Evidence map›Paper›PMID 35348640›Full record

ArticleDatabase : the journal of biological databases and curation2022

HPVMD-C: a disease-based mutation database of human papillomavirus in China.

Zhenyu Yang, Wenjing Yi, Jin Tao, Xiaoqing Liu, Michael Q Zhang, Guiqian Chen, Qi Dai

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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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

24 citing papers in PubMed.

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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.

Zhenyu YangCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Wenjing YiCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Jin TaoCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Xiaoqing LiuCollege of Sciences, Hangzhou Dianzi University, Hangzhou 310018, China.
Michael Q ZhangDepartment of Biological Sciences, Center for Systems Biology, University of Texas at Dallas, Richardson, TX 75080, USA.ORCID 0000-0002-7022-6115
Guiqian ChenCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Qi DaiCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China.ORCID 0000-0003-2675-6511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human papillomavirus (HPV) can cause condyloma acuminatum and cervical cancer. Some mutations of these viruses are closely related to the persistent infection of cervical cancer and are ideal cancer vaccine targets. Several databases have been developed to collect HPV sequences, but no HPV mutation database has been published. This paper reports a Chinese HPV mutation database (HPVMD-C), which contains 149 HPV genotypes, 468 HPV mutations, 3409 protein sequences, 4727 domains and 236 epitopes. We analyzed the mutation distribution among HPV genotypes, domains and epitopes. We designed a visualization tool to display these mutations, domains and epitopes and provided more detailed information about the disease, region and related literature. We also proposed an HPV genotype prediction tool, which can predict HPV carcinogenic or non-carcinogenic risk genotypes. We expect that HPVMD-C will complement the existing database and provide valuable resources for HPV vaccine research and cervical cancer treatment. HPVMD-C is freely available at Database URL: http://bioinfo.zstu.edu.cn/hpv.

Indexed as

AlphapapillomavirusPapillomavirus InfectionsUterine Cervical NeoplasmsEpitopesFemaleGenotypeHumansMutationPapillomaviridaeEpitopes

Identifiers

PMID35348640
PMCPMC9216535

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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.