Evidence map›Paper›PMID 33510888›Full record

ArticleJournal of healthcare engineering2021

Protein-Protein Interaction Analysis through Network Topology (Oral Cancer).

Fazal Wahab Khattak, Yousef Salamah Alhwaiti, Amjad Ali, Mohammad Faisal, Muhammad Hameed Siddiqi

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 32 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Fazal Wahab KhattakDepartment of Computer and Software Technology, University of Swat, Mingora, KPK, Pakistan.
Yousef Salamah AlhwaitiDepartment of Computer Science, Al Jouf University, Sakaka, Aljouf, Saudi Arabia.
Amjad AliDepartment of Computer and Software Technology, University of Swat, Mingora, KPK, Pakistan.
Mohammad FaisalDepartment of CS & IT, University of Malakand, Chakdara, KPK, Pakistan.ORCID 0000-0001-6823-5592
Muhammad Hameed SiddiqiDepartment of CS & IT, University of Malakand, Chakdara, KPK, Pakistan.
University of Malakand · PKUniversity of Swat · PKJouf University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral cancer is a complex disorder. Its creation and spreading are due to the interaction of several proteins and genes in different biological thoroughfares. To study biological pathways, many high-yield methods have been used. Efforts to merge several data found at separate levels related to biological thoroughfares and interlinkage networks remain elusive. In our research work, we have proposed a technique known as protein-protein interaction network for analysis and exploring the genes involved in oral cancer disorders. The previous studies have not fully analyzed the proteins or genes involved in oral cancer. Our proposed technique is fully interactive and analyzes the data of oral cancer disorder more accurately and efficiently. The methods used here enabled us to observe the wide network consists of one mighty network comprising of 208 nodes 1572 edges which connect these nodes and various detached small networks. In our study, TP53 is a gene that occupied an important position in the network. TP53 has a 113-degree value and 0.03881821 BC value, indicating that TP53 is centrally localized in the network and is a significant bottleneck protein in the oral cancer protein-protein interaction network. These findings suggested that the pathogenesis of oral cancer variation was organized by means of an integrated PPI network, which is centered on TP53. Furthermore, our identification shows that TP53 is the key role-playing protein in the oral cancer network, and its significance in the cellular networks in the body is determined as well. As TP53 (tumor protein 53) is a vital player in the cell division process, the cells may not grow or divide disorderly; it fulfills the function of at least one of the gene groups in oral cancer. However, the latter progression in the area is any measure; the intention of developing these networks is to transfigure sketch of core disease development, prognosis, and treatment.

Indexed as

Computational BiologyMouth NeoplasmsHumansPrognosisProtein Interaction MapsTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID33510888
PMCPMC7826244
OpenAlexW3124953609

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.