Evidence map›Paper›PMID 38600172›Full record

ArticleScientific reports2024

Mechanism of antagonist ligand binding to REV-ERBα.

Mohammad Homaidur Rahman, Lamees Hegazy

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

Mohammad Homaidur RahmanCenter for Clinical Pharmacology, Washington University School of Medicine, University of Health Sciences and Pharmacy, St. Louis, MO, USA.
Lamees HegazyCenter for Clinical Pharmacology, Washington University School of Medicine, University of Health Sciences and Pharmacy, St. Louis, MO, USA. lamees.hegazy@uhsp.edu.
University of Health Sciences and Pharmacy · USWashington University in St. Louis · US

Funding

Developing Chemical Probes for Inflammatory PainR01NS126204 · NINDS · WASHINGTON UNIVERSITY · PI Bahaa Elgendy, Kristine Griffett · 2022 to 2026
$2.5M
NINDS NIH HHS R01 NS126204NINDS NIH HHS R01NS126204
6 · The paper itself

Abstract

REV-ERBα, a therapeutically promising nuclear hormone receptor, plays a crucial role in regulating various physiological processes such as the circadian clock, inflammation, and metabolism. However, the availability of chemical probes to investigate the pharmacology of this receptor is limited, with SR8278 being the only identified synthetic antagonist. Moreover, no X-ray crystal structures are currently available that demonstrate the binding of REV-ERBα to antagonist ligands. This lack of structural information impedes the development of targeted therapeutics. To address this issue, we employed Gaussian accelerated molecular dynamics (GaMD) simulations to investigate the binding pathway of SR8278 to REV-ERBα. For comparison, we also used GaMD to observe the ligand binding process of STL1267, for which an X-ray structure is available. GaMD simulations successfully captured the binding of both ligands to the receptor's orthosteric site and predicted the ligand binding pathway and important amino acid residues involved in the antagonist SR8278 binding. This study highlights the effectiveness of GaMD in investigating protein-ligand interactions, particularly in the context of drug recognition for nuclear hormone receptors.

Indexed as

IsoquinolinesNuclear Receptor Subfamily 1, Group D, Member 1Circadian RhythmLigandsThiophenesIsoquinolinesLigandsNuclear Receptor Subfamily 1, Group D, Member 1SR 8278Thiophenes

Identifiers

PMID38600172
PMCPMC11006950
OpenAlexW4394679020

What OpenQuestion holds

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LicenceCC BY
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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.