Evidence map›Paper›PMID 28808284›Full record

ArticleScientific reports2017

Molecular Rationale behind the Differential Substrate Specificity of Bacterial RND Multi-Drug Transporters.

Venkata Krishnan Ramaswamy, Attilio V Vargiu, Giuliano Malloci, Jürg Dreier, Paolo Ruggerone

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
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

41 citing papers in PubMed.

  1. Article
  2. Article
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  4. Efflux-Mediated Resistance inAntibiotics (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Review
  7. Structural analysis of resistance-nodulation cell division transporters.Microbiology and molecular biology reviews : MMBR · 2024
    Review
  8. Review
  9. Deorphanizing solute carriers inFrontiers in microbiology · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
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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

5 authors.

Venkata Krishnan RamaswamyDepartment of Physics, University of Cagliari, Cittadella Universitaria, S.P. Monserrato-Sestu km 0.700, I-09042, Monserrato, CA, Italy.
Attilio V VargiuDepartment of Physics, University of Cagliari, Cittadella Universitaria, S.P. Monserrato-Sestu km 0.700, I-09042, Monserrato, CA, Italy.ORCID 0000-0003-4013-8867
Giuliano MallociDepartment of Physics, University of Cagliari, Cittadella Universitaria, S.P. Monserrato-Sestu km 0.700, I-09042, Monserrato, CA, Italy.
Jürg DreierBasilea Pharmaceutica International Ltd., Grenzacherstrasse 487, 4058, Basel, Switzerland.
Paolo RuggeroneDepartment of Physics, University of Cagliari, Cittadella Universitaria, S.P. Monserrato-Sestu km 0.700, I-09042, Monserrato, CA, Italy. paolo.ruggerone@dsf.unica.it.ORCID 0000-0003-0825-0824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance-Nodulation-cell Division (RND) transporters AcrB and AcrD of Escherichia coli expel a wide range of substrates out of the cell in conjunction with AcrA and TolC, contributing to the onset of bacterial multidrug resistance. Despite sharing an overall sequence identity of ~66% (similarity ~80%), these RND transporters feature distinct substrate specificity patterns whose underlying basis remains elusive. We performed exhaustive comparative analyses of the putative substrate binding pockets considering crystal structures, homology models and conformations extracted from multi-copy μs-long molecular dynamics simulations of both AcrB and AcrD. The impact of physicochemical and topographical properties (volume, shape, lipophilicity, electrostatic potential, hydration and distribution of multi-functional sites) within the pockets on their substrate specificities was quantitatively assessed. Differences in the lipophilic and electrostatic potentials among the pockets were identified. In particular, the deep pocket of AcrB showed the largest lipophilicity convincingly pointing out its possible role as a lipophilicity-based selectivity filter. Furthermore, we identified dynamic features (not inferable from sequence analysis or static structures) such as different flexibilities of specific protein loops that could potentially influence the substrate recognition and transport profile. Our findings can be valuable for drawing structure (dynamics)-activity relationship to be employed in drug design.

Indexed as

ATP-Binding Cassette, Sub-Family C ProteinsBacterial Outer Membrane ProteinsCell DivisionDrug DesignDrug Resistance, BacterialDrug Resistance, Multiple, BacterialEscherichia coliEscherichia coli ProteinsMembrane Transport ProteinsMolecular Dynamics SimulationProtein BindingProtein ConformationSubstrate SpecificityAcrB protein, E coliATP-Binding Cassette, Sub-Family C ProteinsBacterial Outer Membrane ProteinsEscherichia coli ProteinsMembrane Transport Proteins

Identifiers

PMID28808284
PMCPMC5556075

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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.