Evidence map›Paper›PMID 30069254›Full record

ArticleThe open biomedical engineering journal2018

Investigating the Conformation of S100β Protein Under Physiological Parameters Using Computational Modeling: A Clue for Rational Drug Design.

Elvis K Tiburu, Ibrahim Issah, Mabel Darko, Robert E Armah-Sekum, Stephen O A Gyampo, Nadia K Amoateng, Samuel K Kwofie, Gordon Awandare

Open access · diamondAbstract read
In one paragraph

Article in The open biomedical engineering journal, 2018. 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
0.3field-weighted citation impact, top 43% 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, 4 citations in OpenAlex.

  1. Quercetin and Citreorosein fromCurrent pharmaceutical design · 2026
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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

8 authors at 1 institution in 1 country.

Elvis K TiburuDepartment of Biomedical Engineering, College of Basic and Applied Sciences, University of Ghana, P. O. Box LG 25, Legon.
Ibrahim IssahDepartment of Biomedical Engineering, College of Basic and Applied Sciences, University of Ghana, P. O. Box LG 25, Legon.
Mabel DarkoDepartment of Biomedical Engineering, College of Basic and Applied Sciences, University of Ghana, P. O. Box LG 25, Legon.
Robert E Armah-SekumDepartment of Biomedical Engineering, College of Basic and Applied Sciences, University of Ghana, P. O. Box LG 25, Legon.
Stephen O A GyampoDepartment of Biomedical Engineering, College of Basic and Applied Sciences, University of Ghana, P. O. Box LG 25, Legon.
Nadia K AmoatengDepartment of Biomedical Engineering, College of Basic and Applied Sciences, University of Ghana, P. O. Box LG 25, Legon.
Samuel K KwofieDepartment of Biomedical Engineering, College of Basic and Applied Sciences, University of Ghana, P. O. Box LG 25, Legon.
Gordon AwandareDepartment of Biochemistry, Cell and Molecular Biology, University of Ghana, P. O. Box LG 25, Legon.
University of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysiochemical factors such as temperature, pH and cofactors are well known parameters that confer conformational changes in a protein structure. With S100β protein being a metal binding brain-specific receptor for both extracellular and intracellular functions, a change in conformation due to the above-mentioned factors, can compromise their cellular functions and therefore result in several pathological conditions such as Alzheimer's disease, Ischemic stroke, as well as Myocardial Infarction.

objectiveThe studies conducted sought to elucidate the effect of these physiological factors on the conformational dynamics of S100β protein using computational modeling approaches.

methodTemperature-dependent and protein-cofactor complexes molecular dynamics simulations were conducted by varying the temperature from 100 to 400K using GROMACS 5.0.3. Additionally, the conformational dynamics of the protein was studied by varying the pH at 5.0, 7.4 and 9.0 using Ambertools17. This was done by preparing the protein molecule, solvating and minimizing its energy level as well as heating it to the required temperature, equilibrating and simulating under desired conditions (NVT and NPT ensembles).

resultsThe results show that the protein misfolds as a function of increasing temperature with alpha helical content at 100K and 400K being 57.8% and 43.3%, respectively. However, the binding sites of the protein was not appreciably affected by temperature variations. The protein displayed high conformational instability in acidic medium (pH ~5.0). The binding sites of Ca

conclusionHigh temperatures, different cofactors and acidic pH confer conformational changes to the S100β structure and these results may inform the design of novel drugs against the protein.

Indexed as

Alzheimer'sCofactorsEnergy MinimizationMolecular DynamicsPhysiological ParametersS100β Protein

Identifiers

PMID30069254
PMCPMC6048829
OpenAlexW2814604941

What OpenQuestion holds

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LicenceCC BY
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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.