DOI: https://doi.org/10.14710/jtsiskom.2021.13985

Identifikasi protein signifikan pada interaksi protein-protein penyakit Alzheimer menggunakan algoritme top-k representative skyline query

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

1Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University. Jl. Meranti Wing 20 Level 5, Kampus IPB Darmaga, Bogor 16680, Indonesia

2Tropical Biopharmaca Research Center, IPB University. Jl. Taman Kencana No. 3, Bogor 16128, Indonesia

Received: 19 Nov 2020; Revised: 20 Mar 2021; Accepted: 24 Apr 2021; Available online: 26 Apr 2021; Published: 31 Jul 2021.
Open Access Copyright (c) 2021 The Authors. Published by Department of Computer Engineering, Universitas Diponegoro
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract
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.

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Subject The collecting data on genes/proteins associated with Alzheimer's disease from the OMIM database, information on interactions between proteins from the STRING database, and the results of topological analysis of protein-protein interaction networks.
Type Research Results
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Keywords: alzheimer; centrality measures; protein-protein interaction; skyline query; Top-k RSP
Funding: Ministry of Research, Technology, and Higher Education under contract 4168/IT3.I.1/PN/2019

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