Evidence map›Paper›PMID 21814503›Full record

ArticlePLoS computational biology2011

Understanding the origins of bacterial resistance to aminoglycosides through molecular dynamics mutational study of the ribosomal A-site.

Julia Romanowska, J Andrew McCammon, Joanna Trylska

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 30 citations in OpenAlex.

  1. Machines on Genes through the Computational Microscope.Journal of chemical theory and computation · 2023
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  6. Novel insights of structure-based modeling for RNA-targeted drug discovery.Journal of chemical information and modeling · 2012
    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 2 institutions in 2 countries.

Julia RomanowskaDepartment of Biophysics, Faculty of Physics, University of Warsaw, Warsaw Poland. jrom@icm.edu.pl
J Andrew McCammon
Joanna Trylska
University of Warsaw · PLCenter for Theoretical Biological Physics · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Paromomycin is an aminoglycosidic antibiotic that targets the RNA of the bacterial small ribosomal subunit. It binds in the A-site, which is one of the three tRNA binding sites, and affects translational fidelity by stabilizing two adenines (A1492 and A1493) in the flipped-out state. Experiments have shown that various mutations in the A-site result in bacterial resistance to aminoglycosides. In this study, we performed multiple molecular dynamics simulations of the mutated A-site RNA fragment in explicit solvent to analyze changes in the physicochemical features of the A-site that were introduced by substitutions of specific bases. The simulations were conducted for free RNA and in complex with paromomycin. We found that the specific mutations affect the shape and dynamics of the binding cleft as well as significantly alter its electrostatic properties. The most pronounced changes were observed in the U1406C∶U1495A mutant, where important hydrogen bonds between the RNA and paromomycin were disrupted. The present study aims to clarify the underlying physicochemical mechanisms of bacterial resistance to aminoglycosides due to target mutations.

Indexed as

Anti-Bacterial AgentsBacteriaBacterial ProteinsBinding SitesDrug Resistance, BacterialHydrogen BondingMolecular Dynamics SimulationMutationParomomycinProtein BindingRibosome Subunits, Small, BacterialRNA, Ribosomal, 16SAnti-Bacterial AgentsBacterial ProteinsParomomycinRNA, Ribosomal, 16S

Identifiers

PMID21814503
PMCPMC3140962
OpenAlexW2027528391

What OpenQuestion holds

Textmetadata
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.