Protein Clustering and Interactome Analysis in Parkinson and Alzheimer's Diseases.
Background: Alzheimer and Parkinson diseases (AD and PD) are the two most important neurodegenerative disorders. This paper aims to determine the possible molecular linkage between these two common neurodegenerative diseases by a combination of computational investigations. Methods: According to our...
| Published in: | Archives of Iranian Medicine (AIM) Vol. 19; no. 2; pp. 101 - 110 |
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| Main Authors: | , , , , , |
| Format: | research tables/charts Journal Article |
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Academy of Medical Sciences of I.R. Iran
Feb2016
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=112844979&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 112844979 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10292977 5DHN jtl: Archives of Iranian Medicine (AIM) issn: 10292977 maglogo: N pubinfo: dt: Feb2016 vid: 19 iid: 2 pid: 42042 pub: Academy of Medical Sciences of I.R. Iran place: , <Blank> artinfo: ui: 112844979 112844979 112844979 112844979 ppf: 101 ppct: 9 formats: tig: atl: Protein Clustering and Interactome Analysis in Parkinson and Alzheimer's Diseases. aug: au: Rezaei-Tavirani, Mostafa Zamanian-Azodi, Mona Rajabi, Sepideh Masoudi-Nejad, Ali Rostami-Nejad, Mohammad Rahmatirad, Sara affil: Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran sug: subj: Parkinson Disease Physiopathology Alzheimer's Disease Physiopathology Proteins Physiology Proteomics Bioinformatics Programming Languages Databases Apoptosis Mitochondria Models, Statistical ab: Background: Alzheimer and Parkinson diseases (AD and PD) are the two most important neurodegenerative disorders. This paper aims to determine the possible molecular linkage between these two common neurodegenerative diseases by a combination of computational investigations. Methods: According to our aim, common sets of identified proteins from the KEGG database were further analyzed based on Gene Ontology (GO) annotation and sequence similarities by the agglomerative hierarchical clustering. Proteins possessing same characteristics were categorized based on biological features in distinct clusters using the R programming software. In addition to this, by the use of DAVID Program and PPI network analysis, more insight can be achieved. Results: The results of this study indicated that 23 proteins are common between these two diseases. Their ontology evaluations by application of clustering methods showed that proteins belonging to a specific cluster indicate discrete properties that are different from other clusters. Furthermore, PPI network analysis confirms that the proteins with similarity ontology and sequence are also in close relationship. Conclusion: In conclusion, assessment of protein features supported the idea that mitochondria are the main malfunction compartment in AD and PD. Some of these common properties are apoptosis and mitochondria oxidation pathways that can be used for drug targeting. Moreover, examination of other neurodegenerative diseases can be helpful for comprehensive understanding of the origin of these diseases. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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