Evidence map›Paper›PMID 29106970›Full record

ArticleBiochimica et biophysica acta. Biomembranes2018

Functional studies reveal the similarities and differences between AM2 and BM2 proton channels from influenza viruses.

Chunlong Ma, Jun Wang

Abstract read
In one paragraph

Article in Biochimica et biophysica acta. Biomembranes, 2018. 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
–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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Activation of the influenza B M2 proton channel (BM2).bioRxiv : the preprint server for biology · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

2 authors.

Chunlong MaBIO5 Institute, The University of Arizona, Tucson, AZ 85721, United States.
Jun WangBIO5 Institute, The University of Arizona, Tucson, AZ 85721, United States; Department of Pharmacology and Toxicology, College of Pharmacy, The University of Arizona, Tucson, AZ 85721, United States. Electronic address: junwang@pharmacy.arizona.edu.

Funding

Drug Discovery Targeting the Influenza A Virus M2-S31N Proton ChannelR33AI119187 · NIAID · UNIVERSITY OF ARIZONA · PI PEREZ, DANIEL R, WANG, JUN · 2017 to 2019
$1.2M
NIAID NIH HHS R33 AI119187
6 · The paper itself

Abstract

AM2 and BM2 proton channels are attractive antiviral drug targets due to their essential roles during influenza virus replication. Although both AM2 and BM2 are proton-selective ion channels, they share little sequence similarity except for the HXXXW sequence, which suggests that their proton conductance properties might differ. To test this hypothesis, we applied two-electrode voltage clamp electrophysiological assays to study the specific conductance, leakage current, channel activation, and inhibition of AM2 and BM2 proton channels. It was found that BM2 channel has a higher specific conductance than AM2 channel at pH5.5. Unlike AM2 channel, whose proton conductance is asymmetric (from viral exterior to interior), BM2 channel is capable of conducting proton in both directions. Moreover, BM2 requires a more acidic pH for channel activation than AM2, as revealed by its lower pK

Indexed as

ProtonsAmino Acid SequenceAnimalsBiological TransportFemaleHydrogen-Ion ConcentrationInfluenza A virusIon ChannelsModels, MolecularMutationOocytesProtein ConformationSequence Homology, Nucleic AcidViral Matrix ProteinsXenopus laevisIon ChannelsProtonsViral Matrix ProteinsAM2BM2Influenza virusesIon selectivityProton channelTwo-electrode voltage clamp

Identifiers

PMID29106970
PMCPMC5732874

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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.