Cargando…
In Silico Pleiotropy Analysis in KEGG Signaling Networks Using a Boolean Network Model
Pleiotropy, which refers to the ability of different mutations on the same gene to cause different pathological effects in human genetic diseases, is important in understanding system-level biological diseases. Although some biological experiments have been proposed, still little is known about plei...
Autores principales: | Mazaya, Maulida, Kwon, Yung-Keun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406064/ https://www.ncbi.nlm.nih.gov/pubmed/36009032 http://dx.doi.org/10.3390/biom12081139 |
Ejemplares similares
-
Construction and analysis of gene-gene dynamics influence networks based on a Boolean model
por: Mazaya, Maulida, et al.
Publicado: (2017) -
Effects of ordered mutations on dynamics in signaling networks
por: Mazaya, Maulida, et al.
Publicado: (2020) -
Analysis of feedback loops and robustness in network evolution based on Boolean models
por: Kwon, Yung-Keun, et al.
Publicado: (2007) -
KEGGconverter: a tool for the in-silico modelling of metabolic networks of the KEGG Pathways database
por: Moutselos, Konstantinos, et al.
Publicado: (2009) -
Properties of Boolean dynamics by node classification using feedback loops in a network
por: Kwon, Yung-Keun
Publicado: (2016)