Evidence map›Paper›PMID 36222137›Full record

ArticleJournal of biosciences2022

Structural and functional implications of leucine-rich repeats in toll-like receptor1 subfamily.

Debayan Dey, Dipanjana Dhar, Sucharita DAS, Aditi Maulik, Soumalee Basu

Open access · greenAbstract read
PubMed
In one paragraph

Article in Journal of biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Debayan DeyDepartment of Microbiology, University of Calcutta, Kolkata, India.
Dipanjana Dhar
Sucharita DAS
Aditi Maulik
Soumalee Basu
University of Calcutta · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leucine-rich repeats (LRRs) - the protein-protein and protein-ligand interaction motif of proteins participating in a plethora of functions in plants, vertebrates, invertebrates, and prokaryotes - are a fascinating piece of conserved yet versatile structural motif. In toll-like receptors (TLRs), this domain forms the extracellular part that is preceded by an intracellular toll/interleukin-1 receptor (TIR) domain. The extracellular part is crucial for recognizing a structurally diverse set of viral, bacterial, fungal, and parasite-derived components, while the TIR domain is recruited for activation of downstream signaling following recognition. The distinct ability of the paralogs TLR1 and TLR6 to dimerize with TLR2 and recognize different ligands intrigued and motivated us to exchange the dimerizing and ligand-binding residues between TLR1/6 and note the effect on dimer formation and ligand binding. The appreciable sequence modification brought about no significant alteration in the native scaffold of the motif, as revealed from the comparison of simulations with wild-type dimers. Moreover, docking of the exchanged ligands to the variant proteins supported favorable binding. Thus, the structural stability and the functional plasticity offered by the motif might be the reason for its extensive use across cellular functions and life forms, a feature crucial for coevolution and the knowledge essential for therapeutics.

Indexed as

Toll-Like Receptor 1Toll-Like Receptor 6AnimalsLeucineLigandsReceptors, Interleukin-1Toll-Like Receptor 2Toll-Like ReceptorsLeucineLigandsReceptors, Interleukin-1Toll-Like Receptor 1Toll-Like Receptor 2Toll-Like Receptor 6Toll-Like Receptors

Identifiers

PMID36222137
OpenAlexW4295989462

What OpenQuestion holds

Textmetadata
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.