Abstract
In 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.
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Acknowledgements
This work was supported by Grants GPC2014/058 from the Xunta de Galicia and AGL2011-30563-C03 from the Ministerio de Ciencia e Innovación, Spain. S.V.P. is supported by a postdoctoral fellowship from Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina.
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Vázquez-Prieto, S., Paniagua, E., Solana, H. et al. A study of the Immune Epitope Database for some fungi species using network topological indices. Mol Divers 21, 713–718 (2017). https://doi.org/10.1007/s11030-017-9749-4
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DOI: https://doi.org/10.1007/s11030-017-9749-4