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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.

DOI:10.1111/cbdd.13847
PMID:33894099
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8250495/
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。

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本文引用的文献

1
Structural basis for the neutralization of SARS-CoV-2 by an antibody from a convalescent patient.SARS-CoV-2 中和抗体的结构基础来自一位康复期患者的抗体。
Nat Struct Mol Biol. 2020 Oct;27(10):950-958. doi: 10.1038/s41594-020-0480-y. Epub 2020 Jul 31.
2
Neutralizing nanobodies bind SARS-CoV-2 spike RBD and block interaction with ACE2.中和纳米抗体结合 SARS-CoV-2 刺突 RBD 并阻断与 ACE2 的相互作用。
Nat Struct Mol Biol. 2020 Sep;27(9):846-854. doi: 10.1038/s41594-020-0469-6. Epub 2020 Jul 13.
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.
4
Structural Basis for Potent Neutralization of Betacoronaviruses by Single-Domain Camelid Antibodies.结构基础为单域骆驼科抗体对β冠状病毒的强效中和作用。
Cell. 2020 May 28;181(5):1004-1015.e15. doi: 10.1016/j.cell.2020.04.031. Epub 2020 May 5.
5
Neutralizing Antibodies against SARS-CoV-2 and Other Human Coronaviruses.针对 SARS-CoV-2 和其他人类冠状病毒的中和抗体。
Trends Immunol. 2020 May;41(5):355-359. doi: 10.1016/j.it.2020.03.007. Epub 2020 Apr 2.
6
A highly conserved cryptic epitope in the receptor binding domains of SARS-CoV-2 and SARS-CoV.SARS-CoV-2 和 SARS 冠状病毒受体结合域中高度保守的隐蔽表位。
Science. 2020 May 8;368(6491):630-633. doi: 10.1126/science.abb7269. Epub 2020 Apr 3.
7
Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor.SARS-CoV-2 刺突受体结合域与 ACE2 受体复合物的结构。
Nature. 2020 May;581(7807):215-220. doi: 10.1038/s41586-020-2180-5. Epub 2020 Mar 30.
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.
10
Molecular Simulation of Oncostatin M and Receptor (OSM-OSMR) Interaction as a Potential Therapeutic Target for Inflammatory Bowel Disease.抑瘤素M与受体(OSM-OSMR)相互作用的分子模拟作为炎症性肠病的潜在治疗靶点
Front Mol Biosci. 2020 Mar 4;7:29. doi: 10.3389/fmolb.2020.00029. eCollection 2020.