Evidence map›Paper›PMID 28217749›Full record

ArticleHeliyon2017

Determining protein similarity by comparing hydrophobic core structure.

M Gadzała, B Kalinowska, M Banach, L Konieczny, I Roterman

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Protein folding: Funnel model revised.Computational and structural biotechnology journal · 2024
    Article
  3. Article
  4. Model of Environmental Membrane Field for Transmembrane Proteins.International journal of molecular sciences · 2021
    Article
  5. 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

5 authors at 2 institutions in 1 country.

M GadzałaAGH - Academic Computer Center - Cyfronet, Nawojki 11, Kraków 30-950, Poland.
B KalinowskaFaculty of Physics, Astronomy, Applied Computer Science - Jagiellonian University, Łojasiewicza 11, Kraków 30-348, Poland.
M BanachDepartment of Bioinformatics and Telemedicine, Jagiellonian University - Medical College, Łazarza 16, Krakow 31-530, Poland.
L KoniecznyChair of Medical Biochemistry, Jagiellonian University - Medical College, Kopernika 7, Kraków 31-034, Poland.
I RotermanDepartment of Bioinformatics and Telemedicine, Jagiellonian University - Medical College, Łazarza 16, Krakow 31-530, Poland.
Jagiellonian University · PLAGH University of Krakow · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Formal assessment of structural similarity is - next to protein structure prediction - arguably the most important unsolved problem in proteomics. In this paper we propose a similarity criterion based on commonalities between the proteins' hydrophobic cores. The hydrophobic core emerges as a result of conformational changes through which each residue reaches its intended position in the protein body. A quantitative criterion based on this phenomenon has been proposed in the framework of the CASP challenge. The structure of the hydrophobic core - including the placement and scope of any deviations from the idealized model - may indirectly point to areas of importance from the point of view of the protein's biological function. Our analysis focuses on an arbitrarily selected target from the CASP11 challenge. The proposed measure, while compliant with CASP criteria (70-80% correlation), involves certain adjustments which acknowledge the presence of factors other than simple spatial arrangement of solids.

Indexed as

BioinformaticsBiological sciences

Identifiers

PMID28217749
PMCPMC5300504
OpenAlexW2587685943

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.