Evidence map›Paper›PMID 30306175›Full record

ArticleOrganic & biomolecular chemistry2018

Sulfono-γ-AA modified peptides that inhibit HIV-1 fusion.

Olapeju Bolarinwa, Meng Zhang, Erin Mulry, Min Lu, Jianfeng Cai

Abstract read
In one paragraph

Article in Organic & biomolecular chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Acta pharmaceutica Sinica. B · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Structure-Guided Improvement of a Dual HPIV3/RSV Fusion Inhibitor.Journal of the American Chemical Society · 2020
    Article
  9. 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

5 authors at 2 institutions in 3 countries.

Olapeju BolarinwaDepartment of Chemistry, University of South Florida, 4202 East Fowler Avenue, Tampa, Florida 33620, USA. jianfengcai@usf.edu.
Meng Zhang
Erin Mulry
Min Lu
Jianfeng Cai
University of South Florida · USRutgers, The State University of New Jersey · US

Funding

Requesting HPLC for the project of "Alpha-AApeptides as a Novel Class of Antimicrobial Biomaterials"R01GM112652 · NIGMS · UNIVERSITY OF SOUTH FLORIDA · PI CAI, JIANFENG · 2015 to 2019
$1.5M
NIGMS NIH HHS R01 GM112652
6 · The paper itself

Abstract

The utilization of bioactive peptides in the development of highly selective and potent pharmacological agents for the disruption of protein-protein interactions is appealing for drug discovery. It is known that HIV-1 entry into a host cell is through a fusion process that is mediated by the trimeric viral glycoprotein gp120/41, which is derived from gp160 through proteolytic processing. Peptides derived from the HIV gp41 C-terminus have proven to be potent in inhibiting the fusion process. These peptides bind tightly to the hydrophobic pocket on the gp-41 N-terminus, which was previously identified as a potential inhibitor binding site. In this study, we introduce modified 23-residue C-peptides, 3 and 4, bearing a sulfono-γ-AA residue substitution and hydrocarbon stapling, respectively, which were developed for HIV-1 gp-41 N-terminus binding. Intriguingly, both 3 and 4 were capable of inhibiting envelope-mediated membrane fusion in cell-cell fusion assays at nanomolar potency. Our study reveals that sulfono-γ-AA modified peptides could be used for the development of more potent anti-HIV agents.

Indexed as

Amino Acid SequenceHIV-1HIV Envelope Protein gp41PeptidomimeticsVirus InternalizationHIV Envelope Protein gp41Peptidomimetics

Identifiers

PMID30306175
PMCPMC6209519
OpenAlexW2896915068

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.