Vol. 25 No. 3 (2015): Edição Especial - V Animal Lab
Resumo Expandido - Artigos Originais

REDUCTION IN THE UTILIZATION OF ANIMALS THROUGH BIOINFORMATICS: IN-SIL/ CO TECHNIQUES POINT TOWARDS MOLECULAR TARGETS

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  • Christina Pacheco,
  • Stela Mirla da Silva Felipe,
  • Francisco Sérgio Vasconcelos Filho,
  • Luiz Henrique Pontes dos Santos,
  • Felipe Carmo de Moura,
  • Juliana Osório Alves,
  • Adriano Nogueira de Queiroz,
  • Vânia Marilande Ceccatto
Christina Pacheco
Universidade Estadual do Ceará - UECE
Stela Mirla da Silva Felipe
Universidade Estadual do Ceará - UECE
Francisco Sérgio Vasconcelos Filho
Universidade Estadual do Ceará - UECE
Luiz Henrique Pontes dos Santos
Universidade Estadual do Ceará - UECE
Felipe Carmo de Moura
Universidade Estadual do Ceará - UECE
Juliana Osório Alves
Universidade Estadual do Ceará - UECE
Adriano Nogueira de Queiroz
Universidade Estadual do Ceará - UECE
Vânia Marilande Ceccatto
Universidade Estadual do Ceará - UECE

Published 2024-09-26

Keywords

  • physical exercise-disease interactions,
  • bioinformatics,
  • molecular targets

How to Cite

PACHECO, C.; FELIPE, S. M. da S.; VASCONCELOS FILHO, F. S.; SANTOS, L. H. P. dos; MOURA, F. C. de; ALVES, J. O.; QUEIROZ, A. N. de; CECCATTO, V. M. REDUCTION IN THE UTILIZATION OF ANIMALS THROUGH BIOINFORMATICS: IN-SIL/ CO TECHNIQUES POINT TOWARDS MOLECULAR TARGETS. Ciência Animal, [S. l.], v. 25, n. 3, p. 50–53, 2024. Disponível em: https://revistas.uece.br/index.php/cienciaanimal/article/view/13909. Acesso em: 31 jan. 2026.
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Model animais are indispensable in the advancement of life sciences. Computational analyses can save time and reduce the number of animais needed. Bioinformatics offer toais that support research through in-si/ico evaluations. Our aim was to study the function of exercise-linked genes, focusing on disease pathways, envisaging the discovery of new molecular targets for the use in animal model studies. This research was part of two projects approved by the local Ethics Committee (CEUA/UECE) in 04/2014 (1592060/2014) and 07/2015 (2542310/2015). Human genes linked to physical exercise were classified by the pathways using the enrichment toai Enrichnet. Statistical analyses (ANOVA) were used using the Fisher test (q-value). Strong correlations were found with neurodegenerative, cardiovascular and immunologic diseases. Within neurodegenerative diseases, physical exercise was found to be linked to Parkinson's (q-value 1.6 X10- 17), Alzheimer's (q-value 3.9 X10-16) and Huntington disease (q-value 1.9 X10- 15). Within cardiovascular diseases linked to exercise there is hypertrophic cardiomyopathy (q-value 8.5 X10-15). A large number of genes linked to exercise were found to participate in disease linked metabolic pathways. Concluding, after evaluating genes linked to physical exercise and disease pathways, new molecular targets for the use in model animal studies were revealed.

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