Using the Predicted Structure of the Amot Coiled Coil Homology Domain to Understand Lipid Binding.

Cameron Peck, Piia Virtanen, Derrick Johnson, Ann C Kimble-Hill
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Abstract

Angiomotins (Amots) are a family of adapter proteins that modulate cellular polarity, differentiation, proliferation, and migration. Amot family members have a characteristic lipid-binding domain, the coiled coil homology (ACCH) domain that selectively targets the protein to membranes, which has been directly linked to its regulatory role in the cell. Several spot blot assays were used to validate the regions of the domain that participate in its membrane association, deformation, and vesicle fusion activity, which indicated the need for a structure to define the mechanism. Therefore, we sought to understand the structure-function relationship of this domain in order to find ways to modulate these signaling pathways. After many failed attempts to crystallize the ACCH domain of each Amot family member for structural analysis, we decided to pursue homologous models that could be refined using small angle x-ray scattering data. Theoretical models were produced using the homology software SWISS-MODEL and threading software I-TASSER and LOMETS, followed by comparison to SAXS data for model selection and refinement. We present a theoretical model of the domain that is driven by alpha helices and short random coil regions. These alpha helical regions form a classic dimer interface followed by two wide spread legs that we predict to be the lipid binding interface.

Abstract Image

Abstract Image

Abstract Image

利用 Amot 盘旋线圈同源结构域的预测结构了解脂质结合。
Angiomotins(Amot)是一个适配蛋白家族,可调节细胞的极性、分化、增殖和迁移。Amot家族成员有一个特征性的脂质结合结构域--盘卷同源结构域(ACCH),该结构域可选择性地将蛋白质靶向膜,这与其在细胞中的调控作用直接相关。我们使用了几种斑点印迹检测方法来验证该结构域中参与膜结合、变形和囊泡融合活性的区域,这表明需要一种结构来确定其机制。因此,我们试图了解该结构域的结构-功能关系,以找到调节这些信号通路的方法。在多次尝试将 Amot 家族每个成员的 ACCH 结构域结晶化以进行结构分析失败后,我们决定利用小角 X 射线散射数据来完善同源模型。我们使用同源软件 SWISS-MODEL 以及穿线软件 I-TASSER 和 LOMETS 生成了理论模型,然后与 SAXS 数据进行比较,以选择和完善模型。我们提出了一个由α螺旋和短随机线圈区域驱动的结构域理论模型。这些α螺旋区域形成了一个典型的二聚体界面,其后是两条宽阔的腿,我们预测这是脂质结合界面。
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