Evidence map›Paper›PMID 30385820›Full record

ArticleScientific reports2018

Exploring the PXR ligand binding mechanism with advanced Molecular Dynamics methods.

Stefano Motta, Lara Callea, Sara Giani Tagliabue, Laura Bonati

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
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  5. Illuminating ligand-induced dynamics in nuclear receptors through MD simulations.Biochimica et biophysica acta. Gene regulatory mechanisms · 2024
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  16. PXR: a center of transcriptional regulation in cancer.Acta pharmaceutica Sinica. B · 2020
    Review
  17. 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

4 authors at 1 institution in 1 country.

Stefano MottaDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, Italy.ORCID http://orcid.org/0000-0002-0812-6834
Lara CalleaDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, Italy.ORCID http://orcid.org/0000-0003-0071-601X
Sara Giani TagliabueDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, Italy.ORCID http://orcid.org/0000-0002-2393-2527
Laura BonatiDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, Italy. laura.bonati@unimib.it.ORCID http://orcid.org/0000-0003-3028-0368
University of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Pregnane X Receptor (PXR) is a ligand-activated transcription factor belonging to the nuclear receptor family. PXR can bind diverse drugs and environmental toxicants with different binding modes, making it an intriguing target for drug discovery. Here we investigated the binding mechanism of the SR12813 ligand to elucidate the significant steps, from the ligand entrance pathway into the binding cavity, to the ligand-induced conformational changes, and to the exploration of its alternative binding geometries. We used the advanced Molecular Dynamics-based methods implemented in the BiKi suite and developed specific methodological approaches to overcome the complexity induced by the buried and flexible binding cavity. The adopted methods provided a full dynamic description of the binding event and allowed rationalization of the observed multiple binding modes. These results suggest that the same approach could be exploited for the study of other binding processes with similar characteristics.

Identifiers

PMID30385820
PMCPMC6212460
OpenAlexW2898514187

What OpenQuestion holds

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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.