Construction and Analysis of Protein-Protein Interaction Network to Identify the Molecular Mechanism in Laryngeal Cancer

Harun, Sarahani; Zulkifle, Nurulisa

doi:10.17576/jsm-2018-4712-01

Cited by 5 publications

(3 citation statements)

References 67 publications

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“…According to the principle of "guilt by association,", interacting proteins are proteins that have the same biological process and are located in the same cellular compartment. Therefore, in general, proteins of the same molecular complex have the same function [15]. In this study, 17 clusters with different scores were obtained, where the data collected was clusters with scores > 5 [16], which showed the most significant clusters among other clusters [17].…”

Section: Protein Network Construction -Protein Interaction (Ppi)mentioning

confidence: 85%

Identification of Significant Proteins in Hypertension Using The Clustering Molecular Complex Detection (MCODE) Method

Setiani,

Kusuma,

Zulkarnaen

2023

JIIKM

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Hypertension is a condition where the systolic blood pressure value is more than 140 mmHg and the diastolic blood pressure value is more than 90 mmHg. A significant protein is a protein that has the greatest effect or is the center of protein regulation in all biochemical processes. The purpose of this study was to determine the significant protein that has the greatest ef- fect on hypertension by using the clustering Molecular Complex Detection (MCODE) method which will identify areas in the network with the highest density value locally and to determine the mechanism of action of the significant proteins obtained in the setting blood pressure using Gene Ontology and Kyoto Encyclopedia and Genome Analysis (KEGG) by looking at protein signaling pathways for hypertension. The results showed that the STAT3, MAPK3, AKT1, and EDN1 proteins were significant proteins involved in the mechanism of the response to leptin, the ERK1 and ERK2 cascades, the process of nitric oxide biosynthesis, and the cellular response to ROS.

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Section: Protein Network Construction -Protein Interaction (Ppi)mentioning

confidence: 85%

Identification of Significant Proteins in Hypertension Using The Clustering Molecular Complex Detection (MCODE) Method

Setiani,

Kusuma,

Zulkarnaen

2023

JIIKM

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“…When storing uploaded resources, the system will automatically judge the resource type and determine the storage method of resources. Literature [20] through the big data analysis method, learners use the resource database to learn. When they encounter problems, they cannot find resources to solve problems, or cannot find resources suitable for their learning ability.…”

Section: Related Workmentioning

confidence: 99%

Construction and Sharing of Network Education Resources Based on DM Technology

Lv¹

2022

Mobile Information Systems

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In traditional teaching, teachers mainly rely on books to impart knowledge to students, and students mainly broaden their knowledge and enrich their knowledge reserves through books. In network teaching, network construction is the foundation, resource construction is the core, teaching application is the purpose, teachers or students can query through the network, and transfer the required content from the repository of teaching information resources, teaching or learning. It is a new achievement of modern information technology applied to education, which breaks through the time and space boundaries and is different from the traditional classroom teaching mode. Based on DM technology, this paper studies the construction of network education resources, collects all aspects of attribute information of visitors, recommends the most interesting content to visitors on the premise of grasping the scope and characteristics of visitors’ needs, and adjusts the changes of users’ interests at any time to remove the information never visited. Using DM technology, the mining data source can be obtained by data cleaning. DM technology can be divided into classification and prediction, cluster analysis and association analysis according to functions.

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“…PPI has been utilised in biomedical research to unveil the complex pathogenesis of human diseases. Human diseases, such as cancers, polycystic ovarian syndrome (PCOS), cardiovascular diseases, and diabetes, are governed by more than one protein and are involved in several biological processes and pathways [ 15 , 16 , 17 , 18 , 19 ]. Studying the related proteins with their partners facilitates: (i) identifying genes or proteins responsible for the diseases in a network-based approach, (ii) determining subnetworks related to particular biological processes, and (iii) searching for new genes or proteins related to the diseases.…”

Section: Introductionmentioning

confidence: 99%

Protein–Protein Interaction (PPI) Network of Zebrafish Oestrogen Receptors: A Bioinformatics Workflow

Zainal-Abidin

Afiqah‐Aleng

Abdullah‐Zawawi

et al. 2022

Life

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Protein–protein interaction (PPI) is involved in every biological process that occurs within an organism. The understanding of PPI is essential for deciphering the cellular behaviours in a particular organism. The experimental data from PPI methods have been used in constructing the PPI network. PPI network has been widely applied in biomedical research to understand the pathobiology of human diseases. It has also been used to understand the plant physiology that relates to crop improvement. However, the application of the PPI network in aquaculture is limited as compared to humans and plants. This review aims to demonstrate the workflow and step-by-step instructions for constructing a PPI network using bioinformatics tools and PPI databases that can help to predict potential interaction between proteins. We used zebrafish proteins, the oestrogen receptors (ERs) to build and analyse the PPI network. Thus, serving as a guide for future steps in exploring potential mechanisms on the organismal physiology of interest that ultimately benefit aquaculture research.

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Construction and Analysis of Protein-Protein Interaction Network to Identify the Molecular Mechanism in Laryngeal Cancer

Cited by 5 publications

References 67 publications

Identification of Significant Proteins in Hypertension Using The Clustering Molecular Complex Detection (MCODE) Method

Identification of Significant Proteins in Hypertension Using The Clustering Molecular Complex Detection (MCODE) Method

Construction and Sharing of Network Education Resources Based on DM Technology

Protein–Protein Interaction (PPI) Network of Zebrafish Oestrogen Receptors: A Bioinformatics Workflow

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