Evidence map›Paper›PMID 30987171›Full record

ArticleInternational journal of molecular sciences2019

A Molecular Dynamics Approach to Explore the Intramolecular Signal Transduction of PPAR-α.

Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Gwang Lee

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  7. Soyasapogenol C from Fermented Soybean (International journal of molecular sciences · 2022
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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.

Shaherin BasithDepartment of Physiology, Ajou University School of Medicine, Suwon 443-749, Korea. shaherinb@aumc.ac.kr.
Balachandran ManavalanDepartment of Physiology, Ajou University School of Medicine, Suwon 443-749, Korea. bala@ajou.ac.kr.
Tae Hwan ShinDepartment of Physiology, Ajou University School of Medicine, Suwon 443-749, Korea. catholicon@ajou.ac.kr.
Gwang LeeDepartment of Physiology, Ajou University School of Medicine, Suwon 443-749, Korea. glee@ajou.ac.kr.
Ajou University · KR

Funding

The Basic Science Research Program through the National Research Foundation (NRF) of Korea 2018R1D1A1B07049572
6 · The paper itself

Abstract

Dynamics and functions of the peroxisome proliferator-activated receptor (PPAR)-α are modulated by the types of ligands that bind to the orthosteric sites. While several X-ray crystal structures of PPAR-α have been determined in their agonist-bound forms, detailed structural information in their apo and antagonist-bound states are still lacking. To address these limitations, we apply unbiased molecular dynamics simulations to three different PPAR-α systems to determine their modulatory mechanisms. Herein, we performed hydrogen bond and essential dynamics analyses to identify the important residues involved in polar interactions and conformational structural variations, respectively. Furthermore, betweenness centrality network analysis was carried out to identify key residues for intramolecular signaling. The differences observed in the intramolecular signal flow between apo, agonist- and antagonist-bound forms of PPAR-α will be useful for calculating maps of information flow and identifying key residues crucial for signal transductions. The predictions derived from our analysis will be of great help to medicinal chemists in the design of effective PPAR-α modulators and additionally in understanding their regulation and signal transductions.

Indexed as

Molecular Dynamics SimulationSignal TransductionHydrogen BondingPPAR alphaPrincipal Component AnalysisThermodynamicsPPAR alphaagonistantagonistapobetweenness centralityhydrogen bondmolecular dynamicsnetwork theoryPPAR-α

Identifiers

PMID30987171
PMCPMC6479491
OpenAlexW2932979002

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.