From a network medicine perspective, diseases arecaused by perturbations in the dynamics of multiple interactinggenes - a disease module. A drug that is a suitable candidatefor re-purposing, should affect perturbed disease modules otherthan the one for which it was designed. In other words, itmust act on various disease modules. A systematic analysisof re purposing suitability requires deeper understanding ofdrug target modularity. In this paper, we present a large-scaleanalysis of drug-target relationships, evaluating the locality ofdrug targets in protein-protein interaction networks. We showthat the various drugs in each category affect different regions inbiological networks, and present modular features. Additionally,multiple targets associated to the same drug appear close in theinteractome. Our statistical analysis of the functions of the knowndrug targets reveals that peripheral functions of disease modules,such as signalling, are common targets for many drugs.
|Title of host publication||AGRANDA - Simposio Argentino de GRANdes DAtos 2017|
|Publication status||Published - Sep 2017|