Network Analysis of Proteins Associated with Schizophrenia
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127837" target="_blank" >RIV/00216305:26220/18:PU127837 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
čeština
Original language name
Network Analysis of Proteins Associated with Schizophrenia
Original language description
The aim of this study is a network analysis of proteins ADRA1A, DRD1, DRD2 and HTR2A associated with a schizophrenia disease. By random graph analysis, all researched proteins were evaluated as significant. Using Cytoscape software, significant DPI (drug-protein interactions), PPI (protein-protein interactions) and pathways were revealed. By historeceptomics analysis, significant regions in amygdala, smooth muscle or spinal cord and prefrontal cortex were identified. The acquired knowledge can contribute to further research in the development of multitarget drugs against schizophrenia disease.
Czech name
Network Analysis of Proteins Associated with Schizophrenia
Czech description
The aim of this study is a network analysis of proteins ADRA1A, DRD1, DRD2 and HTR2A associated with a schizophrenia disease. By random graph analysis, all researched proteins were evaluated as significant. Using Cytoscape software, significant DPI (drug-protein interactions), PPI (protein-protein interactions) and pathways were revealed. By historeceptomics analysis, significant regions in amygdala, smooth muscle or spinal cord and prefrontal cortex were identified. The acquired knowledge can contribute to further research in the development of multitarget drugs against schizophrenia disease.
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 24rd Conference STUDENT EEICT 2018
ISBN
978-80-214-5614-3
ISSN
—
e-ISSN
—
Number of pages
3
Pages from-to
273-275
Publisher name
Neuveden
Place of publication
Brno
Event location
Brno
Event date
Apr 26, 2018
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
—