Evidence map›Paper›PMID 22118679›Full record

ArticleChemistry & biology2011

Self-assembling peptide nanotubes with antiviral activity against hepatitis C virus.

Ana Montero, Pablo Gastaminza, Mansun Law, Guofeng Cheng, Francis V Chisari, M Reza Ghadiri

Abstract read
In one paragraph

Article in Chemistry & biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Applications of cyclic peptide nanotubes (cPNTs).Journal of food and drug analysis · 2019
    Review
  9. Article
  10. Article
  11. Nanoscale assemblies and their biomedical applications.Journal of the Royal Society, Interface · 2013
    Review
  12. Novel approaches to flavivirus drug discovery.Expert opinion on drug discovery · 2012
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ana MonteroDepartment of Chemistry, Scripps Research Institute, La Jolla, CA 92037, USA.
Pablo Gastaminza
Mansun Law
Guofeng Cheng
Francis V Chisari
M Reza Ghadiri

Funding

ORGANIC NANOTUBES DESIGN AND BIOLOGICAL APPLICATIONSR01GM052190 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI GHADIRI, M. REZA · 1995 to 2009
$3.7M
Innate Control of Hepatitis C Virus Infection: Antiviral and Evasion MechanismsR01AI079043 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI CHISARI, FRANCIS VINCENT · 2010 to 2014
$2.3M
NIAID NIH HHS R01 AI079043NIAID NIH HHS R01AI079043NIGMS NIH HHS R01 GM052190NIGMS NIH HHS R01GM52190
6 · The paper itself

Abstract

Hepatitis C virus (HCV) infects chronically 3% of the world population and the current therapy against this pathogen is only partially effective. With the aim of developing novel antiviral strategies against HCV, we screened a D,L-α-peptide library using an unbiased methodology based on a cell culture infection system for HCV. We found a family of highly active amphiphilic eight-residue cyclic D,L-α-peptides that specifically blocked entry of all tested HCV genotypes into target cells at a postbinding step without affecting infection by other enveloped RNA viruses. Structure-activity relationship studies indicate that antiviral activity was dependent on cyclic D,L-α-peptide self-assembly processes and that, although they possess a net neutral charge, they display a characteristic charge distribution. Our results indicate that supramolecular amphiphilic peptide structures constitute a class of highly selective HCV entry inhibitors.

Indexed as

Amino Acid SequenceAntiviral AgentsCell Line, TumorHepacivirusHumansNanotubes, PeptidePeptide LibraryRNA, ViralStructure-Activity RelationshipVirus ReplicationAntiviral AgentsNanotubes, PeptidePeptide LibraryRNA, Viral

Identifiers

PMID22118679
PMCPMC3225806

What OpenQuestion holds

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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.