Áreas de Trabajo
The CompBioLab, headed by Dr. Luis Mendoza focuses in the modeling and simulation of regulatory networks of biological interest.
High throughput technologies have generated vast amounts of biological data, which is usually compiled in the form of specialized databases. Databases, however, are only part-lists that depict a static view of a living organism. But genes, proteins, and metabolites form interconnected pathways, thus creating regulatory networks. If we want to generate an accurate description of living organisms, it is therefore necessary to take into account the properties of these networks, such as their dynamics, topology, redundancy, stability, robustness, and modularity, among others. To achieve such knowledge, it is necessary to integrate biological data into adequate computational and mathematical descriptions that permit the creation of appropriate quantitative and/or qualitative models.
There are many different formalisms that can be used to model regulatory networks, each providing different perspectives of their complexity. In our group, we use an ad hoc mixture of discrete and continuous equations to describe the dynamical properties of biological networks.
Eugenio Azpeitia, Stalin Munoz, Daniel Gonzalez-Tokman, Mariana Esther Martinez-Sanchez, Nathan Weinstein, Aurelien Naldi, Elena ER Alvarez-Buylla, David A Rosenblueth, and Luis Mendoza.
The combination of the functionalities of feedback circuits is determinant for the number and size of attractors of molecular networks.
Scientific Reports 7: 42023
Jennifer Enciso, Hector Mayani, Luis Mendoza, and Rosana Pelayo.
Modeling the pro-inflammatory tumor microenvironment in acute lymphoblastic leukemia predicts a breakdown of hematopoietic-mesenchymal communication networks.
Frontiers in Physiology 7: 349.
Akram Méndez and Luis Mendoza.
A Network Model to Describe the Terminal Differentiation of B Cells.
PLOS Computational Biology 12: e1004696.
Luis Mendoza and Akram Méndez.
A dynamical model of the regulatory network controlling lymphopoiesis.
BioSystems 137: 26-33.
Osiris Ríos, Sara Frías, Alfredo Rodríguez, Susana Kofman, Horacio Merchant, Leda Torres, and Luis Mendoza.
A Boolean network model of human gonadal sex determination.
Theoretical Biology and Medical Modelling 12: 26.