Analysis of Protein–Protein Functional Associations by Using Gene Ontology and KEGG Pathway.
Protein–protein interaction (PPI) plays an extremely remarkable role in the growth, reproduction, and metabolism of all lives. A thorough investigation of PPI can uncover the mechanism of how proteins express their functions. In this study, we used gene ontology (GO) terms and biological pathways to...
| Publicado en: | BioMed Research International pp. 1 - 11 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
7/18/2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137567754&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137567754 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 7/18/2019 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 137567754 137567754 137567754 10.1155/2019/4963289 137567754 ppf: 1 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Analysis of Protein–Protein Functional Associations by Using Gene Ontology and KEGG Pathway. aug: au: Yuan, Fei Pan, Xiaoyong Chen, Lei Zhang, Yu-Hang Huang, Tao Cai, Yu-Dong affil: Department of Science & Technology, Binzhou Medical University Hospital, Binzhou 256603, Shandong, China sug: subj: Proteins Analysis Signal Transduction Genetic Techniques Biochemical Phenomena Ontologies Human Gene Expression Profiling ab: Protein–protein interaction (PPI) plays an extremely remarkable role in the growth, reproduction, and metabolism of all lives. A thorough investigation of PPI can uncover the mechanism of how proteins express their functions. In this study, we used gene ontology (GO) terms and biological pathways to study an extended version of PPI (protein–protein functional associations) and subsequently identify some essential GO terms and pathways that can indicate the difference between two proteins with and without functional associations. The protein–protein functional associations validated by experiments were retrieved from STRING, a well-known database on collected associations between proteins from multiple sources, and they were termed as positive samples. The negative samples were constructed by randomly pairing two proteins. Each sample was represented by several features based on GO and KEGG pathway information of two proteins. Then, the mutual information was adopted to evaluate the importance of all features and some important ones could be accessed, from which a number of essential GO terms or KEGG pathways were identified. The final analysis of some important GO terms and one KEGG pathway can partly uncover the difference between proteins with and without functional associations. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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