Evidence map›Paper›PMID 24465243›Full record

ArticleGenomics & informatics2013

hpvPDB: An Online Proteome Reserve for Human Papillomavirus.

Satish Kumar, Lingaraja Jena, Sangeeta Daf, Kanchan Mohod, Peyush Goyal, Ashok K Varma

Open access · diamondAbstract read
In one paragraph

Article in Genomics & informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. HPVMD-C: a disease-based mutation database of human papillomavirus in China.Database : the journal of biological databases and curation · 2022
    Article
  2. Review
  3. Article
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

6 authors at 1 institution in 1 country.

Satish KumarBioinformatics Centre and Biochemistry, Mahatma Gandhi Institute of Medical Sciences, Sevagram 442-102, India.
Lingaraja JenaBioinformatics Centre and Biochemistry, Mahatma Gandhi Institute of Medical Sciences, Sevagram 442-102, India.
Sangeeta DafDatta Meghe Institute of Medical Sciences (Deemed University), Nagpur 440-022, India.
Kanchan MohodBioinformatics Centre and Biochemistry, Mahatma Gandhi Institute of Medical Sciences, Sevagram 442-102, India.
Peyush GoyalDepartment of Biotechnology, Ministry of Science and Technology, New Delhi 110-003, India.
Ashok K VarmaAdvanced Centre for Treatment, Research and Education in Cancer, Khargar 410-210, India.
Mahatma Gandhi Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human papillomavirus (HPV) infection is the leading cause of cancer mortality among women worldwide. The molecular understanding of HPV proteins has significant connotation for understanding their intrusion in the host and designing novel protein vaccines and anti-viral agents, etc. Genomic, proteomic, structural, and disease-related information on HPV is available on the web; yet, with trivial annotations and more so, it is not well customized for data analysis, host-pathogen interaction, strain-disease association, drug designing, and sequence analysis, etc. We attempted to design an online reserve with comprehensive information on HPV for the end users desiring the same. The Human Papillomavirus Proteome Database (hpvPDB) domiciles proteomic and genomic information on 150 HPV strains sequenced to date. Simultaneous easy expandability and retrieval of the strain-specific data, with a provision for sequence analysis and exploration potential of predicted structures, and easy access for curation and annotation through a range of search options at one platform are a few of its important features. Affluent information in this reserve could be of help for researchers involved in structural virology, cancer research, drug discovery, and vaccine design.

Indexed as

comparative modelingDNA probesgenomeHPVneoplasmsproteome

Identifiers

PMID24465243
PMCPMC3897859
OpenAlexW2162281920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.