On the mathematical modeling of the biochemical network that describes the molecular interaction between dendritic cell receptors and the mannose ligand of mycobacterium tuberculosis
Main Article Content
Keywords
Tuberculosis, Dendritic cells, Mycobacterium tuberculosis, ligands, receptors, mathematical modeling
Abstract
At global level, tuberculosis (TB) is considered a disease of great importance in public health with high incidence and mortality rates. Mathematical modeling in the CD-Mtb complex (Dentritic cells-Mycobacterium tuberculosis) has not been studied a lots, above represents a research problem that can be addressed with current advances on modeling at molecular scales, being "the receptor-ligand model with representation of states "the most recommended to address biding dynamics. Additionally, the importance of studies in this field lies in the prediction that would allow modeling in association with the development of an active or latent TB stage. Taking into account the above, this research focused on determining the main receptors that are coupled with the mannose ligand in the molecular recognition process, in addition to formulating, based on the available literature, a biochemical network that couples the molecular interaction between the dendritic cells and the pathogen Mtb in the signaling pathways involving recognition of mannose by dendritic cell receptors (DC-SIGN, TLR4, de TLR9, TLR2, MR, Dectin-2, Mincle, FcRy, Dectin-1, SIGNR -3, CR3, SR, Langerin). It is expected that from this network, mathematical models will be developed through systems of differential equations. This modeling will allow the manipulation of variables and parameters, in order to answer questions about the possible interactions mediated between twelve cell receptors and the mannose ligand.
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