Evidence map›Paper›PMID 24930968›Full record

ArticleChemistry & biology2014

Folded small molecule manipulation of islet amyloid polypeptide.

Sunil Kumar, Mark A Brown, Abhinav Nath, Andrew D Miranker

Abstract read
In one paragraph

Article in Chemistry & biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 28 citations in OpenAlex.

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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.

Sunil KumarDepartment of Molecular Biophysics and Biochemistry, Yale University, 260 Whitney Avenue, New Haven, CT 06520-8114, USA.
Mark A BrownDepartment of Molecular Biophysics and Biochemistry, Yale University, 260 Whitney Avenue, New Haven, CT 06520-8114, USA.
Abhinav NathDepartment of Molecular Biophysics and Biochemistry, Yale University, 260 Whitney Avenue, New Haven, CT 06520-8114, USA.
Andrew D MirankerDepartment of Molecular Biophysics and Biochemistry, Yale University, 260 Whitney Avenue, New Haven, CT 06520-8114, USA. Electronic address: andrew.miranker@yale.edu.
Whitney Museum of American Art · US

Funding

Insight into pathological self assembly using alpha-helical mimeticsR01GM094693 · NIGMS · YALE UNIVERSITY · PI MIRANKER, ANDREW D. · 2011 to 2014
$1.2M
NIGMS NIH HHS GM094693NIGMS NIH HHS R01 GM094693
6 · The paper itself

Abstract

Islet amyloid polypeptide (IAPP) is a hormone cosecreted with insulin by pancreatic β cells. Upon contact with lipid bilayers, it is stabilized into a heterogeneous ensemble of structural states. These processes are associated with gains of function, including catalysis of β sheet-rich amyloid formation, cell membrane penetration, loss of membrane integrity, and cytotoxicity. These contribute to the dysfunction of β cells, a central component in the pathology and treatment of diabetes. To gain mechanistic insight into these phenomena, a related series of substituted oligoquinolines were designed. These inhibitors are unique in that they have the capacity to affect both solution- and phospholipid bilayer-catalyzed IAPP self-assembly. Importantly, we show that this activity is associated with the oligoquinoline's capacity to irreversibly adopt a noncovalent fold. This suggests that compact foldamer scaffolds, such as oligoquinoline, are an important paradigm for conformational manipulation of disordered protein state.

Indexed as

Islet Amyloid PolypeptideKineticsModels, MolecularMolecular ConformationParticle SizeQuinolinesSurface PropertiesIslet Amyloid PolypeptideQuinolines

Identifiers

PMID24930968
PMCPMC4139143
OpenAlexW2065833476

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.