Evidence map›Paper›PMID 36851915›Full record

ReviewComputational and structural biotechnology journal2023

Mathematical modeling of regulatory networks of intracellular processes - Aims and selected methods.

Malgorzata Kardynska, Daria Kogut, Marcin Pacholczyk, Jaroslaw Smieja

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Computational and structural biotechnology journal, 2023. 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. Review
  2. Review
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  5. Article
  6. Review
  7. Review
  8. Mathematical Modeling Support for Lung Cancer Therapy-A Short Review.International journal of molecular sciences · 2023
    Review
  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

4 authors.

Malgorzata KardynskaDept. of Biosensors and Processing of Biomedical Signals, Silesian University of Technology, Gliwice, Poland.
Daria KogutDept. of Biosensors and Processing of Biomedical Signals, Silesian University of Technology, Gliwice, Poland.
Marcin PacholczykDept. of Biosensors and Processing of Biomedical Signals, Silesian University of Technology, Gliwice, Poland.
Jaroslaw SmiejaDept. of Biosensors and Processing of Biomedical Signals, Silesian University of Technology, Gliwice, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulatory networks structure and signaling pathways dynamics are uncovered in time- and resource consuming experimental work. However, it is increasingly supported by modeling, analytical and computational techniques as well as discrete mathematics and artificial intelligence applied to to extract knowledge from existing databases. This review is focused on mathematical modeling used to analyze dynamics and robustness of these networks. This paper presents a review of selected modeling methods that facilitate advances in molecular biology.

Indexed as

ModelingRegulatory networksSignaling pathways

Identifiers

PMID36851915
PMCPMC9958294

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.