Evidence map›Paper›PMID 23838839›Full record

ArticleJournal of computer-aided molecular design2013

Computational identification of epitopes in the glycoproteins of novel bunyavirus (SFTS virus) recognized by a human monoclonal antibody (MAb 4-5).

Wenshuai Zhang, Xiaoyan Zeng, Li Zhang, Haiyan Peng, Yongjun Jiao, Jun Zeng, Herbert R Treutlein

Abstract read
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In one paragraph

Article in Journal of computer-aided molecular design, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Wenshuai ZhangKey Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Prevention and Control, Institute of Pathogenic Microbiology, Ministry Health, Nanjing 210009, China.
Xiaoyan Zeng
Li Zhang
Haiyan Peng
Yongjun Jiao
Jun Zeng
Herbert R Treutlein
Jiangsu Provincial Center for Disease Control and Prevention · CNMedical Developments International (Australia) · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we have developed a new approach to predict the epitopes of antigens that are recognized by a specific antibody. Our method is based on the "multiple copy simultaneous search" (MCSS) approach which identifies optimal locations of small chemical functional groups on the surfaces of the antibody, and identifying sequence patterns of peptides that can bind to the surface of the antibody. The identified sequence patterns are then used to search the amino-acid sequence of the antigen protein. The approach was validated by reproducing the binding epitope of HIV gp120 envelop glycoprotein for the human neutralizing antibody as revealed in the available crystal structure. Our method was then applied to predict the epitopes of two glycoproteins of a newly discovered bunyavirus recognized by an antibody named MAb 4-5. These predicted epitopes can be verified by experimental methods. We also discuss the involvement of different amino acids in the antigen-antibody recognition based on the distributions of MCSS minima of different functional groups.

Indexed as

Amino Acid SequenceAntibodies, MonoclonalEpitopesGlycoproteinsHIV-1HIV Envelope Protein gp120HumansOrthobunyavirusAntibodies, MonoclonalEpitopesGlycoproteinsHIV Envelope Protein gp120

Identifiers

PMID23838839
OpenAlexW2012139017

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.