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.
Canela-Perez, I; Lopez-Villasenor, I; Mendoza, L; Cevallos, AM; Hernandez, R
Nuclear localization signals in trypanosomal proteins
Molecular and Biochemical Parasitology 229:15-23 F.I. 2.158
Rodriguez, A; Naveja, JJ; Torres, L; de Teresa, BG; Juarez-Figueroa, U; Ayala-Zambrano, C; Azpeitia, E; Mendoza, L; Frias, S
WIP1 Contributes to the Adaptation of Fanconi Anemia Cells to DNA Damage as Determined by the Regulatory Network of the Fanconi Anemia and Checkpoint Recovery Pathways
Frontiers in Genetics 0.702083333333333 F.I. 3.517
Liquitaya-Montiel, AJ; Mendoza, L.
Dynamical Analysis of the Regulatory Network Controlling Natural Killer Cells Differentiation.
Front Physiol. (2018), 9:1029. FI. 3.594
Carlos Ramírez and Luis Mendoza
Phenotypic stability and plasticity in GMP-derived cells as determined by their undelying regulatory network
Bioinformatics 34: 1174-1182
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. DOI: 10.1038/srep42023