Systems Pharmacology studies are becoming an increasingly important approach in understanding complex diseases which cannot be fully understood by analysing isolated targets or molecular pathways.
Systems Pharmacology for effIcient Drug Development On R (SPIDDOR), is a methodology to perform Boolean modelling and simulation in the area of Systems Pharmacology and is implemented in R.
SPIDDOR enables (i) model implementation, (ii) simulation of activation profiles of the nodes, (iii) attractor analysis, (iv) a system perturbation and clustering analysis, and (v) convenient graphical summary/display of results.
When quantitative and longitudinal data are scarce, we use a semi-quantitative framework useful to answer drug development questions as target relevance, patient stratification and explorations of beneficial therapeutic combinations.
SP models can be viewed as networks models representing potential pharmacological-target systems as a function of their key elements (genes, proteins or metabolites) denoted by nodes and their interactions.
Ruiz-Cerdá et al. Eur J Pharm Sci (2016)
Quantitative Systems Pharmacology
Quantitative description of the longitudinal profiles in complex biological networks allows more precise answers than network based models. Decisions about dosing, required target engagement or formulation requirements can be supported by these models.
Likewise this fully quantitative approach admits a rigorous sensitivity analysis to detect most relevant processes and its relationship with proposed surrogate biomarkers.