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十种新冠病毒变异株刺突蛋白的结构比较与药物筛选

Structural Comparison and Drug Screening of Spike Proteins of Ten SARS-CoV-2 Variants.

作者信息

Yang Qiangzhen, Jian Xuemin, Syed Ali Alamdar Shah, Fahira Aamir, Zheng Chenxiang, Zhu Zijia, Wang Ke, Zhang Jinmai, Wen Yanqin, Li Zhiqiang, Pan Dun, Lu Tingting, Wang Zhuo, Shi Yongyong

机构信息

Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China.

Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao 266003, China.

出版信息

Research (Wash D C). 2022 Feb 1;2022:9781758. doi: 10.34133/2022/9781758. eCollection 2022.

Abstract

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) has evolved many variants with stronger infectivity and immune evasion than the original strain, including Alpha, Beta, Gamma, Delta, Epsilon, Kappa, Iota, Lambda, and 21H strains. Amino acid mutations are enriched in the spike protein of SARS-CoV-2, which plays a crucial role in cell infection. However, the impact of these mutations on protein structure and function is unclear. Understanding the pathophysiology and pandemic features of these SARS-CoV-2 variants requires knowledge of the spike protein structures. Here, we obtained the spike protein structures of 10 main globally endemic SARS-CoV-2 strains using AlphaFold2. The clustering analysis based on structural similarity revealed the unique features of the mainly pandemic SARS-CoV-2 Delta variants, indicating that structural clusters can reflect the current characteristics of the epidemic more accurately than those based on the protein sequence. The analysis of the binding affinities of ACE2-RBD, antibody-NTD, and antibody-RBD complexes in the different variants revealed that the recognition of antibodies against S1 NTD and RBD was decreased in the variants, especially the Delta variant compared with the original strain, which may induce the immune evasion of SARS-CoV-2 variants. Furthermore, by virtual screening the ZINC database against a high-accuracy predicted structure of Delta spike protein and experimental validation, we identified multiple compounds that target S1 NTD and RBD, which might contribute towards the development of clinical anti-SARS-CoV-2 medicines. Our findings provided a basic foundation for future in vitro and in vivo investigations that might speed up the development of potential therapies for the SARS-CoV-2 variants.

摘要

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)已经进化出许多比原始毒株具有更强传染性和免疫逃逸能力的变体,包括阿尔法、贝塔、伽马、德尔塔、伊普西龙、卡帕、约塔、拉姆达和21H毒株。SARS-CoV-2的刺突蛋白中富含氨基酸突变,该蛋白在细胞感染中起关键作用。然而,这些突变对蛋白质结构和功能的影响尚不清楚。了解这些SARS-CoV-2变体的病理生理学和大流行特征需要了解刺突蛋白结构。在这里,我们使用AlphaFold2获得了10种主要全球流行的SARS-CoV-2毒株的刺突蛋白结构。基于结构相似性的聚类分析揭示了主要流行的SARS-CoV-2德尔塔变体的独特特征,表明结构聚类比基于蛋白质序列的聚类能更准确地反映当前的流行特征。对不同变体中ACE2-RBD、抗体-NTD和抗体-RBD复合物结合亲和力的分析表明,与原始毒株相比,变体中针对S1 NTD和RBD的抗体识别能力下降,尤其是德尔塔变体,这可能导致SARS-CoV-2变体的免疫逃逸。此外,通过针对德尔塔刺突蛋白的高精度预测结构虚拟筛选ZINC数据库并进行实验验证,我们鉴定出了多种靶向S1 NTD和RBD的化合物,这可能有助于临床抗SARS-CoV-2药物的开发。我们的研究结果为未来可能加速SARS-CoV-2变体潜在治疗方法开发的体外和体内研究提供了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28bf/8829538/e96cdd5a5993/RESEARCH2022-9781758.001.jpg

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