Literature DB >> 33894099

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

Jingyi Yang1, Zhao Zhang1, Fengyuan Yang1,2, Haiwei Zhang3, Haibo Wu4, Feng Zhu1,2, Weiwei Xue1.   

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.
© 2021 John Wiley & Sons A/S.

Entities:  

Keywords:  COVID-19; SARS-CoV-2 RBD; computational protein design; neutralizing nanobody; protein; protein docking

Mesh:

Substances:

Year:  2021        PMID: 33894099     DOI: 10.1111/cbdd.13847

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  13 in total

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Authors:  Alaa M Elgohary; Abdo A Elfiky; Florbela Pereira; Tarek Mohamed Abd El-Aziz; Mansour Sobeh; Reem K Arafa; Amr El-Demerdash
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Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

Review 4.  Virus structure and structure-based antivirals.

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5.  Molecular Docking and Dynamics Studies to Explore Effective Inhibitory Peptides Against the Spike Receptor Binding Domain of SARS-CoV-2.

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Journal:  Front Mol Biosci       Date:  2022-01-27

6.  Allosteric Determinants of the SARS-CoV-2 Spike Protein Binding with Nanobodies: Examining Mechanisms of Mutational Escape and Sensitivity of the Omicron Variant.

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8.  Structure-Based Discovery of Novel Nonpeptide Inhibitors Targeting SARS-CoV-2 Mpro.

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9.  Computational Saturation Mutagenesis of SARS-CoV-1 Spike Glycoprotein: Stability, Binding Affinity, and Comparison With SARS-CoV-2.

Authors:  Adebiyi Sobitan; Vidhyanand Mahase; Raina Rhoades; Dejaun Williams; Dongxiao Liu; Yixin Xie; Lin Li; Qiyi Tang; Shaolei Teng
Journal:  Front Mol Biosci       Date:  2021-12-09

Review 10.  Structural and Computational Studies of the SARS-CoV-2 Spike Protein Binding Mechanisms with Nanobodies: From Structure and Dynamics to Avidity-Driven Nanobody Engineering.

Authors:  Gennady Verkhivker
Journal:  Int J Mol Sci       Date:  2022-03-08       Impact factor: 5.923

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