Protein complex prediction in large protein–protein interaction network

Due to high computational complexity, the detection of protein complexes in large protein–protein interaction (PPI) networks remains a challenging problem. Finding the actual protein complexes from a large PPI network requires a sophisticated algorithm. The protein complexes exhibit in densely conne...

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Main Authors: Md. Shahidul Islam, Md. Rafiqul Islam, A.B.M. Shawkat Ali
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914822000934
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author Md. Shahidul Islam
Md. Rafiqul Islam
A.B.M. Shawkat Ali
author_facet Md. Shahidul Islam
Md. Rafiqul Islam
A.B.M. Shawkat Ali
author_sort Md. Shahidul Islam
collection DOAJ
description Due to high computational complexity, the detection of protein complexes in large protein–protein interaction (PPI) networks remains a challenging problem. Finding the actual protein complexes from a large PPI network requires a sophisticated algorithm. The protein complexes exhibit in densely connected sub-graphs in a PPI network. This paper presents a novel algorithm based on a metaheuristic method for protein complex prediction in large PPI networks. The algorithm mimics the density-based graph clustering method with biological heuristics to identify the protein complexes. The algorithm is enhanced by a local search algorithm and three repair operators. A new function has been developed for computing cluster density. The method was applied to the yeast and human protein interaction data and compared with the state-of-the-art algorithms. The comparisons demonstrate the best performance of the proposed algorithm in terms of accuracy and f-measure.
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spelling doaj.art-6e0a6febe2914d43bbabbf761b0c76452022-12-22T03:34:17ZengElsevierInformatics in Medicine Unlocked2352-91482022-01-0130100947Protein complex prediction in large protein–protein interaction networkMd. Shahidul Islam0Md. Rafiqul Islam1A.B.M. Shawkat Ali2University of Asia Pacific, Dhaka-1205, BangladeshKhulna University, Khulna-9208, Bangladesh; Corresponding author.Rajapore, Ghouradap, Jamalpur-2000, BangladeshDue to high computational complexity, the detection of protein complexes in large protein–protein interaction (PPI) networks remains a challenging problem. Finding the actual protein complexes from a large PPI network requires a sophisticated algorithm. The protein complexes exhibit in densely connected sub-graphs in a PPI network. This paper presents a novel algorithm based on a metaheuristic method for protein complex prediction in large PPI networks. The algorithm mimics the density-based graph clustering method with biological heuristics to identify the protein complexes. The algorithm is enhanced by a local search algorithm and three repair operators. A new function has been developed for computing cluster density. The method was applied to the yeast and human protein interaction data and compared with the state-of-the-art algorithms. The comparisons demonstrate the best performance of the proposed algorithm in terms of accuracy and f-measure.http://www.sciencedirect.com/science/article/pii/S2352914822000934Protein complex predictionChemical reaction optimizationProtein–protein interaction networkClustering
spellingShingle Md. Shahidul Islam
Md. Rafiqul Islam
A.B.M. Shawkat Ali
Protein complex prediction in large protein–protein interaction network
Informatics in Medicine Unlocked
Protein complex prediction
Chemical reaction optimization
Protein–protein interaction network
Clustering
title Protein complex prediction in large protein–protein interaction network
title_full Protein complex prediction in large protein–protein interaction network
title_fullStr Protein complex prediction in large protein–protein interaction network
title_full_unstemmed Protein complex prediction in large protein–protein interaction network
title_short Protein complex prediction in large protein–protein interaction network
title_sort protein complex prediction in large protein protein interaction network
topic Protein complex prediction
Chemical reaction optimization
Protein–protein interaction network
Clustering
url http://www.sciencedirect.com/science/article/pii/S2352914822000934
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