Complex network study of the immune epitope database for parasitic organisms
| Autor: | Esperanza Paniagua, Severo Vázquez-Prieto, Florencio M. Ubeira, H. Solana |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Databases Factual Computer science Complex system IMMUNE EPITOPE DATABASE Network theory computer.software_genre Epitopes 03 medical and health sciences Drug Discovery Animals Data Mining Parasites Amino Acid Sequence Representation (mathematics) Database Node (networking) General Medicine Complex network Degree distribution PARASITIC ORGANISMS B-CELLS EPITOPES 030104 developmental biology Ciencias de la Computación e Información Neural Networks Computer General topology Centrality NETWORK THEORY TOPOLOGICAL INDICES computer Ciencias de la Información y Bioinformática CIENCIAS NATURALES Y EXACTAS |
| Popis: | Background: Complex network approach allows the representation and analysis of complexsystems of interacting agents in an ordered and effective manner, thus increasing the probability of discoveringsignificant properties of them. In the present study, we defined and built for the first time acomplex network based on data obtained from Immune Epitope Database for parasitic organisms. Wethen 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 reporteda comparative study of the real network with three theoretical models to detect similarities or deviationsfrom these ideal networks.Result: The results obtained corroborate the utility of the complex network approach for handling informationand data mining within the database under study.Conclusion: They confirm that this type of approach can be considered a valuable tool for preliminaryscreening of the best experimental conditions to determine whether the amino acid sequences beingstudied are true epitopes or not. Fil: Vázquez Prieto, Severo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigación Veterinaria de Tandil. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigación Veterinaria de Tandil. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Centro de Investigación Veterinaria de Tandil; Argentina Fil: Paniagua Crespo, María Esperanza. Universidad de Santiago de Compostela; España Fil: Solana, Hugo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigación Veterinaria de Tandil. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigación Veterinaria de Tandil. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Centro de Investigación Veterinaria de Tandil; Argentina Fil: Ubeira, Florencio. Universidad de Santiago de Compostela; España |
| Databáze: | OpenAIRE |
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