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Predição de links em Redes de Interação Medicamentosa: Uma Breve Investigação na Detecção de Novas Interações

Authors: Honorato, Alessandra Maldonado; Silva, Luciano Lopes da; Urtado, Melina Boratto; Rodrigues, Rafael Delalibera;

Predição de links em Redes de Interação Medicamentosa: Uma Breve Investigação na Detecção de Novas Interações

Abstract

{"references": ["BLONDEL, V. D. et al. Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, v. 2008, n. 10, p. P10008, 9 out. 2008. DOI: https://doi.org/10.1088/1742-5468/2008/10/P10008.", "BROIDO, A. D.; CLAUSET, A. Scale-free networks are rare. Nature Communications, v. 10, n. 1, p. 1017, 4 mar. 2019. DOI: https://doi.org/10.1038/s41467-019-08746-5.", "CLAUSET, A.; NEWMAN, M. E. J.; MOORE, C. Finding community structure in very large networks. Physical Review E, v. 70, n. 6, 6 dez. 2004. DOI: https://doi.org/10.1103/PhysRevE.70.066111.", "COSTA, L. DA F. et al. Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications. Advances in Physics, v. 60, n. 3, p. 329\u2013412, jun. 2011. DOI: https://doi.org/10.1080/00018732.2011.572452.", "DRUGBANK. DrugBank Release Version 5.1.10. Dispon\u00edvel em: . Acesso em: 4 jan. 2023.", "FRUCHTERMAN, T. M. J.; REINGOLD, E. M. Graph drawing by force-directed placement. Software: Practice and Experience, v. 21, n. 11, p. 1129\u20131164, 1991. DOI: https://doi.org/10.1002/spe.4380211102.", "HONORATO, A. M. et al. Sistema de Consulta de Intera\u00e7\u00f5es Medicamentosas. [s.l.] Zenodo, 29 nov. 2021. DOI: https://doi.org/10.5281/zenodo.6464222. Dispon\u00edvel em: . Acesso em: 18 abr. 2022.", "HONORATO, A. M. et al. Consulta de Intera\u00e7\u00f5es Medicamentosas: Um Sistema Baseado nas Fontes de Dados da ANVISA e KEGG Drug. [s.l.] Zenodo, 4 jul. 2022a. DOI: https://doi.org/10.5281/zenodo.6985279. Dispon\u00edvel em: . Acesso em: 24 ago. 2022.", "HONORATO, A. M. et al. Consulta de Intera\u00e7\u00f5es Medicamentosas: An\u00e1lise de Dados do DrugBank e KEGG Drug para uma Solu\u00e7\u00e3o H\u00edbrida Aprimorada. [s.l.] Zenodo, 5 dez. 2022b. DOI: https://doi.org/10.5281/zenodo.7450117. Dispon\u00edvel em: . Acesso em: 22 fev. 2023.", "JACOMY, M. et al. ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software. PLOS ONE, v. 9, n. 6, p. e98679, 10 jun. 2014. DOI: https://doi.org/10.1371/journal.pone.0098679.", "LU, Y.; GUO, Y.; KORHONEN, A. Link prediction in drug-target interactions network using similarity indices. BMC Bioinformatics, v. 18, n. 1, p. 39, 17 jan. 2017. DOI: https://doi.org/10.1186/s12859-017-1460-z.", "NETWORKX 3.1. Link Prediction \u2014 NetworkX 3.1 Documentation. Dispon\u00edvel em: . Acesso em: 21 abr. 2023.", "NEWMAN, M. E. J. The Structure and Function of Complex Networks. SIAM Review, v. 45, n. 2, p. 167\u2013256, 2003. DOI: https://doi.org/10.1137/S003614450342480.", "NEWMAN, M. E. J. Networks: An Introduction. 1 edition ed. Oxford\u202f; New York: Oxford University Press, 2010.", "NEWMAN, M. E. J.; WATTS, D. J.; BARAB\u00c1SI, A.-L. The Structure and Dynamics of Networks. [s.l.] Princeton University Press, 2013.", "REBAZA, J. C. V. Predi\u00e7\u00e3o de links em redes complexas utilizando informa\u00e7\u00f5es de estruturas de comunidades. text\u2014[s.l.] Universidade de S\u00e3o Paulo, 27 mar. 2013. DOI: https://doi.org/10.11606/D.55.2013.tde-05062013-104308.", "SALIMI, S. Fail Fast. Dispon\u00edvel em: . Acesso em: 7 out. 2022.", "SILVA, V. F. DA. Otimiza\u00e7\u00e3o multin\u00edvel em predi\u00e7\u00e3o de links. text\u2014[s.l.] Universidade de S\u00e3o Paulo, 18 jun. 2018. DOI: https://doi.org/10.11606/D.55.2018.tde-18102018-170343.", "STROGATZ, S. H. Exploring complex networks. Nature, v. 410, n. 6825, p. 268\u2013276, 8 mar. 2001. DOI: https://doi.org/10.1038/35065725."]}

Relatório Técnico-Científico apresentado na disciplina de Projeto Integrador 4 para o curso de Bacharelado em Ciência de Dados da Universidade Virtual do Estado de São Paulo (UNIVESP).

Keywords

Redes complexas, Predição de links, Descoberta de conhecimento, Interações medicamentosas

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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