Evidence map›Paper›PMID 27051512›Full record

ReviewInterface focus2016

Mathematics in modern immunology.

Mario Castro, Grant Lythe, Carmen Molina-París, Ruy M Ribeiro

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Interface focus, 2016. 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
–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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

4 authors.

Mario CastroUniversidad Pontificia Comillas , E28015 Madrid , Spain.
Grant LytheDepartment of Applied Mathematics, School of Mathematics , University of Leeds , Leeds LS2 9JT , UK.
Carmen Molina-ParísDepartment of Applied Mathematics, School of Mathematics , University of Leeds , Leeds LS2 9JT , UK.
Ruy M RibeiroLos Alamos National Laboratory , Theoretical Biology and Biophysics , Los Alamos, NM 87545 , USA.

Funding

Quantifying Immune VS. Viral Killing of SIV Infected and Latently Infected CellsR01AI104373 · NIAID · LOS ALAMOS NAT SECTY-LOS ALAMOS NAT LAB · PI RIBEIRO, RUY M · 2013 to 2016
$2.7M
Biotechnology and Biological Sciences Research Council BB/F003811/1Biotechnology and Biological Sciences Research Council BB/G023395/1NIAID NIH HHS R01 AI104373
6 · The paper itself

Abstract

Mathematical and statistical methods enable multidisciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. We collect a representative sample of studies in T-cell biology that illustrate the benefits of modelling-experimental collaborations and that have proven valuable or even groundbreaking. We conclude that it is possible to find excellent examples of synergy between mathematical modelling and experiment in immunology, which have brought significant insight that would not be available without these collaborations, but that much remains to be discovered.

Indexed as

diversityimmunologymathematical modellingT cellT-cell receptortwo-photon microscopy

Identifiers

PMID27051512
PMCPMC4759751

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.