Identification of significant protein in protein-protein interaction of Alzheimer disease using top-k representative skyline query

Jurnal Teknologi dan Sistem Komputer

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Title Identification of significant protein in protein-protein interaction of Alzheimer disease using top-k representative skyline query
Identifikasi protein signifikan pada interaksi protein-protein penyakit Alzheimer menggunakan algoritme top-k representative skyline query
 
Creator Diansyah, Mohammad Romano
Kusuma, Wisnu Ananta
Annisa, Annisa
 
Subject alzheimer; centrality measures; protein-protein interaction; skyline query; Top-k RSP
Alzheimer; centrality measures; PPI; skyline query; Top-k RSP
 
Description Alzheimer's disease is the most common neurodegenerative disease. This study aims to analyze protein-protein interaction (PPI) to provide a better understanding of multifactorial neurodegenerative diseases and can be used to find proteins that have a significant role in Alzheimer's disease. PPI data were obtained from experimental and computational predictions and analyzed using centrality measures. The Top-k RSP method was applied to find significant proteins in PPI networks using the dominance rule. The method was applied to the PPI data with the interaction sources from the experimental and experiment+prediction. The results indicate that APP and PSEN1 are significant proteins for Alzheimer's disease. This study also showed that both data sources (experiment+prediction) and the Top-k RSP algorithm proved useful for PPI analysis of Alzheimer's disease.
Penyakit Alzheimer merupakan penyakit neurodegeneratif yang paling umum terjadi. Kajian ini bertujuan melakukan analisis protein-protein interaction (PPI) yang dapat memberikan pemahaman lebih baik terhadap penyakit neurodegeneratif dan bisa digunakan untuk menemukan protein yang memiliki peran signifikan pada penyakit Alzheimer. Data PPI diperoleh dari eksperimen dan prediksi komputasional. PPI dapat dianalisis menggunakan centrality measures. Metode Top-k RSP digunakan untuk menemukan protein signifikan dengan menggunakan aturan dominansi dan digunakan pada sumber data interaksi eksperimen dan eksperimen+prediksi. Hasil penelitian ini menunjukkan bahwa APP dan PSEN1 merupakan protein signifikan untuk penyakit Alzheimer. Selain itu, kedua sumber data (eksperimen+prediksi) dan algoritme Top-k RSP terbukti dapat digunakan untuk analisis PPI dari penyakit Alzheimer.
 
Publisher Departemen Teknik Komputer, Fakultas Teknik, Universitas Diponegoro
 
Date 2021-07-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://jtsiskom.undip.ac.id/article/view/13985
10.14710/jtsiskom.2021.13985
 
Source Jurnal Teknologi dan Sistem Komputer; Volume 9, Issue 3, Year 2021 (July 2021); 126-132
Jurnal Teknologi dan Sistem Komputer; Volume 9, Issue 3, Year 2021 (July 2021); 126-132
2338-0403
 
Language ind
 
Relation https://jtsiskom.undip.ac.id/article/view/13985/12689
https://jtsiskom.undip.ac.id/article/downloadSuppFile/13985/657
 
Rights Copyright (c) 2021 The Authors. Published by Department of Computer Engineering, Universitas Diponegoro
https://creativecommons.org/licenses/by-sa/4.0
 

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