Suppr超能文献

针对 SARS-CoV-2 受体结合域的纳米抗体的计算设计与建模。

Computational design and modeling of nanobodies toward SARS-CoV-2 receptor binding domain.

机构信息

School of Pharmaceutical Sciences and Innovative Drug Research Centre, Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, Chongqing University, Chongqing, China.

College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.

出版信息

Chem Biol Drug Des. 2021 Jul;98(1):1-18. doi: 10.1111/cbdd.13847. Epub 2021 May 13.

Abstract

The ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a global health concern and pose a serious threat to humanity. There is an urgent need for developing therapeutic drugs and (or) biologics to prevent the spread of the virus. The life cycle of SARS-CoV-2 shows that the virus enters host cells by first binding to angiotensin-converting enzyme 2 (ACE2) through its spike protein receptor-binding domain (RBD). Therefore, blocking the binding between of ACE2 and SARS-CoV-2 RBD can inhibit the virus infection in the host cells. In this study, by grafting the complementarity-determining regions (CDRs) of developed SARS-CoV, MERS-CoVs specific neutralizing antibodies (nAbs) include monoclonal antibodies (mAbs) as well as SARS-CoV-2 mAbs onto a known stable nanobody (Nb) scaffold, and a total of 16 Nbs sequences were designed. Five Nbs, namely CS01, CS02, CS03, CS10, and CS16, were selected based on the free energy landscape of protein docking verified by the recently reported Nb-RBD cocrystal structures. CS01, CS02, and CS03 occupied the ACE2 binding site of RBD, while CS10 and CS16 were proposed to inhibit the interaction between RBD and ACE2 through an allosteric mechanism. Based on the structures of the five Nbs in complex with RBD, seven brand-new Nbs with enhanced binding affinities (CS02_RD01, CS03_RD01, CS03_RD02, CS03_RD03, CS03_RD04, CS16_RD01, and CS16_RD02) were generated by redesign of residues on the interface of the five Nbs contact with SARS-CoV-2 RBD. In addition, the identified "hot spots" on the interface of each complex provide useful information to understand the binding mechanism of designed Nbs to SARS-CoV-2 RBD. In sum, the predicted stabilities and high binding affinities of the 11 (re)designed Nbs indicating the potential of the developed computational framework in this work to design effective agents to block the infection of SARS-CoV-2.

摘要

由严重急性呼吸系统综合症冠状病毒 2 (SARS-CoV-2)引起的 2019 年冠状病毒病(COVID-19)大流行已成为全球关注的健康问题,并对人类构成严重威胁。因此,迫切需要开发治疗药物和(或)生物制剂以防止病毒传播。SARS-CoV-2 的生命周期表明,该病毒通过其刺突蛋白受体结合域(RBD)首先与血管紧张素转换酶 2(ACE2)结合进入宿主细胞。因此,阻断 ACE2 与 SARS-CoV-2 RBD 之间的结合可以抑制病毒在宿主细胞中的感染。在这项研究中,通过将已开发的 SARS-CoV、MERS-CoVs 特异性中和抗体(nAb)的互补决定区(CDRs)基因移植到已知稳定的纳米抗体(Nb)支架上,设计了总共 16 个 Nb 序列。基于最近报道的 Nb-RBD 共晶结构,通过蛋白对接的自由能景观验证,选择了 5 个 Nb(CS01、CS02、CS03、CS10 和 CS16)。CS01、CS02 和 CS03 占据了 RBD 的 ACE2 结合位点,而 CS10 和 CS16 则通过别构机制被提出抑制 RBD 和 ACE2 之间的相互作用。基于这 5 个 Nb 与 RBD 复合物的结构,通过重新设计与 SARS-CoV-2 RBD 相互作用的 5 个 Nb 界面上的残基,生成了 7 个具有增强结合亲和力的新型 Nb(CS02_RD01、CS03_RD01、CS03_RD02、CS03_RD03、CS03_RD04、CS16_RD01 和 CS16_RD02)。此外,每个复合物界面上确定的“热点”为理解设计的 Nb 与 SARS-CoV-2 RBD 结合机制提供了有用的信息。总之,11 个(重新)设计的 Nb 的预测稳定性和高结合亲和力表明,这项工作中开发的计算框架具有设计有效抑制剂以阻断 SARS-CoV-2 感染的潜力。

相似文献

5
Versatile and multivalent nanobodies efficiently neutralize SARS-CoV-2.多功能、多价纳米抗体能有效中和 SARS-CoV-2。
Science. 2020 Dec 18;370(6523):1479-1484. doi: 10.1126/science.abe4747. Epub 2020 Nov 5.
10
Human neutralizing antibodies elicited by SARS-CoV-2 infection.SARS-CoV-2 感染诱导的人体中和抗体。
Nature. 2020 Aug;584(7819):115-119. doi: 10.1038/s41586-020-2380-z. Epub 2020 May 26.

引用本文的文献

本文引用的文献

3
Cell entry mechanisms of SARS-CoV-2.SARS-CoV-2 的细胞进入机制。
Proc Natl Acad Sci U S A. 2020 May 26;117(21):11727-11734. doi: 10.1073/pnas.2003138117. Epub 2020 May 6.
8
Structural basis of receptor recognition by SARS-CoV-2.SARS-CoV-2 受体识别的结构基础。
Nature. 2020 May;581(7807):221-224. doi: 10.1038/s41586-020-2179-y. Epub 2020 Mar 30.
9
Updated Approaches against SARS-CoV-2.更新的针对 SARS-CoV-2 的方法。
Antimicrob Agents Chemother. 2020 May 21;64(6). doi: 10.1128/AAC.00483-20.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验