Evidence map›Paper›PMID 33444377›Full record

ArticlePloS one2021

Insights into structure and dynamics of extracellular domain of Toll-like receptor 5 in Cirrhinus mrigala (mrigala): A molecular dynamics simulation approach.

Ajaya Kumar Rout, Varsha Acharya, Diptimayee Maharana, Budheswar Dehury, Sheela Rani Udgata, Rajkumar Jena, Bhaskar Behera, Pranaya Kumar Parida, Bijay Kumar Behera

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. AttenuatedFrontiers in microbiology · 2022
    Article
  10. Article
  11. Article
  12. Evaluation and Designing of Epitopic-Peptide Vaccine AgainstInternational journal of peptide research and therapeutics · 2022
    Article
  13. Pattern recognition receptors in health and diseases.Signal transduction and targeted therapy · 2021
    Review
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

9 authors at 4 institutions in 2 countries.

Ajaya Kumar RoutAquatic Environmental Biotechnology & Nanotechnology (AEBN) Division, ICAR-Central Inland Fisheries Research Institute, Kolkata, West Bengal, India.
Varsha AcharyaAquatic Environmental Biotechnology & Nanotechnology (AEBN) Division, ICAR-Central Inland Fisheries Research Institute, Kolkata, West Bengal, India.
Diptimayee MaharanaAquatic Environmental Biotechnology & Nanotechnology (AEBN) Division, ICAR-Central Inland Fisheries Research Institute, Kolkata, West Bengal, India.
Budheswar DehuryDepartment of Chemistry, Technical University of Denmark, Kongens Lyngby, Denmark.
Sheela Rani UdgataDepartment of Bioinformatics, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha, India.
Rajkumar JenaDepartment of Biosciences and Biotechnology, Fakir Mohan University, Balasore, Odisha, India.
Bhaskar BeheraDepartment of Biosciences and Biotechnology, Fakir Mohan University, Balasore, Odisha, India.
Pranaya Kumar ParidaAquatic Environmental Biotechnology & Nanotechnology (AEBN) Division, ICAR-Central Inland Fisheries Research Institute, Kolkata, West Bengal, India.
Bijay Kumar BeheraAquatic Environmental Biotechnology & Nanotechnology (AEBN) Division, ICAR-Central Inland Fisheries Research Institute, Kolkata, West Bengal, India.ORCID 0000-0003-4960-9768
Fakir Mohan University · INCentral Inland Fisheries Research Institute · INOdisha University of Agriculture and Technology · INTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The toll-like receptor 5 (TLR5) is the most conserved important pattern recognition receptors (PRRs) often stimulated by bacterial flagellins and plays a major role in the first-line defense against invading pathogenic bacteria and in immune homeostasis. Experimental crystallographic studies have shown that the extracellular domain (ECD) of TLR5 recognizes flagellin of bacteria and functions as a homodimer in model organism zebrafish. However, no structural information is available on TLR5 functionality in the major carp Cirrhinus mrigala (mrigala) and its interaction with bacterial flagellins. Therefore, the present study was undertaken to unravel the structural basis of TLR5-flagellin recognition in mrigala using structural homodimeric TLR5-flagellin complex of zebrafish as reference. Integrative structural modeling and molecular dynamics simulations were employed to explore the structural and mechanistic details of TLR5 recognition. Results from structural snapshots of MD simulation revealed that TLR5 consistently formed close interactions with the three helices of the D1 domain in flagellin on its lateral side mediated by several conserved amino acids. Results from the intermolecular contact analysis perfectly substantiate with the findings of per residue-free energy decomposition analysis. The differential recognition mediated by flagellin to TLR5 in mrigala involves charged residues at the interface of binding as compared to the zebrafish complex. Overall our results shows TLR5 of mrigala involved in innate immunity specifically recognized a conserved site on flagellin which advocates the scientific community to explore host-specific differences in receptor activation.

Indexed as

Amino Acid SequenceAnimalsCarpsFish ProteinsFlagellinMolecular Dynamics SimulationProtein BindingProtein DomainsSalmonellaToll-Like Receptor 5ZebrafishFish ProteinsFlagellinToll-Like Receptor 5

Identifiers

PMID33444377
PMCPMC7808660
OpenAlexW3119184708

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.