Evidence map›Paper›PMID 30128255›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2018

Elucidating Self-Assembling Peptide Aggregation via Morphoscanner: A New Tool for Protein-Peptide Structural Characterization.

Gloria A A Saracino, Federico Fontana, Shehrazade Jekhmane, João Medeiros Silva, Markus Weingarth, Fabrizio Gelain

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2018. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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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

6 authors.

Gloria A A SaracinoCenter for Nanomedicine and Tissue Engineering (CNTE) ASST Ospedale Niguarda Cà Granda Piazza dell'Ospedale Maggiore 3 20162 Milan Italy.
Federico FontanaIRCCS Casa Sollievo della Sofferenza Opera di San Pio da Pietralcina Viale Capuccini 1 71013 San Giovanni Rotondo Italy.
Shehrazade JekhmaneNMR Spectroscopy Bijvoet Center for Biomolecular Research Department of Chemistry Utrecht University Padualaan 8 3584 CH Utrecht The Netherlands.
João Medeiros SilvaNMR Spectroscopy Bijvoet Center for Biomolecular Research Department of Chemistry Utrecht University Padualaan 8 3584 CH Utrecht The Netherlands.
Markus WeingarthNMR Spectroscopy Bijvoet Center for Biomolecular Research Department of Chemistry Utrecht University Padualaan 8 3584 CH Utrecht The Netherlands.
Fabrizio GelainIRCCS Casa Sollievo della Sofferenza Opera di San Pio da Pietralcina Viale Capuccini 1 71013 San Giovanni Rotondo Italy.ORCID 0000-0002-2624-5853

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-assembling and molecular folding are ubiquitous in Nature: they drive the organization of systems ranging from living creatures to DNA molecules. Elucidating the complex dynamics underlying these phenomena is of crucial importance. However, a tool for the analysis of the various phenomena involved in protein/peptide aggregation is still missing. Here, an innovative software is developed and validated for the identification and visualization of

Indexed as

coarse‐grained molecular dynamicsmultilayer graph theorypattern recognitionself‐assembling peptidesβ‐structures

Identifiers

PMID30128255
PMCPMC6097002

What OpenQuestion holds

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Registered trials

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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.