Evidence map›Paper›PMID 33163198›Full record

ArticleMaterials chemistry frontiers2020

A combined experimental and computational approach reveals how aromatic peptide amphiphiles self-assemble to form ion-conducting nanohelices.

Yin Wang, Yaxin An, Yulia Shmidov, Ronit Bitton, Sanket A Deshmukh, John B Matson

Open access · greenAbstract read
In one paragraph

Article in Materials chemistry frontiers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Supramolecular Peptide Nanostructures Regulate Catalytic Efficiency and Selectivity.Angewandte Chemie (International ed. in English) · 2023
    Article
  4. Self-Assembling Peptide-Based Hydrogels for Wound Tissue Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  5. Review
  6. The Martini Model in Materials Science.Advanced materials (Deerfield Beach, Fla.) · 2021
    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

6 authors at 2 institutions in 2 countries.

Yin WangDepartment of Chemistry, Virginia Tech Center for Drug Discovery, and Macromolecules Innovation Institute, Virginia Tech, Blacksburg, VA 24061, United States.
Yaxin AnDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, United States.
Yulia ShmidovDepartment of Chemical Engineering and the Ilse Katz Institute for Nanoscale Science and Technology, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Ronit BittonDepartment of Chemical Engineering and the Ilse Katz Institute for Nanoscale Science and Technology, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Sanket A DeshmukhDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, United States.
John B MatsonDepartment of Chemistry, Virginia Tech Center for Drug Discovery, and Macromolecules Innovation Institute, Virginia Tech, Blacksburg, VA 24061, United States.
Virginia Tech · USBen-Gurion University of the Negev · IL

Funding

Delivery of H2S: Supramolecular and Enzyme-Triggered Strategies for Controlled ReleaseR01GM123508 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MATSON, JOHN B · 2017 to 2021
$1.6M
NIGMS NIH HHS R01 GM123508
6 · The paper itself

Abstract

Reported here is a combined experimental-computational strategy to determine structure-property-function relationships in persistent nanohelices formed by a set of aromatic peptide amphiphile (APA) tetramers with the general structure

Identifiers

PMID33163198
PMCPMC7643854
OpenAlexW3062142497

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.