Evidence map›Paper›PMID 36305581›Full record

ArticleeLife2022

Computational model of the full-length TSH receptor.

Mihaly Mezei, Rauf Latif, Terry F Davies

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. TSH enhances neurite outgrowth.Frontiers in endocrinology · 2024
    Article
  6. Article
  7. 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

3 authors at 2 institutions in 1 country.

Mihaly MezeiDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0003-0294-4307
Rauf LatifDepartment of Medicine, Thyroid Research Unit, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0002-4226-3728
Terry F DaviesDepartment of Medicine, Thyroid Research Unit, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0003-3909-2750
James J. Peters VA Medical Center · USIcahn School of Medicine at Mount Sinai · US

Funding

Small Molecules and Antibodies Interacting at the TSH ReceptorR01DK069713 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DAVIES, TERRY FRANCIS · 2006 to 2019
$5.6M
TSH RECEPTOR MULTIMERIZATIONI01BX000800 · VA · JAMES J PETERS VA MEDICAL CENTER · PI DAVIES, TERRY FRANCIS · 2011 to 2025
–
BLRD VA I01 BX000800NIDDK NIH HHS R01 DK069713
6 · The paper itself

Abstract

(GPCR)The receptor for TSH receptor (TSHR), a G protein coupled receptor (GPCR), is of particular interest as the primary antigen in autoimmune hyperthyroidism (Graves' disease) caused by stimulating TSHR antibodies. To date, only one domain of the extracellular region of the TSHR has been crystallized. We have run a 1000 ns molecular dynamic simulation on a model of the entire TSHR generated by merging the extracellular region of the receptor, obtained using artificial intelligence, with our recent homology model of the transmembrane domain, embedded it in a lipid membrane and solvated it with water and counterions. The simulations showed that the structure of the transmembrane and leucine-rich domains were remarkably constant while the linker region (LR), known more commonly as the 'hinge region,' showed significant flexibility, forming several transient secondary structural elements. Furthermore, the relative orientation of the leucine-rich domain with the rest of the receptor was also seen to be variable. These data suggest that this LR is an intrinsically disordered protein. Furthermore, preliminary data simulating the full TSHR model complexed with its ligand (TSH) showed that (a) there is a strong affinity between the LR and TSH ligand and (b) the association of the LR and the TSH ligand reduces the structural fluctuations in the LR. This full-length model illustrates the importance of the LR in responding to ligand binding and lays the foundation for studies of pathologic TSHR autoantibodies complexed with the TSHR to give further insight into their interaction with the flexible LR.

Indexed as

Artificial IntelligenceReceptors, ThyrotropinAutoantibodiesLeucineLigandsReceptors, G-Protein-CoupledThyrotropinAutoantibodiesLeucineLigandsReceptors, G-Protein-CoupledReceptors, ThyrotropinThyrotropinhinge regionhumanlinker regionmolecular biophysicsmolecular dynamicsstructural biologytransmembrane domainTSHTSHR

Identifiers

PMID36305581
PMCPMC9640187
OpenAlexW4307462464

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.