Immunology and Microbiology Graduate Program, Morningside Graduate School of Biomedical Sciences, UMass Chan Medical School, Worcester, MA, United States.
Department of Pathology, UMass Chan Medical School, Worcester, MA, United States.
Front Immunol. 2022 Apr 4;13:864898. doi: 10.3389/fimmu.2022.864898. eCollection 2022.
Human roseolovirus U20 and U21 are type I membrane glycoproteins that have been implicated in immune evasion by interfering with recognition of classical and non-classical MHC proteins. U20 and U21 are predicted to be type I glycoproteins with extracytosolic immunoglobulin-like domains, but detailed structural information is lacking. AlphaFold and RoseTTAfold are next generation machine-learning-based prediction engines that recently have revolutionized the field of computational three-dimensional protein structure prediction. Here, we review the structural biology of viral immunoevasins and the current status of computational structure prediction algorithms. We use these computational tools to generate structural models for U20 and U21 proteins, which are predicted to adopt MHC-Ia-like folds with closed MHC platforms and immunoglobulin-like domains. We evaluate these structural models and place them within current understanding of the structural basis for viral immune evasion of T cell and natural killer cell recognition.
人类疱疹病毒 U20 和 U21 是 I 型膜糖蛋白,通过干扰对经典和非经典 MHC 蛋白的识别,被认为参与免疫逃逸。U20 和 U21 预计是具有细胞外免疫球蛋白样结构域的 I 型糖蛋白,但缺乏详细的结构信息。AlphaFold 和 RoseTTAfold 是基于机器学习的下一代预测引擎,最近彻底改变了计算三维蛋白质结构预测领域。在这里,我们回顾了病毒免疫逃逸的结构生物学和当前计算结构预测算法的现状。我们使用这些计算工具为 U20 和 U21 蛋白生成结构模型,这些蛋白预计采用 MHC-Ia 样折叠,具有封闭的 MHC 平台和免疫球蛋白样结构域。我们评估这些结构模型,并将其置于当前对病毒逃避 T 细胞和自然杀伤细胞识别的免疫逃逸的结构基础的理解范围内。