Evidence map›Paper›PMID 23708321›Full record

ArticleProtein engineering, design & selection : PEDS2013

Combining intracellular selection with protein-fragment complementation to derive Aβ interacting peptides.

Nicola Acerra, Neil M Kad, Jody M Mason

Open access · hybridAbstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Intracellular selection of peptide inhibitors that target disulphide-bridged Aβ42 oligomers.Protein science : a publication of the Protein Society · 2014
    Article
  4. 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

3 authors at 1 institution in 1 country.

Nicola AcerraThe School of Biological Sciences, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK.
Neil M Kad
Jody M Mason
University of Essex · GB

Funding

Biotechnology and Biological Sciences Research Council BB/I003460/1Cancer Research UK C29788/A11738Parkinson's UK H-1001Wellcome Trust WT090184MA
6 · The paper itself

Abstract

Aggregation of the β-amyloid (Aβ) peptide into toxic oligomers is considered the primary event in the pathogenesis of Alzheimer's disease. Previously generated peptides and mimetics designed to bind to amyloid fibrils have encountered problems in solubility, protease susceptibility and the population of small soluble toxic oligomers. We present a new method that opens the possibility of deriving new amyloid inhibitors. The intracellular protein-fragment complementation assay (PCA) approach uses a semi-rational design approach to generate peptides capable of binding to Aβ. Peptide libraries are based on Aβ regions responsible for instigating amyloidosis, with screening and selection occurring entirely inside Escherichia coli. Successfully selected peptides must therefore bind Aβ and recombine an essential enzyme while permitting bacterial cell survival. No assumptions are made regarding the mechanism of action for selected binders. Biophysical characterisation demonstrates that binding induces a noticeable reduction in amyloid. Therefore, this amyloid-PCA approach may offer a new pathway for the design of effective inhibitors against the formation of amyloid in general.

Indexed as

Alzheimer DiseaseAmino Acid SequenceAmyloid beta-PeptidesBinding SitesEscherichia coliHumansMolecular Sequence DataPeptide FragmentsPeptide LibraryAmyloid beta-PeptidesPeptide FragmentsPeptide LibraryAlzheimer's diseasepeptide interactionsprotein-fragment complementation, β-sheetsβ-amyloid

Identifiers

PMID23708321
PMCPMC3690830
OpenAlexW2138769963

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.