The highly conserved RNA-binding specificity of nucleocapsid protein facilitates the identification of drugs with broad anti-coronavirus activity.
The highly conserved RNA-binding specificity of nucleocapsid protein facilitates the identification of drugs with broad anti-coronavirus activity.
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核衣壳蛋白高度保守的RNA结合特异性有助于鉴定具有广泛抗冠状病毒活性的药物
DOI:
10.1016/j.csbj.2022.09.007
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发表时间:
2022
影响因子:
6
通讯作者:
Yan, Jian
中科院分区:
文献类型:
--
作者:
Fan, Shaorong;Sun, Wenju;Fan, Ligang;Wu, Nan;Sun, Wei;Ma, Haiqian;Chen, Siyuan;Li, Zitong;Li, Yu;Zhang, Jilin;Yan, Jian
The binding of SARS-CoV-2 nucleocapsid (N) protein to both the 5′- and 3′-ends of genomic RNA has different implications arising from its binding to the central region during virion assembly. However, the mechanism underlying selective binding remains unknown. Herein, we performed the high-throughput RNA-SELEX (HTR-SELEX) to determine the RNA-binding specificity of the N proteins of various SARS-CoV-2 variants as well as other β-coronaviruses and showed that N proteins could bind two unrelated sequences, both of which were highly conserved across all variants and species. Interestingly, both sequences are virtually absent from the human transcriptome; however, they exhibit a highly enriched, mutually complementary distribution in the coronavirus genome, highlighting their varied functions in genome packaging. Our results provide mechanistic insights into viral genome packaging, thereby increasing the feasibility of developing drugs with broad-spectrum anti-coronavirus activity by targeting RNA binding by N proteins.
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DOI:
10.1093/bioinformatics/btr064
发表时间:
2011-04-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Grant CE;Bailey TL;Noble WS
通讯作者:
Noble WS
影响因子:
64.5
作者:
Hoffmann M;Krüger N;Schulz S;Cossmann A;Rocha C;Kempf A;Nehlmeier I;Graichen L;Moldenhauer AS;Winkler MS;Lier M;Dopfer-Jablonka A;Jäck HM;Behrens GMN;Pöhlmann S
通讯作者:
Pöhlmann S
DOI:
10.1016/j.jbc.2022.101677
发表时间:
2022-03
期刊:
The Journal of biological chemistry
影响因子:
--
作者:
Cascarina SM;Ross ED
通讯作者:
Ross ED
影响因子:
7.7
作者:
Nitta KR;Jolma A;Yin Y;Morgunova E;Kivioja T;Akhtar J;Hens K;Toivonen J;Deplancke B;Furlong EE;Taipale J
通讯作者:
Taipale J
影响因子:
11
作者:
Hsieh YC;Li HC;Chen SC;Lo SY
通讯作者:
Lo SY