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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Bioinformatic analysis using complex networks and clustering proteins involved with Alzheimer's disease.

Rujirapapipat, Suthinan, McGarry, Kenneth and Nelson, David (2016) Bioinformatic analysis using complex networks and clustering proteins involved with Alzheimer's disease. In: 16th UK Workshop on Computational Intelligence, UKCI-2016, 7-9 Sep 2016, Lancaster University.

Item Type: Conference or Workshop Item (Paper)

Abstract

The detection of protein complexes is an important research problem in bioinformatics, which may help increase our understanding of the biological functions of proteins inside our body. Moreover, new discoveries obtained from identification of protein complexes may be considered important for therapeutic purposes. Several proteins linked with Alzheimer’s disease were investigated. By observing the connectivity between proteins using computational methods such as graph theory and clustering, we can uncover previously unknown relationships that are useful for potential knowledge discovery. Furthermore, we demonstrate how Markov Clustering (MCL) and the Molecular Complex Detection (MCODE) algorithm identify interesting patterns from the protein-protein interaction data related to Alzheimer’s disease.

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Additional Information: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-46562-3
Related URLs:
Depositing User: Kenneth McGarry

Identifiers

Item ID: 6502
URI: http://sure.sunderland.ac.uk/id/eprint/6502
Official URL: http://wp.lancs.ac.uk/ukci2016/

Users with ORCIDS

ORCID for Kenneth McGarry: ORCID iD orcid.org/0000-0002-9329-9835

Catalogue record

Date Deposited: 10 Aug 2016 13:33
Last Modified: 18 Dec 2019 15:39

Contributors

Author: Kenneth McGarry ORCID iD
Author: Suthinan Rujirapapipat
Author: David Nelson

University Divisions

Faculty of Technology
Faculty of Technology > School of Computer Science

Subjects

Computing > Artificial Intelligence
Sciences > Health Sciences

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