Comparing Probabilistic and Logic Programming Approaches to Predict the Effects of Enzymes in a Neurodegenerative Disease Model.

The impact of a given treatment over a disease can be modeled by measuring the action of genes on enzymes, and the effect of perturbing these last over the optimal biomass production of an associated metabolic network. Following this idea, the relationship between genes and enzymes can be established using signaling and regulatory networks. These networks can be modeled using several mathematical paradigms, such as Boolean or Bayesian networks, among others.