Evidence map›Paper›PMID 36249386›Full record

ArticleACS omega2022

Succinct Amyloid and Nonamyloid Patterns in Hexapeptides.

László Keresztes, Evelin Szögi, Bálint Varga, Viktor Farkas, András Perczel, Vince Grolmusz

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2022. 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
0.4field-weighted citation impact, top 41% 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, 5 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

László KeresztesPIT Bioinformatics Group, Eötvös University, Budapest H-1117, Hungary.
Evelin SzögiPIT Bioinformatics Group, Eötvös University, Budapest H-1117, Hungary.
Bálint VargaPIT Bioinformatics Group, Eötvös University, Budapest H-1117, Hungary.
Viktor FarkasMTA-ELTE Protein Modeling Research Group, Budapest H-1117, Hungary.
András PerczelMTA-ELTE Protein Modeling Research Group, Budapest H-1117, Hungary.ORCID https://orcid.org/0000-0003-1252-6416
Vince GrolmuszPIT Bioinformatics Group, Eötvös University, Budapest H-1117, Hungary.ORCID https://orcid.org/0000-0001-9456-8876
Eötvös Loránd University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hexapeptides are widely applied as a model system for studying the amyloid-forming properties of polypeptides, including proteins. Recently, large experimental databases have become publicly available with amyloidogenic labels. Using these data sets for training and testing purposes, one may build artificial intelligence (AI)-based classifiers for predicting the amyloid state of peptides. In our previous work (

Identifiers

PMID36249386
PMCPMC9558248
OpenAlexW4297347312

What OpenQuestion holds

Textmetadata
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.