Evidence map›Paper›PMID 31544808›Full record

ArticleAntibodies (Basel, Switzerland)2018

Computational Prediction of the Epitopes of HA1 Protein of Influenza Viruses to its Neutralizing Antibodies.

Xiaoyan Zeng, Fiona S Legge, Chao Huang, Xiao Zhang, Yongjun Jiao, Herbert R Treutlein, Jun Zeng

Abstract read
In one paragraph

Article in Antibodies (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Xiaoyan ZengInstitute of Pathogenic Microbiology, Jiangsu Provincial Center for Disease Prevention and Control, Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Nanjing 210009, China. zengxiaoyan6164@sina.com.
Fiona S LeggeMedChemSoft Solutions, Level 3, 2 Brandon Park Drive, Wheelers Hill, VIC 3150, Australia. suelegge@gmail.com.
Chao HuangInstitute of Pathogenic Microbiology, Jiangsu Provincial Center for Disease Prevention and Control, Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Nanjing 210009, China. nestar1987@126.com.ORCID 0000-0002-4061-1573
Xiao ZhangKey Laboratory of Antibody Technique, Ministry Health, Nanjing 210029, China. zhangxiao@njmu.edu.cn.
Yongjun JiaoInstitute of Pathogenic Microbiology, Jiangsu Provincial Center for Disease Prevention and Control, Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Nanjing 210009, China. yongjunjiao@jscdc.cn.
Herbert R TreutleinSanoosa Pty Ltd., Level 30, 35 Collins Street, Melbourne, VIC 3000, Australia. herbertin@gmail.com.
Jun ZengMedChemSoft Solutions, Level 3, 2 Brandon Park Drive, Wheelers Hill, VIC 3150, Australia. Jun.Zeng@medchemsoft.com.

Funding

Jiangsu Province's Outstanding Medical Academic Leader Program RC2011082National Natural Science Foundation of China 31570926, 81202370
6 · The paper itself

Abstract

In this work, we have used a new method to predict the epitopes of HA1 protein of influenza virus to several antibodies HC19, CR9114, BH151 and 4F5. While our results reproduced the binding epitopes of H3N2 or H5N1 for the neutralizing antibodies HC19, CR9114, and BH151 as revealed from the available crystal structures, additional epitopes for these antibodies were also suggested. Moreover, the predicted epitopes of H5N1 HA1 for the newly developed antibody 4F5 are located at the receptor binding domain, while previous study identified a region 76-WLLGNP-81 as the epitope. The possibility of antibody recognition of influenza virus via different mechanism by binding to different epitopes of an antigen is also discussed.

Indexed as

antibodiescomputational chemistryepitope mappingmultiple copy simultaneous search

Identifiers

PMID31544808
PMCPMC6640696

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LicenceCC BY
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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.