Evidence map›Paper›PMID 39622863›Full record

ArticleScientific reports2024

Molecular dynamics-based computational investigations on the influence of tumor suppressor p53 binding protein against other proteins/peptides.

Mohnad Abdalla, Sozan M Abdelkhalig, Uwem O Edet, James H Zothantluanga, Ekementeabasi Aniebo Umoh, Ehssan Moglad, Nkoyo Ani Nkang, Meshari M Hader, Tariq Mohammed R Alanazi, Sawsan AlShouli and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Mohnad AbdallaPediatric Research Institute, Children's Hospital Affiliated to Shandong University, Jinan, China. mohnadabdalla200@gmail.com.
Sozan M AbdelkhaligDepartment of Basic Medical Sciences, College of Medicine, AlMaarefa University, P.O. Box 71666, Riyadh, 11597, Saudi Arabia.ORCID http://orcid.org/0000-0001-8381-9967
Uwem O EdetDepartment of Biological (Microbiology), Faculty of Natural and Applied Sciences, Arthur Jarvis University, Akpabuyo, Cross River State, Nigeria. uwemedet27@gmail.com.
James H ZothantluangaDepartment of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, 786004, Assam, India.
Ekementeabasi Aniebo UmohDepartment of Human Physiology, Faculty of Basic Medical Sciences, Arthur Jarvis University, Akpabuyo, Cross River State, Nigeria.
Ehssan MogladDepartment of Pharmaceutics, College of Pharmacy, Prince Sattam bin Abdulaziz University, P.O. Box 173, Alkharj, 11942, Saudi Arabia.ORCID http://orcid.org/0000-0002-1076-9740
Nkoyo Ani NkangScience Laboratory Department, Faculty of Biological Sciences, University of Calabar, Calabar, Cross River State, Nigeria.
Meshari M HaderDietary Department, Dr. Soliman Fakeeh Hospital, Jeddah, Saudi Arabia.
Tariq Mohammed R AlanaziSecurity Forces Hospital, Riyadh, Saudi Arabia.
Sawsan AlShouliPharmacy Department, Security Forces Hospital, Riyadh, 11481, Saudi Arabia.
Samia Al-ShouliImmunology Unit, Department of Pathology, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor-suppressing p-53 binding protein is a crucial protein that is involved in the prevention of cancer via its regulatory effect on a number of cellular processes. Recent evidence indicates that it interacts with a number of other proteins involved in cancer in ways that are not fully understood. An understanding of such interactions could provide insights into novel ways p53 further exerts its tumour prevention role via its interactions with diverse proteins. Thus, this study aimed to examine the interactions of the p53 protein with other proteins (peptides and histones) using molecular simulation dynamics. We opted for a total of seven proteins, namely 2LVM, 2MWO, 2MWP, 4CRI, 4 × 34, 5Z78, and 6MYO (control), and had their PBD files retrieved from the protein database. These proteins were then docked against the p-53 protein and the resulting interactions were examined using molecular docking simulations run at 500 ns. The result of the interactions revealed the utilisation of various amino acids in the process. The peptide that interacted with the highest number of amino acids was 5Z78 and these were Lys10, Gly21, Trp24, Pro105, His106, and Arg107, indicating a stronger interaction. The RMSD and RMSF values indicate that the complexes formed were stable, with 4CRI, 6MYO, and 2G3R giving the most stable values (less than 2.5 Å). Other parameters, including the SASA, Rg, and number of hydrogen bonds, all indicated the formation of fairly stable complexes. Our study indicates that overall, the interactions of 53BP1 with p53K370me2, p53K382me2, methylated K810 Rb, p53K381acK382me2, and tudor-interacting repair regulator protein indicated interactions that were not as strong as those with the histone protein. Thus, it could be that P53 may mediate its tumour suppressing effect via interactions with amino acids and histone.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationPeptidesProtein BindingTumor Suppressor Protein p53Binding SitesHistonesHumansTumor Suppressor p53-Binding Protein 1HistonesPeptidesTP53BP1 protein, humanTP53 protein, humanTumor Suppressor p53-Binding Protein 1Tumor Suppressor Protein p53CancerIn-silicop53 proteinPeptidesPreventionSimulation

Identifiers

PMID39622863
PMCPMC11612205

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.