Complex Network Study of the Immune Epitope Database for Parasitic Organisms

Title:Complex Network Study of the Immune Epitope Database for Parasitic Organisms

Volume: 17 Issue: 30

Author(s): Severo Vazquez-Prieto*, Esperanza Paniagua , Hugo Solana and Florencio M. Ubeira

Affiliation:

• Laboratorio de Biologia Celular y Molecular, Centro de Investigacion Veterinaria de Tandil (CIVETAN), CONICET, Facultad de Ciencias Veterinarias, UNCPBA, Tandil,Argentina

Keywords: Network theory, topological indices, B-cells epitopes, Immune Epitope Database, Parasitic organisms, Topological indices.

Abstract: Background: Complex network approach allows the representation and analysis of complex systems of interacting agents in an ordered and effective manner, thus increasing the probability of discovering significant properties of them. 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. In addition, we calculated 9 node centrality measures for observed network and reported a comparative study of the real network with three theoretical models to detect similarities or deviations from these ideal networks.

Result: The results obtained corroborate the utility of the complex network approach for handling information and data mining within the database under study.

Conclusion: They confirm that this type of approach can be considered a valuable tool for preliminary screening of the best experimental conditions to determine whether the amino acid sequences being studied are true epitopes or not.

Cite this article as:

Vazquez-Prieto Severo *, Paniagua Esperanza , Solana Hugo and Ubeira M. Florencio, Complex Network Study of the Immune Epitope Database for Parasitic Organisms, Current Topics in Medicinal Chemistry 2017; 17 (30) . https://dx.doi.org/10.2174/1568026618666171211150605