Evidence map›Paper›PMID 29053759›Full record

ArticlePloS one2017

Molecular dynamic simulations reveal suboptimal binding of salbutamol in T164I variant of β2 adrenergic receptor.

Srinivas Bandaru, Mallika Alvala, Anuraj Nayarisseri, Saphy Sharda, Himshikha Goud, Hema Prasad Mundluru, Sanjeev Kumar Singh

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. 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
6.0field-weighted citation impact, top 3% 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, 40 citations in OpenAlex.

  1. Article
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  3. Receptor Pharmacogenomics: Deciphering Genetic Influence on Drug Response.International journal of molecular sciences · 2024
    Review
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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

7 authors at 3 institutions in 1 country.

Srinivas BandaruInstitute of Genetics and Hospital for Genetic Diseases, Osmania University, Hyderabad, India.
Mallika AlvalaMolecular Modeling Lab, Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research, Hyderabad, India.
Anuraj NayarisseriIn Silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India.
Saphy ShardaIn Silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India.
Himshikha GoudIn Silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India.
Hema Prasad MundluruInstitute of Genetics and Hospital for Genetic Diseases, Osmania University, Hyderabad, India.
Sanjeev Kumar SinghComputer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India.ORCID http://orcid.org/0000-0003-4153-6437
Alagappa University · INInstitute of Genetics and Hospital for Genetic Diseases · INNational Institute of Pharmaceutical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The natural variant C491T (rs1800088) in ADRB2 gene substitutes Threonine to Isoleucine at 164th position in β2AR and results in receptor sequestration and altered binding of agonists. Present investigation pursues to identify the effect of T164I variation on function and structure of β2AR through systematic computational approaches. The study, in addition, addresses altered binding of salbutamol in T164I variant through molecular dynamic simulations. Methods involving changes in free energy, solvent accessibility surface area, root mean square deviations and analysis of binding cavity revealed structural perturbations in receptor to incur upon T164I substitution. For comprehensive understanding of receptor upon substitution, OPLS force field aided molecular dynamic simulations were performed for 10 ns. Simulations revealed massive structural departure for T164I β2AR variant from the native state along with considerably higher root mean square fluctuations of residues near the cavity. Affinity prediction by molecular docking showed two folds reduced affinity of salbutamol in T164I variant. To validate the credibility docking results, simulations for ligand-receptor complex were performed which demonstrated unstable salbutamol-T164I β2AR complex formation. Further, analysis of interactions in course of simulations revealed reduced ligand-receptor interactions of salbutamol in T164I variant. Taken together, studies herein provide structural rationales for suboptimal binding of salbutamol in T164I variant through integrated molecular modeling approaches.

Indexed as

Adrenergic beta-2 Receptor AgonistsAlbuterolMolecular Dynamics SimulationProtein BindingReceptors, Adrenergic, beta-2Adrenergic beta-2 Receptor AgonistsAlbuterolReceptors, Adrenergic, beta-2

Identifiers

PMID29053759
PMCPMC5650161
OpenAlexW2765416944

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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.