2020/01/17 by Honeylou F. Farinas, Eduardo Mendoza, Farinas, Honeylou F. +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Drug Discovery Methods #FOS: Biological sciences #Gene Regulatory Network Analysis #Molecular Networks (q-bio.MN) #RNA and protein synthesis mechanisms
paper · pdf · doi:10.48550/arxiv.2001.07702
openalex publication_date 2020/01/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Magombedze and Mulder in 2013 studied the gene regulatory system of Mycobacterium Tuberculosis (Mtb) by partitioning this into three subsystems based on putative gene function and role in dormancy/latency development. Each subsystem, in the form of S-system, is represented by an embedded chemical reaction network (CRN), defined by a species subset and a reaction subset induced by the set of digraph vertices of the subsystem. For the embedded networks of S-system, we showed interesting structural properties and proved that all S-system CRNs (with at least two species) are discordant. Analyzing the subsystems as subnetworks, where arcs between vertices belonging to different subsystems are retained, we formed a digraph homomorphism from the corresponding subnetworks to the embedded networks. Lastly, we explored the modularity concept of CRN in the context of digraph.