Evidence map›Paper›PMID 35215781›Full record

ArticleViruses2022

Structure Based Affinity Maturation and Characterizing of SARS-CoV Antibody CR3022 against SARS-CoV-2 by Computational and Experimental Approaches.

Wei Yu, Nan Zhong, Xin Li, Jiayi Ren, Yueming Wang, Chengming Li, Gui Yao, Rui Zhu, Xiaoli Wang, Zhenxing Jia and 6 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. AI-Guided Binding Mechanisms and Molecular Dynamics for MERS-CoV.International journal of molecular sciences · 2026
    Article
  3. Article
  4. Review
  5. Unlocking the potential ofFrontiers in bioinformatics · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 1 country.

Wei YuInstitute of Biomedicine, Jinan University, Guangzhou 510632, China.
Nan ZhongInstitute of Biomedicine, Jinan University, Guangzhou 510632, China.
Xin LiInstitute of Biomedicine, Jinan University, Guangzhou 510632, China.
Jiayi RenInstitute of Biomedicine, Jinan University, Guangzhou 510632, China.
Yueming WangInstitute of Biomedicine, Jinan University, Guangzhou 510632, China.
Chengming LiInstitute of Biomedicine, Jinan University, Guangzhou 510632, China.
Gui YaoAnhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental Remediation, College of Life Sciences, Huaibei Normal University, Huaibei 235000, China.
Rui ZhuAnhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental Remediation, College of Life Sciences, Huaibei Normal University, Huaibei 235000, China.
Xiaoli WangZhuhai Trinomab Biotechnology Co., Ltd., Zhuhai 519040, China.
Zhenxing JiaZhuhai Trinomab Biotechnology Co., Ltd., Zhuhai 519040, China.
Changwen WuZhuhai Trinomab Biotechnology Co., Ltd., Zhuhai 519040, China.
Rongfeng ChenZhuhai Trinomab Biotechnology Co., Ltd., Zhuhai 519040, China.
Weihong ZhengZhuhai Trinomab Biotechnology Co., Ltd., Zhuhai 519040, China.
Huaxin LiaoInstitute of Biomedicine, Jinan University, Guangzhou 510632, China.
Xiaomin WuAnhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental Remediation, College of Life Sciences, Huaibei Normal University, Huaibei 235000, China.
Xiaohui YuanInstitute of Biomedicine, Jinan University, Guangzhou 510632, China.ORCID 0000-0002-2082-2146
Jinan University · CNHuaibei Normal University · CN

Funding

Anhui Outstanding Youth Fund Overseas Visiting Program of Outstanding Young Talents Program (gxgwfx2020035)(X.W.)National Key Research and Development Plan (2021YFC2103003) (X.Y.)National Natural Science Foundation of China (31970456 and 31500594)(X.W.)Natural Science Fund of Education Department of Anhui Province, China (KJ2020A036)(X.W.)Zhuhai Innovative and Entrepreneurial Research Team Program ZH01110405180040PWC and 2120004000202 (H.L.)
6 · The paper itself

Abstract

The COVID-19 epidemic is raging around the world. Neutralizing antibodies are powerful tools for the prevention and treatment of SARS-CoV-2 infection. Antibody CR3022, a SARS-CoV neutralizing antibody, was found to cross-react with SARS-CoV-2, but its affinity was lower than that of its binding with SARS-CoV, which greatly limited the further development of CR3022 against SARS-CoV-2. Therefore, it is necessary to improve its affinity to SARS-CoV-2 in vitro. In this study, the structure-based molecular simulations were utilized to virtually mutate the possible key residues in the complementarity-determining regions (CDRs) of the CR3022 antibody. According to the criteria of mutation energy, the mutation sites that have the potential to impact the antibody affinity were then selected. Then optimized CR3022 mutants with the enhanced affinity were further identified and verified by enzyme-linked immunosorbent assay (ELISA), surface plasma resonance (SPR) and autoimmune reactivity experiments. Finally, molecular dynamics (MD) simulation and binding free energy calculation (MM/PBSA) were performed on the wild-type CR3022 and its two double-site mutants to understand in more detail the contribution of these sites to the higher affinity. It was found that the binding affinity of the CR3022 antibody could be significantly enhanced more than ten times after the introduction of the S103F/Y mutation in HCDR-3 and the S33R mutation in LCDR-1. The additional hydrogen-bonding, hydrophobic interactions, as well as salt-bridges formed between the modified double-site mutated antibody and SARS-CoV-2 RBD were identified. The computational and experimental results clearly demonstrated that the affinity of the modified antibody has been greatly enhanced. This study indicates that CR3022 as a neutralizing antibody recognizing the conserved region of RBD against SARS-CoV with cross-reactivity with SARS-CoV-2, a different member in a large family of coronaviruses, could be improved by the computational and experimental approaches which provided insights for developing antibody drugs against SARS-CoV-2.

Indexed as

Antibody AffinityMolecular Dynamics SimulationAntibodies, MonoclonalAntibodies, NeutralizingCross ReactionsProtein BindingSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, MonoclonalAntibodies, NeutralizingCR3022Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19CR3022molecular dynamics (MD) simulationreceptor-binding domain (RBD)SARS-CoV-2

Identifiers

PMID35215781
PMCPMC8875849
OpenAlexW4205927326

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.