Evidence map›Paper›PMID 35900600›Full record

ArticleJournal of molecular modeling2022

Computational insights on molecular interactions of acifran with GPR109A and GPR109B.

Kiran Kumar Adepu, Sangita Kachhap, Dipendra Bhandari, Andriy Anishkin, Sree V Chintapalli

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

5 authors at 3 institutions in 2 countries.

Kiran Kumar Adepu *Arkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR, 72202, USA.
Sangita Kachhap *Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences, 30-239, Krakow, Poland.
Dipendra BhandariArkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR, 72202, USA.
Andriy AnishkinDepartment of Biology, University of Maryland, College Park, USA.
Sree V ChintapalliArkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR, 72202, USA. svchintapalli@uams.edu.ORCID http://orcid.org/0000-0001-8457-9643
Arkansas Children's Nutrition Center · USJerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences · PLUniversity of Maryland, College Park · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acifran is a well-known agonist of G-protein-coupled receptor protein, namely GPR109A. Acifran is primarily used in the treatment of dyslipidemia, myocardial infractions, and atherosclerosis in humans due to its lower vascular and metabolic side effects. However, experimental and computational studies on interaction sites of acifran with GPR proteins (GPR109A and GPR109B) are lacking. Our computational studies using docking and molecular dynamics simulation revealed that acifran binds distinctly to both GPR109A and GPR109B, but with lower affinity to the latter. The weak binding of acifran-GPR109B is mainly due to the presence of residues S91 and N94 in ECL1 and I178 amino acid in ECL2 region of GPR109B, whereas R111 and R251 residues in TMH3 and TMH6 are crucial for GPR109A-acifran complex stability. Additionally, molecular mechanics/Poisson-Boltzmann solvent accessible surface area (MM/PBSA) analysis revealed that both GPR109A- and GPR109B-acifran complexes are energetically stable with lower calculated binding free energy values for the latter. Energy-minimized structures of GPR109A-acifran and GPR109B-acifran complex.

Indexed as

FuransReceptors, G-Protein-CoupledHumansMolecular Dynamics SimulationacifranFuransReceptors, G-Protein-CoupledAcifranG-Protein-Coupled ReceptorMolecular dynamics simulationsMolecular mechanics/Poisson-Boltzmann surface area

Identifiers

PMID35900600
OpenAlexW4288096491

What OpenQuestion holds

Textmetadata
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.