Behavior and Depression Gene Networks Reconstruction and Analysis

R. A. Ivanov, V. I. Zamyatin, A. I. Klimenko, T. N. Astakhova, Y. G. Matushkin, A. N. Savostyanov, S. A. Lashin

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

One of the main interests of modern neurophysiology is aimed at studying biology bases of anxiety and depression. The unsolved problem is complex integration between heredity factors, indexes of the brain electrical activity and psychological traits of people. Neurobiological understanding of this topic is essential not only for identification of genes involved in molecular mechanisms of depression, but also for knowledge of complex relationship of these genes. Research of these interactions could contribute to development of new prevention, diagnosis and treatment methods of depression. In our research, we reconstruct several PPI networks and networks of transcriptional regulation as well, in order to build the model of complex interaction of environmental and heredity factors of vulnerability to depression and other mental disorders. We identify the number of genes, which expression is supposedly related to environmental factors, for further experimental verification.

Original languageEnglish
Title of host publicationSIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages361-365
Number of pages5
ISBN (Electronic)9781728144016
DOIs
Publication statusPublished - Oct 2019
Event2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 - Novosibirsk, Russian Federation
Duration: 21 Oct 201927 Oct 2019

Publication series

NameSIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

Conference

Conference2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019
Country/TerritoryRussian Federation
CityNovosibirsk
Period21.10.201927.10.2019

Keywords

  • depression
  • gene network
  • neurotransmitter
  • SNP

OECD FOS+WOS

  • 1.01 MATHEMATICS
  • 1.02 COMPUTER AND INFORMATION SCIENCES
  • 2.02 ELECTRICAL ENG, ELECTRONIC ENG
  • 1.03 PHYSICAL SCIENCES AND ASTRONOMY
  • 5.09 OTHER SOCIAL SCIENCES

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