Structure of Protein Interaction Network Associated With Alzheimer’s Disease Using Graphlet Based Techniques

dc.contributor.authorKhasim, A.
dc.contributor.authorSubramanian, V.
dc.contributor.authorAjith, K.M.
dc.contributor.authorShajahan, T.K.
dc.date.accessioned2026-02-06T06:35:27Z
dc.date.issued2022
dc.description.abstractThe crucial step in analyzing a real-world network is to choose an acceptable network model. We try to select an appropriate network model for the protein-protein interaction (PPI) network of Alzheimer’s disease (AD) using Graphlet-based metrics. The Relative Graphlet Frequency (RGF) count in the AD-PPI network is similar to that of the corresponding Scale-Free network. However, based on Graphlet Degree Distribution (GDD), the AD-PPI network has a good match with Geometric random graphs. The graphlet correlation statistics of the AD network show that it has a core-periphery topology. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
dc.identifier.citationSpringer Proceedings in Complexity, 2022, Vol., , p. 527-534
dc.identifier.issn22138684
dc.identifier.urihttps://doi.org/10.1007/978-3-030-99792-2_42
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/29860
dc.publisherSpringer Science and Business Media B.V.
dc.subjectAlzheimer’s disease
dc.subjectGraphlet Correlation Matrix
dc.subjectGraphlets
dc.subjectProtein-protein interaction networks
dc.titleStructure of Protein Interaction Network Associated With Alzheimer’s Disease Using Graphlet Based Techniques

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