Evidence map›Paper›PMID 21744829›Full record

ArticleJournal of the American Chemical Society2011

Molecular dynamics simulation directed rational design of inhibitors targeting drug-resistant mutants of influenza A virus M2.

Jun Wang, Chunlong Ma, Giacomo Fiorin, Vincenzo Carnevale, Tuo Wang, Fanghao Hu, Robert A Lamb, Lawrence H Pinto, Mei Hong, Michael L Klein and 1 more

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
9.8field-weighted citation impact, top 1% 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

76 citing papers in PubMed, 140 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Enthalpic Classification of Water Molecules in Target-Ligand Binding.Journal of chemical information and modeling · 2024
    Article
  7. Antiviral Approaches against Influenza Virus.Clinical microbiology reviews · 2023
    Review
  8. Implementation of Telescoping Boxes in Adaptive Steered Molecular Dynamics.Journal of chemical theory and computation · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Discovery of M2 channel blockers targeting the drug-resistant double mutants M2-S31N/L26I and M2-S31N/V27A from the influenza A viruses.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2020
    Article
  18. Article
  19. Review
  20. Water in protein hydration and ligand recognition.Journal of molecular recognition : JMR · 2019
    Review

16 more citing papers are in PubMed but not listed here.

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

11 authors at 3 institutions in 1 country.

Jun WangDepartment of Chemistry, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6059, United States.
Chunlong Ma
Giacomo Fiorin
Vincenzo Carnevale
Tuo Wang
Fanghao Hu
Robert A Lamb
Lawrence H Pinto
Mei Hong
Michael L Klein
William F DeGrado
Iowa State University · USNorthwestern University · USTemple University · US

Funding

Development of drugs that target the M2 proton channel from the influenza A VirusU01AI074571 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI DEGRADO, WILLIAM · 2008 to 2012
$7.5M
Structures and Dynamics of Proton and Cation-Dependent Channels and TransportersR01GM088204 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HONG, MEI · 2009 to 2024
$4.8M
Structure of M2 Proton Channel from Influenza A VirusR01GM056423 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI DEGRADO, WILLIAM · 1997 to 2016
$4.5M
The Structure and Function of the Influenza Virus GenomeR01AI020201 · NIAID · NORTHWESTERN UNIVERSITY · PI LAMB, ROBERT A · 1985 to 2016
$2.8M
NIAID NIH HHS AI74571NIAID NIH HHS R01 AI020201NIAID NIH HHS U01 AI074571NIGMS NIH HHS GM088204NIGMS NIH HHS GM56423NIGMS NIH HHS R01 GM056423NIGMS NIH HHS R01 GM088204
6 · The paper itself

Abstract

Influenza A virus M2 (A/M2) forms a homotetrameric proton selective channel in the viral membrane. It has been the drug target of antiviral drugs such as amantadine and rimantadine. However, most of the current virulent influenza A viruses carry drug-resistant mutations alongside the drug binding site, such as S31N, V27A, and L26F, etc., each of which might be dominant in a given flu season. Among these mutations, the V27A mutation was prevalent among transmissible viruses under drug selection pressure. Until now, V27A has not been successfully targeted by small molecule inhibitors, despite years of extensive medicinal chemistry research efforts and high throughput screening. Guided by molecular dynamics (MD) simulation of drug binding and the influence of drug binding on the dynamics of A/M2 from earlier experimental studies, we designed a series of potent spirane amine inhibitors targeting not only WT, but also both A/M2-27A and L26F mutants with IC(50)s similar to that seen for amantadine's inhibition of the WT channel. The potencies of these inhibitors were further demonstrated in experimental binding and plaque reduction assays. These results demonstrate the power of MD simulations to probe the mechanism of drug binding as well as the ability to guide design of inhibitors of targets that had previously appeared to be undruggable.

Indexed as

Drug Resistance, ViralAntiviral AgentsDrug DesignHumansInfluenza A virusInfluenza, HumanMolecular Dynamics SimulationViral Matrix ProteinsViral Plaque AssayViroporin ProteinsAntiviral AgentsM2 protein, Influenza A virusViral Matrix ProteinsViroporin Proteins

Identifiers

PMID21744829
PMCPMC3354620
OpenAlexW2061027258

What OpenQuestion holds

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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.