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A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The WarburQ effect., , , , , , , , and . PLoS Comput. Biol., (2017)Machine Learning for Efficient Prediction of Protein Redox Potential: The Flavoproteins Case., , , , , and . J. Chem. Inf. Model., 62 (19): 4748-4759 (2022)Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity., , , , , , , and . PDP, page 185-192. IEEE, (2023)Integration of Single-Cell RNA-Sequencing Data into Flux Balance Cellular Automata., , , , , , , and . CIBB, volume 12313 of Lecture Notes in Computer Science, page 207-215. Springer, (2019)GPRuler: Metabolic gene-protein-reaction rules automatic reconstruction., , and . PLoS Comput. Biol., (2021)An Efficient Implementation of Flux Variability Analysis for Metabolic Networks., and . WIVACE, volume 1780 of Communications in Computer and Information Science, page 58-69. Springer, (2022)Information Transfer among Coupled Random Boolean Networks., , , , and . ACRI, volume 6350 of Lecture Notes in Computer Science, page 1-11. Springer, (2010)Constraint-Based Modeling and Simulation of Cell Populations., , , , and . WIVACE, volume 708 of Communications in Computer and Information Science, page 126-137. (2016)The role of backward reactions in a stochastic model of catalytic reaction networks., , , , and . ECAL, page 793-801. MIT Press, (2013)Best Practices in Flux Sampling of Constrained-Based Models., , and . LOD (2), volume 13811 of Lecture Notes in Computer Science, page 234-248. Springer, (2022)