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

A study of the Immune Epitope Database for some fungi species using network topological indices 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Molecular Diversity Springer Journals

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

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Publisher
Springer International Publishing
Copyright
Copyright © 2017 by Springer International Publishing Switzerland
Subject
Life Sciences; Biochemistry, general; Organic Chemistry; Polymer Sciences; Pharmacy
ISSN
1381-1991
eISSN
1573-501X
D.O.I.
10.1007/s11030-017-9749-4
Publisher site
See Article on Publisher Site

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