Associação entre horas de sono, fatores demográficos antropométricos e dietéticos de crianças e adolescentes de uma escola do Sul do Brasil

Authors

  • Cristiane Kich Schinader
  • Juliana Rombaldi Bernardi
  • Gabriela Possa

Abstract

Association among sleep hours, demographic, anthropometric and dietary factors of children and adolescents from a school in the South of Brazil

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References

ABADIO, A. K.; KIOSHIMA, E.; TEIXEIRA, M.; MARTINS, N.; MAIGRET, B. FELIPE, M. S. Comparative genomics allowed the identification of drug targets against human fungal pathogens. BMC Genomics, 12(1):75, 2011.

BELLOZE KT; Priorização de alvos para fármacos no combate a doenças tropicais negligenciadas por protozoários. Instituto Oswaldo Cruz, Rio de Janeiro, 27 de set, 2013.

BAKHEET, T. M.; DOIG A. J; Properties and identification of human protein drug targets. Bioinformatics. 2009 Feb 15;25(4):451-7. Epub.Jan 21, 2009.

BERRIMAN, M.; et. al.The genome of the blood fluke schistosoma mansoni. Nature, 460 (7253):352–358, 2009.

CHEN, W. H., MINGUEZ, P., et al. "OGEE: an online gene essentiality database." Nucleic Acids Res 40(Database issue): D901-906. 2012.

FAUMAN, E. B.; RAI, B. K.; HUANG, E. S. Structure-based druggability assessment — identifying suitable targets for small molecule therapeutics. Chemical biology ; June, 2011.

FAN W.; CONG M.; CHEEMENG T.; Network motifs modulate druggability of cellular targets Sci Rep. ; 6: 36626. Published online Nov 8, 2016.

FLICEK P., AHMED I., et al. "Ensembl 2013." Nucleic Acids Res 41(Database issue): D48-55, 2013.

FILHO, O. A. S.; ALENCASTRO, R. B. Modelagem de proteínas por homologia. Quím. Nova vol.26 no.2 São Paulo Mar./ Apr. 2003.

GASHAW I; ELLINGHAUS P; SOMMER A; and ASADULLAH K. What makes a good drug target? Drug Discovery Today _ Volume 16, Numbers 23/24 _ December 2011.

GEYER, J. A.; PRIGGE, S. T. WARERS, N. C. Targeting malaria with specific cdk inhibitors. Biochimica et Biophysica Acta - Proteins and Proteomics, 1754(1,2):160– 170, 2005.

GRUBER, T.; Ontology by in the Encyclopedia of Database Systems, Ling Liu and M. Tamer Özsu (Eds.), Springer-Verlag, 2009.

GAULTON, A.; et al, ChEMBL: a large-scale bioactivity database for drug discovery Nucleic Acids Res. Jan; 40(Database issue): D1100–D1107, 2012.

HARLAND L, GAULTON A. A Expert Opin Drug Discov. Drug target central.

Aug;4(8):857-72, 2009.

HUGHES JP, REES S, KALINDJIAN SB, PHILPOTT KL; Br J Pharmacol. Principles of early drug Discovery; 162(6): 1239–1249, Mar 2011.

HUTHMACHER, C.; HOPPE, A.; BULIK, S.; HOLZHUTTER, H.G. Antimalarial drug targets in plasmodium falciparum predicted by stage-specific metabolic network analysis. BMC Systems Biology, 4(1):120, 2010.

JANGA, S. C.; TZAKOS, A. Structure and organization of drug-target networks: insights from genomic approaches for drug discovery. Em Molecuar BioSystems. RSCPublishing, 2009.

METZGER I. F.; DEBORA C.; COSTA, S.; SANTOS, J. E. T.; Farmacogenética: princípios, aplicações e perspectivas; Medicina, Ribeirão Preto, simpósio: Farmacogenética39 (4): 515-21, out./dez. 2006

KATHRYN, A. L.; LIN, A.; CHENG A. C.; Structure-Based Druggability Assessment of the Mammalian Structural Proteome with Inclusion of Light Protein Flexibility. Computational Biology. Vol. 10. 1 July, 2014.

KELLER TH; PICHOTA A, YIN Z. A practical view of ‘druggability’ Current Opinion in Chemical Biology, 10:357–361, 2006.

KOONIN, E. V.; Orthologs, paralogs, and evolutionary genomics. Annu Rev Genet.;39:309-38, 2005.

KNOX, C., LAW, V., et al. (2011). "DrugBank 3.0: a comprehensive resource for 'omics' research on drugs." Nucleic Acids Res 39(Database issue): D1035-1041.

LIU, T., LIN, Y., et al. "BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities." Nucleic Acids Res 35(Database issue): D198-201. 2007.

NIH- National Institutes of Health. Turning Discovery Into Health®, 9000 Rockville Pike, Bethesda, Maryland 20892. Acesso em 2017.

OLIVA, G.; Bioinformática: Perspectivas na Medicina Bioinformática: Perspectivas na Medicina. Gazeta Médica da Bahia, (Suplemento 1):52-58, 2008.

RAMAN B., ITO I., STOPFER M. Bilateral olfaction: two is better than one for navigation. Genome Biol. 9(3): 212.,2008.

RODRIGUES, R. P.; MANTOANI, S. P.; ALMEIDA, J. R.; PINSETTA, F. R.;

SEMIGHINI, E. P.; SILVA, V. B.; SILVA, C. H. P. Estratégias de Triagem Virtual no Planejamento de Fármacos Rev. Virtual Quim., 4 (6), 739-776. 24 de dezembro, 2012.

SANTOS, E. C.; Mineração de dados usando álgebra linear para predição de alvos drogáveis. Tese. Universidade Federal de Minas Gerais. BH, 2012.

SILVEIRA, N. J. F; Bioinformática Estrutural Aplicada ao Estudo de Proteínas Alvo do Genoma do Mycobacterium tuberculosis. Tese de Doutorado. Universidade Estadual Paulista “Julio de Mesquita Filho” – UNESP; SP, 2005.

SCHMIDTKE, P.; BARRIL X.; Understanding and predicting druggability. A high-throughput method for detection of drug binding sites. J Med Chem. 12;53(15):5858-67. Aug, 2010.

U.S. National Library of Medicine. Clinical Trials. This page last reviewed in January 2017.

WYATT, P. G.; GILBERT. I. H.; READ, K. D.; FAIRLAMB, A. H. Target Validation: Linking Target and Chemical Properties to Desired Product Profile. Curr Top Med Chem.; 11(10): 1275–1283, May 2011.

ZHAO, S.; LI, S. Network-based relating pharmacological and genomic spaces for drug target identification. PLoS ONE, 5(7):e11764, 2010.

ZHU, F. SHI, Z., et al. "Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery." Nucleic Acids Res 40(Database issue): D1128-1136, 2012.

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Published

2018-07-05

Issue

Vol. 20 No. 1 (2018)

Section

Artigos originais

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How to Cite

1.
Associação entre horas de sono, fatores demográficos antropométricos e dietéticos de crianças e adolescentes de uma escola do Sul do Brasil. RBPS [Internet]. 2018 Jul. 5 [cited 2026 Jun. 24];20(1):14-22. Available from: https://periodicos.ufes.br/rbps/article/view/20604

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