Evidence map›Paper›PMID 20722763›Full record

ReviewImmunology2010

Immunoinformatics: an integrated scenario.

Namrata Tomar, Rajat K De

Abstract readReview
In one paragraph

Review in Immunology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Evaluation of the Antigenic Potential of Epitopes Derived FromBioinformatics and biology insights · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Immunoinformatics Protocol to Design Multi-Epitope Subunit Vaccines.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Experimental Study of Potential CD8BioMed research international · 2022
    Article
  17. VirVACPRED: A Web Server for Prediction of Protective Viral Antigens.International journal of peptide research and therapeutics · 2022
    Article
  18. In-Silico Vaccine Design Based on a Novel Vaccine Candidate Against Infections Caused byInternational journal of peptide research and therapeutics · 2022
    Article
  19. Mechanisms of Immunotoxicity: Stressors and Evaluators.International journal of molecular sciences · 2021
    Review
  20. 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

2 authors.

Namrata TomarMachine Intelligence Unit, Indian Statistical Institute, Kolkata, India.
Rajat K De

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome sequencing of humans and other organisms has led to the accumulation of huge amounts of data, which include immunologically relevant data. A large volume of clinical data has been deposited in several immunological databases and as a result immunoinformatics has emerged as an important field which acts as an intersection between experimental immunology and computational approaches. It not only helps in dealing with the huge amount of data but also plays a role in defining new hypotheses related to immune responses. This article reviews classical immunology, different databases and prediction tools. It also describes applications of immunoinformatics in designing in silico vaccination and immune system modelling. All these efforts save time and reduce cost.

Indexed as

Allergy and ImmunologyAnimalsComputational BiologyDatabases, FactualHumansInternet

Identifiers

PMID20722763
PMCPMC2967261

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.