Evidence map›Paper›PMID 37285179›Full record

ReviewJournal of chemical information and modeling2023

Recent Advances in Studying Toll-like Receptors with the Use of Computational Methods.

Maria Bzówka, Weronika Bagrowska, Artur Góra

Abstract readReview
In one paragraph

Review in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Synthetic Toll-Like Receptors for Control of Innate Immunity With Far-Red Light.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  4. ProbioticVeterinary sciences · 2026
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  6. Molecular Cloning and Expression Responses toAnimals : an open access journal from MDPI · 2026
    Article
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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

3 authors.

Maria BzówkaTunneling Group, Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland.ORCID 0000-0001-6802-8753
Weronika BagrowskaTunneling Group, Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland.
Artur GóraTunneling Group, Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland.ORCID 0000-0003-2530-6957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll-like receptors (TLRs) are transmembrane proteins that recognize various molecular patterns and activate signaling that triggers the immune response. In this review, our goal is to summarize how, in recent years, various computational solutions have contributed to a better understanding of TLRs, regarding both their function and mechanism of action. We update the recent information about small-molecule modulators and expanded the topic toward next-generation vaccine design, as well as studies of the dynamic nature of TLRs. Also, we underline problems that remain unsolved.

Indexed as

Signal TransductionToll-Like ReceptorsToll-Like Receptorsimmune responsepattern recognition receptorsprotein−ligand interactionsprotein−protein interactions signalingsmall-molecule modulatorsToll-like receptorsvaccine design

Identifiers

PMID37285179
PMCPMC10302489

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.