A study of the Immune Epitope Database for some fungi species using network topological indices

VÁZQUEZ PRIETO, SEVERO; UBEIRA, FLORENCIO; SOLANA, HUGO; PANIAGUA, ESPERANZA; GONZÁLEZ DIAZ, HUMBERTO

MOLECULAR DIVERSITY

SPRINGER

Lugar: Berlin; Año: 2017 vol. 12 p. 713 - 718

1381-1991

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.Network theory is useful for representing and analyzing complex systems of interacting agents. In the present study, we defined and built for the first time a complex network based on data obtained from immune epitope database for parasitic organisms. We then considered the general topology, the node degree distribution, and the local structure (triadic census) of this network. We also compared the real network with three theoretical models. The results show that Topological Indices (TIs) are promising indices of general use at different structural organization levels, allowing the rapid collection, annotation, retrieval, comparison and mining of different structures within large databases.Electronic supplementary material The online version of this article (doi: 10.1007/s11030-017-9749-4 ) contains supplementary material, which is available to authorized users.