Evidence map›Paper›PMID 32615639›Full record

ArticleImmunology2020

A behind-the-scenes tour of the IEDB curation process: an optimized process empirically integrating automation and human curation efforts.

Nima Salimi, Lindy Edwards, Gabriele Foos, Jason A Greenbaum, Sheridan Martini, Brian Reardon, Deborah Shackelford, Randi Vita, Leora Zalman, Bjoern Peters and 1 more

Abstract read
In one paragraph

Article in Immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Revised Adaptive Immune Receptor Data in the Immune Epitope Database.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Review
  4. Using the Cancer Epitope Database and Analysis Resource (CEDAR).Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. The Human Disease Ontology 2022 update.Nucleic acids research · 2022
    Article
  9. 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

11 authors.

Nima SalimiDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.ORCID 0000-0002-4522-9998
Lindy EdwardsDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.
Gabriele FoosDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.
Jason A GreenbaumDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.
Sheridan MartiniDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.
Brian ReardonDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.
Deborah ShackelfordDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.
Randi VitaDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.ORCID 0000-0001-8957-7612
Leora ZalmanDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.
Bjoern PetersDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.
Alessandro SetteDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.

Funding

IMMUNE EPITOPE AND ANALYSIS PROGRAM: Transplantation of organs, tissues and cells 75N93019C00001 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI WILSON, STEPHEN · 2019 to 2025
$23.1M
NIAID NIH HHS 75N93019C00001
6 · The paper itself

Abstract

The Immune Epitope Database and Analysis Resource (IEDB) provides the scientific community with open access to epitope data, as well as epitope prediction and analysis tools. The IEDB houses the most extensive collection of experimentally validated B-cell and T-cell epitope data, sourced primarily from published literature by expert curation. The data procurement requires systematic identification, categorization, curation and quality-checking processes. Here, we provide insights into these processes, with particular focus on the dividends they have paid in terms of attaining project milestones, as well as how objective analyses of our processes have identified opportunities for process optimization. These experiences are shared as a case study of the benefits of process implementation and review in biomedical big data, as well as to encourage idea-sharing among players in this ever-growing space.

Indexed as

Databases, ProteinAnimalsAutomationBiomedical ResearchB-LymphocytesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansInformation DisseminationT-LymphocytesEpitopes, B-LymphocyteEpitopes, T-LymphocyteB cellcurationdatabaseepitopeT cell

Identifiers

PMID32615639
PMCPMC7496777

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.