Evidence map›Paper›PMID 36215254›Full record

ArticlePloS one2022

New insights into disordered proteins and regions according to the FOD-M model.

Irena Roterman, Katarzyna Stapor, Piotr Fabian, Leszek Konieczny

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Protein folding: Funnel model revised.Computational and structural biotechnology journal · 2024
    Article
  2. 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

4 authors at 2 institutions in 1 country.

Irena RotermanDepartment of Bioinformatics and Telemedicine, Jagiellonian University, Medical College, Kraków, Poland.ORCID 0000-0003-3652-9099
Katarzyna StaporFaculty of Automatic, Department of Applied Informatics, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland.ORCID 0000-0003-3003-6592
Piotr FabianFaculty of Automatic, Electronics and Computer Science, Department of Algorithmics and Software, Silesian University of Technology, Gliwice, Poland.ORCID 0000-0002-5152-6331
Leszek KoniecznyChair of Medical Biochemistry, Jagiellonian University, Medical College, Kraków, Poland.
Jagiellonian University · PLSilesian University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A collection of intrinsically disordered proteins (IDPs) having regions with the status of intrinsically disordered (IDR) according to the Disprot database was analyzed from the point of view of the structure of hydrophobic core in the structural unit (chain / domain). The analysis includes all the Homo Sapiens as well as Mus Musculus proteins present in the DisProt database for which the structure is available. In the analysis, the fuzzy oil drop modified model (FOD-M) was used, taking into account the external force field, modified by the presence of other factors apart from polar water, influencing protein structuring. The paper presents an alternative to secondary-structure-based classification of intrinsically disordered regions (IDR). The basis of our classification is the ordering of hydrophobic core as calculated by the FOD-M model resulting in FOD-ordered or FOD-unordered IDRs.

Indexed as

Intrinsically Disordered ProteinsAnimalsHumansHydrophobic and Hydrophilic InteractionsMiceProtein ConformationProtein Structure, SecondaryWaterIntrinsically Disordered ProteinsWater

Identifiers

PMID36215254
PMCPMC9550084
OpenAlexW4304087208

What OpenQuestion holds

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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.