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dc.contributor.authorVázquez-Prieto S.
dc.contributor.authorPaniagua E.
dc.contributor.authorSolana H.
dc.contributor.authorUbeira F.M.
dc.contributor.authorGonzález-Díaz H.
dc.date.accessioned2020-09-02T22:30:31Z
dc.date.available2020-09-02T22:30:31Z
dc.date.issued2017
dc.identifier10.1007/s11030-017-9749-4
dc.identifier.citation21, 3, 713-718
dc.identifier.issn13811991
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6621
dc.descriptionIn the last years, the encryption of system structure information with different network topological indices has been a very active field of research. In the present study, we assembled for the first time a complex network using data obtained from the Immune Epitope Database for fungi species, and we then considered the general topology, the node degree distribution, and the local structure of this network. We also calculated eight node centrality measures for the observed network and compared it with three theoretical models. In view of the results obtained, we may expect that the present approach can become a valuable tool to explore the complexity of this database, as well as for the storage, manipulation, comparison, and retrieval of information contained therein. © 2017, Springer International Publishing Switzerland.
dc.language.isoen
dc.publisherSpringer International Publishing
dc.subjectB-cells epitopes
dc.subjectNetwork theory
dc.subjectTopological indices
dc.subjectepitope
dc.subjectepitope
dc.subjectArticle
dc.subjectdata base
dc.subjectfungus
dc.subjectImmune Epitope Database
dc.subjectinformation processing
dc.subjectinformation retrieval
dc.subjectinformation storage
dc.subjectnonhuman
dc.subjectpriority journal
dc.subjectartificial neural network
dc.subjectdata mining
dc.subjectfactual database
dc.subjectfungus
dc.subjecthuman
dc.subjectimmunology
dc.subjecttheoretical model
dc.subjectData Mining
dc.subjectDatabases, Factual
dc.subjectEpitopes
dc.subjectFungi
dc.subjectHumans
dc.subjectModels, Theoretical
dc.subjectNeural Networks (Computer)
dc.titleA study of the Immune Epitope Database for some fungi species using network topological indices
dc.typeArticle


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