Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 174

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Inhibiting HIV Fusion with a β-Peptide Foldamer

Open access
Stephens, Olen M., Kim, Sunghwan, Welch, Brett D., Hodsdon, Michael E., Kay, Michael S., Schepartz, Alanna·2005·Journal of the American Chemical Society

Abstract

Linear peptides derived from the HIV gp41 C-terminus (C-peptides), such as the 36-residue Fuzeon, are potent HIV fusion inhibitors. These molecules bind to the N-peptide region of gp41 and inhibit an intramolecular protein-protein interaction that powers fusion of the viral and host cell membranes. The N-peptide region contains a surface pocket that is occupied in the post-fusion state by three alpha-helical residues found near the gp41 C-terminus: Trp628, Trp631, and Ile635-the WWI epitope. Here, we describe a set of beta3-decapeptides (betaWWI-1-4) in which the WWI epitope is presented on one face of a short 14-helix stabilized by macrodipole neutralization and side chain-side chain salt bridges. betaWWI-1-4 bind in vitro to IZN17, a validated gp41 model, and inhibit syncytia formation in cell culture. Molecules lacking a complete WWI functional epitope neither bind IZN17 nor inhibit syncytia formation. These results provide evidence that short beta-peptide 14-helices can inhibit an intramolecular protein-protein interaction in vivo. Molecules related to betaWWI-1-4 could represent starting points for the development of highly potent inhibitors or antigens effective against HIV or other viruses, including SARS, Ebola, HRSV, and influenza, that employ common fusion mechanisms.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ja053444+

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 174

Metadata

Authors
Stephens, O. M., Kim, S., Welch, B. D., Hodsdon, M. E., Kay, M. S., & Schepartz, A.
Venue
Journal of the American Chemical Society
Published
2005-08-31
Volume
127
Issue
38
Pages
13126-13127
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2033103812
Cited by
174
References
1
FWCI
4.38
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.