Protein Structure Predictions, Atomic Model Building, and Validation Using a Cryo-EM Density Map from Hepatitis B Virus Spherical Subviral Particle.

Protein Structure Predictions, Atomic Model Building, and Validation Using a Cryo-EM Density Map from Hepatitis B Virus Spherical Subviral Particle.
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DOI:
10.21769/bioprotoc.4751
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发表时间:
2023-07-20
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影响因子:
0.8
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--
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其他
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乙型肝炎病毒(HBV)感染是全球公共卫生问题。B型肝炎病毒(HBV)感染是全球公共卫生问题。在慢性感染过程中,HBV小表面抗原以非感染性球形亚病毒颗粒(SVP)的形式大量过量表达,具有很强的免疫原性。迄今为止,对HBV球形SVP结构的理解仅限于12-30 μ m,关于其结构的结论相互矛盾。我们使用冷冻电子显微镜(cryo-EM)和3D图像重建将HBV球形SVP求解为6.3 μ m。在这里,我们提出了一个扩展协议,将AlphaFold 2预测与中等分辨率的cryo-EM密度图相结合,以建立可靠的3D模型。该方案使用了cryo-EM社区中常用的多个软件包。该工作流程包括3D模型预测、模型评估、刚体拟合、柔性拟合、真实空间细化、模型验证和模型调整。最后,所描述的协议也可以应用于高分辨率冷冻EM数据集(2-4 μ m)。
Hepatitis B virus (HBV) infection is a global public health concern. During chronic infection, the HBV small-surface antigen is expressed in large excess as non-infectious spherical subviral particles (SVPs), which possess strong immunogenicity. To date, attempts at understanding the structure of HBV spherical SVP have been restricted to 12–30 Å with contradictory conclusions regarding its architecture. We have used cryo-electron microscopy (cryo-EM) and 3D image reconstruction to solve the HBV spherical SVP to 6.3 Å. Here, we present an extended protocol on combining AlphaFold2 prediction with a moderate-resolution cryo-EM density map to build a reliable 3D model. This protocol utilizes multiple software packages that are routinely used in the cryo-EM community. The workflow includes 3D model prediction, model evaluation, rigid-body fitting, flexible fitting, real-space refinement, model validation, and model adjustment. Finally, the described protocol can also be applied to high-resolution cryo-EM datasets (2–4 Å).