Evidence map›Paper›PMID 24705205›Full record

ArticleDatabase : the journal of biological databases and curation2014

HPVdb: a data mining system for knowledge discovery in human papillomavirus with applications in T cell immunology and vaccinology.

Guang Lan Zhang, Angelika B Riemer, Derin B Keskin, Lou Chitkushev, Ellis L Reinherz, Vladimir Brusic

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. HPVMD-C: a disease-based mutation database of human papillomavirus in China.Database : the journal of biological databases and curation · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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  11. 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

6 authors at 3 institutions in 3 countries.

Guang Lan ZhangCancer Vaccine Center, Dana-Farber Cancer Institute, 77 Ave Louis Pasteur, Boston, MA 02115, USA, Department of Computer Science, Metropolitan College, Boston University, 808 Commonwealth Ave, Boston, MA 02215, USA, Department of Medicine, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Angelika B Riemer
Derin B Keskin
Lou Chitkushev
Ellis L Reinherz
Vladimir Brusic
Harvard University Press · USBiology of Infection · FRHeidelberg University · DE

Funding

Crossprotective CTL Against InfluenzaU01AI090043 · NIAID · DANA-FARBER CANCER INST · PI REINHERZ, ELLIS L · 2010 to 2015
$6.4M
NIAID NIH HHS U01 AI090043
6 · The paper itself

Abstract

High-risk human papillomaviruses (HPVs) are the causes of many cancers, including cervical, anal, vulvar, vaginal, penile and oropharyngeal. To facilitate diagnosis, prognosis and characterization of these cancers, it is necessary to make full use of the immunological data on HPV available through publications, technical reports and databases. These data vary in granularity, quality and complexity. The extraction of knowledge from the vast amount of immunological data using data mining techniques remains a challenging task. To support integration of data and knowledge in virology and vaccinology, we developed a framework called KB-builder to streamline the development and deployment of web-accessible immunological knowledge systems. The framework consists of seven major functional modules, each facilitating a specific aspect of the knowledgebase construction process. Using KB-builder, we constructed the Human Papillomavirus T cell Antigen Database (HPVdb). It contains 2781 curated antigen entries of antigenic proteins derived from 18 genotypes of high-risk HPV and 18 genotypes of low-risk HPV. The HPVdb also catalogs 191 verified T cell epitopes and 45 verified human leukocyte antigen (HLA) ligands. Primary amino acid sequences of HPV antigens were collected and annotated from the UniProtKB. T cell epitopes and HLA ligands were collected from data mining of scientific literature and databases. The data were subject to extensive quality control (redundancy elimination, error detection and vocabulary consolidation). A set of computational tools for an in-depth analysis, such as sequence comparison using BLAST search, multiple alignments of antigens, classification of HPV types based on cancer risk, T cell epitope/HLA ligand visualization, T cell epitope/HLA ligand conservation analysis and sequence variability analysis, has been integrated within the HPVdb. Predicted Class I and Class II HLA binding peptides for 15 common HLA alleles are included in this database as putative targets. HPVdb is a knowledge-based system that integrates curated data and information with tailored analysis tools to facilitate data mining for HPV vaccinology and immunology. To our best knowledge, HPVdb is a unique data source providing a comprehensive list of HPV antigens and peptides. Database URL: http://cvc.dfci.harvard.edu/hpv/.

Indexed as

Databases, GeneticSoftwareVaccinationAmino Acid SequenceAntigens, ViralConserved SequenceDatabases, ProteinData MiningEpitopes, T-LymphocyteGenetic VariationHumansKnowledge BasesMolecular Sequence DataPapillomaviridaePapillomavirus VaccinesT-LymphocytesAntigens, ViralEpitopes, T-LymphocytePapillomavirus Vaccines

Identifiers

PMID24705205
PMCPMC3975992
OpenAlexW1989162387

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.