Evidence map›Paper›PMID 35054576›Full record

ArticleMembranes2021

Dependence of Protein Structure on Environment: FOD Model Applied to Membrane Proteins.

Irena Roterman, Katarzyna Stapor, Krzysztof Gądek, Tomasz Gubała, Piotr Nowakowski, Piotr Fabian, Leszek Konieczny

Abstract read
In one paragraph

Article in Membranes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Protein Is an Intelligent Micelle.Entropy (Basel, Switzerland) · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

7 authors.

Irena RotermanDepartment of Bioinformatics and Telemedicine, Medical College, Jagiellonian University, Medyczna 7, 30-688 Krakow, Poland.ORCID 0000-0003-3652-9099
Katarzyna StaporDepartment of Applied Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.ORCID 0000-0003-3003-6592
Krzysztof GądekSano Centre for Computation Medicine, Czarnowiejska 36, 30-054 Kraków, Poland.
Tomasz GubałaSano Centre for Computation Medicine, Czarnowiejska 36, 30-054 Kraków, Poland.
Piotr NowakowskiSano Centre for Computation Medicine, Czarnowiejska 36, 30-054 Kraków, Poland.
Piotr FabianDepartment of Algorithmics and Software, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.ORCID 0000-0002-5152-6331
Leszek KoniecznyChair of Medical biochemistry, Medical College, Jagiellonian University, Kopernika 7, 31-034 Krakow, Poland.

Funding

Jagiellonian University N41/DBS/000722
6 · The paper itself

Abstract

The natural environment of proteins is the polar aquatic environment and the hydrophobic (amphipathic) environment of the membrane. The fuzzy oil drop model (FOD) used to characterize water-soluble proteins, as well as its modified version FOD-M, enables a mathematical description of the presence and influence of diverse environments on protein structure. The present work characterized the structures of membrane proteins, including those that act as channels, and a water-soluble protein for contrast. The purpose of the analysis was to verify the possibility that an external force field can be used in the simulation of the protein-folding process, taking into account the diverse nature of the environment that guarantees a structure showing biological activity.

Indexed as

efflux in bacteriahydrophobic corehydrophobicitymechanosensitive channelsmembrane proteinsMsbAMscS

Identifiers

PMID35054576
PMCPMC8778870

What OpenQuestion holds

Textmetadata
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.