Evidence map›Paper›PMID 38614450›Full record

ReviewBiochimica et biophysica acta. Gene regulatory mechanisms2024

Illuminating ligand-induced dynamics in nuclear receptors through MD simulations.

Tracy Yu, Nishanti Sudhakar, C Denise Okafor

Open access · hybridAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Gene regulatory mechanisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Identification of novel HIF2α inhibitors: a structure-based virtual screening approach.Journal of enzyme inhibition and medicinal chemistry · 2026
    Article
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  9. Impact of Replicas and Simulation Length on In Silico Behaviors of a Protein Domain.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025
    Article
  10. Review
  11. Coordinated subdomain movements of MlaC regulate ligand binding and transport.Computational and structural biotechnology journal · 2025
    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

3 authors at 1 institution in 1 country.

Tracy YuDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA.
Nishanti SudhakarDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA.
C Denise OkaforDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA; Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA. Electronic address: cdo5093@psu.edu.
Pennsylvania State University · US

Funding

Improving drug design to eliminate side effects: From computational to animal modelsDP2GM149753 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI OKAFOR, C. DENISE · 2022 to 2025
$2.3M
NIGMS NIH HHS DP2 GM149753
6 · The paper itself

Abstract

Nuclear receptors (NRs) regulate gene expression in critical physiological processes, with their functionality finely tuned by ligand-induced conformational changes. While NRs may sometimes undergo significant conformational motions in response to ligand-binding, these effects are more commonly subtle and challenging to study by traditional structural or biophysical methods. Molecular dynamics (MD) simulations are a powerful tool to bridge the gap between static protein-ligand structures and dynamical changes that govern NR function. Here, we summarize a handful of recent studies that apply MD simulations to study NRs. We present diverse methodologies for analyzing simulation data with a detailed examination of the information each method can yield. By delving into the strengths, limitations and unique contributions of these tools, this review provides guidance for extracting meaningful data from MD simulations to advance the goal of understanding the intricate mechanisms by which ligands orchestrate a range of functional outcomes in NRs.

Indexed as

Molecular Dynamics SimulationReceptors, Cytoplasmic and NuclearHumansLigandsProtein BindingProtein ConformationLigandsReceptors, Cytoplasmic and Nuclearallosteryconformational dynamicsGene expressionMolecular dynamics simulationsNuclear receptorsTranscription factors

Identifiers

PMID38614450
PMCPMC12389263
OpenAlexW4394796301

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.