In Silico Pleiotropy Analysis in KEGG Signaling Networks Using a Boolean Network Model.

ABSTRACT: 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 pleiotropy on gene-gene dynamics, since most previous studies have been based on correlation analysis. Therefore, a new perspective is needed to investigate pleiotropy in terms of gene-gene dynamical characteristics. To quantify pleiotropy in terms of network dynamics, we propose a measure called in silico Pleiotropic Scores (sPS), which represents how much a gene is affected against a pair of different types of mutations on a Boolean network model. We found that our model can identify more candidat

SUBMITTER: Mazaya M 

PROVIDER: S-EPMC9406064 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature