Relative importance of composition structures and biologically meaningful logics in bipartite Boolean models of gene regulation.

ABSTRACT: Boolean networks have been widely used to model gene networks. However, such models are coarse-grained to an extent that they abstract away molecular specificities of gene regulation. Alternatively, bipartite Boolean network models of gene regulation explicitly distinguish genes from transcription factors (TFs). In such bipartite models, multiple TFs may simultaneously contribute to gene regulation by forming heteromeric complexes, thus giving rise to composition structures. Since bipartite Boolean models are relatively recent, an empirical investigation of their biological plausibility is lacking. Here, we estimate the prevalence of composition structures arising through heteromeric complexes. Moreover, we present an additional mechanism where composition structures may arise as a result

SUBMITTER: Yadav Y 

PROVIDER: S-EPMC9616893 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature