Boolean Modeling of Biological Network Applied to Protein-Protein Interaction Network of Autism Patients.

ABSTRACT: Cellular molecules interact with one another in a structured manner, defining a regulatory network topology that describes cellular mechanisms. Genetic mutations alter these networks' pathways, generating complex disorders such as autism spectrum disorder (ASD). Boolean models have assisted in understanding biological system dynamics since Kauffman's 1969 discovery, and various analytical tools for regulatory networks have been developed. This study examined the protein-protein interaction network created in our previous publication of four ASD patients using the SPIDDOR R package, a Boolean model-based method. The aim is to examine how patients' genetic variations in INTS6L, USP9X, RSK4, FGF5, FLNA, SUMF1, and IDS affect mTOR and Wnt cell signaling convergence. The Boolean network analysi

SUBMITTER: Nezamuldeen L 

PROVIDER: S-EPMC11352122 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature