Graph Theory Enables Drug Repurposing – How a Mathematical Model Can Drive the Discovery of Hidden Mechanisms of Action

@article{Gramatica2014GraphTE,
  title={Graph Theory Enables Drug Repurposing – How a Mathematical Model Can Drive the Discovery of Hidden Mechanisms of Action},
  author={Ruggero Gramatica and T. Matteo and S. Giorgetti and Massimo Barbiani and D. Bevec and T. Aste},
  journal={PLoS ONE},
  year={2014},
  volume={9}
}
  • Ruggero Gramatica, T. Matteo, +3 authors T. Aste
  • Published 2014
  • Computer Science, Medicine, Biology
  • PLoS ONE
  • We introduce a methodology to efficiently exploit natural-language expressed biomedical knowledge for repurposing existing drugs towards diseases for which they were not initially intended. Leveraging on developments in Computational Linguistics and Graph Theory, a methodology is defined to build a graph representation of knowledge, which is automatically analysed to discover hidden relations between any drug and any disease: these relations are specific paths among the biomedical entities of… CONTINUE READING
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