Evidence map›Paper›PMID 31823723›Full record

ArticleBMC bioinformatics2019

Toward computational modelling on immune system function.

Francesco Pappalardo, Marzio Pennisi, Pedro A Reche, Giulia Russo

Abstract readEditorial
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Francesco PappalardoDepartment of Drug Science, University of Catania, V.le A. Doria 6, Catania, 95125, Italy. francesco.pappalardo@unict.it.
Marzio PennisiDepartment of Mathematics and Computer Science, University of Catania, V.le A. Doria 6, Catania, 95125, Italy.
Pedro A RecheUniversidad Complutense de Madrid, Facultad de Medicina,Departamento de Immunología, Plaza Ramón y Cajal, Madrid, 28040, Spain.
Giulia RussoDepartment of Drug Science, University of Catania, V.le A. Doria 6, Catania, 95125, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2nd Computational Methods for the Immune System function Workshop has been held in Madrid in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018) in Madrid, Spain, from December 3 to 6, 2018. The workshop has been obtained 100% more submissions in respect to the first edition, highlighting a growing interest for the treated topics. The best papers (9) have been selected for extension in this special issue, with themes about immune system and disease simulation, computer-aided design of novel candidate vaccines, methods for the analysis of immune system involved diseases based on statistical methods, meta-heuristics and game theory, and modelling strategies for improving the simulation of the immune system dynamics.

Indexed as

Computational BiologyComputer SimulationImmune SystemHumans

Identifiers

PMID31823723
PMCPMC6904989

What OpenQuestion holds

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LicenceCC BY
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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.