因此,我们展示了如何将人工智能预测与核磁共振数据协同作用,阐明了溶液特异性和非凡的 LETM1 F-EF 手。
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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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