Evidence map›Paper›PMID 22522186›Full record

ArticleAnalytical biochemistry2012

Developing peptide-based multivalent antagonists of proliferating cell nuclear antigen and a fluorescence-based PCNA binding assay.

William P Bozza, Kun Yang, Jialiang Wang, Zhihao Zhuang

Open access · greenAbstract read
In one paragraph

Article in Analytical biochemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

William P BozzaDepartment of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA.
Kun Yang
Jialiang Wang
Zhihao Zhuang
University of Delaware · US

Funding

UDE COBRE: STRAINED MOLECULES FOR SYNTHESIS OF UNNATURAL AMINO ACIDSP20RR017716 · NCRR · UNIVERSITY OF DELAWARE · PI BEEBE, THOMAS PAUL · 2002 to 2011
$16.9M
NCRR NIH HHS P20 RR017716NCRR NIH HHS P20RR017716
6 · The paper itself

Abstract

Proliferating cell nuclear antigen (PCNA) is a critical player in cell proliferation. It interacts with a myriad of cellular proteins in genomic DNA replication and cell cycle control. This makes PCNA an attractive target for developing antiproliferative therapeutics. Indeed, the binding of a human tumor suppressor protein, p21, to PCNA contributes to its antiproliferative effect in cells. In this work, we report a fluorescence polarization-based binding assay for determining the affinity between the p21 peptide and human PCNA. To improve the potency of the p21-based PCNA antagonist, we exploited the homotrimeric structure of PCNA and developed multivalent peptide-based PCNA antagonists. The di- and trivalent p21-based antagonists bind to PCNA with low nanomolar dissociation constant. Moreover, we show that the multivalent PCNA antagonists inhibited PCNA-dependent DNA synthesis in a human cell extract with improved avidity when compared with the monovalent p21 peptide. The fluorescence polarization assay holds promise for the discovery of potent small-molecule PCNA inhibitors given its ready adaptability to a high-throughput screening format.

Indexed as

Cyclin-Dependent Kinase Inhibitor p21PeptidesAmino Acid SequenceBinding SitesCell ProliferationDNA ReplicationFluorescenceHeLa CellsHumansMolecular Sequence DataProliferating Cell Nuclear AntigenProtein BindingProtein ConformationCyclin-Dependent Kinase Inhibitor p21PeptidesProliferating Cell Nuclear Antigen

Identifiers

PMID22522186
PMCPMC3417354
OpenAlexW2059214032

What OpenQuestion holds

Textmetadata
LicenceTDM
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.