A Brief Survey on Computational Approaches to Reveal Drug and Disease Associations

Title:A Brief Survey on Computational Approaches to Reveal Drug and Disease Associations

Volume: 10 Issue: 2

Author(s): Hsiang-Yuan Yeh, Wei-Chih Lin, Yu-Fen Huang and Von-Wun Soo

Affiliation:

Keywords: Computational biology, drug-disease associations, drug reposition, drug off-target, disease gene, mechanism of action, systems biology, systems pharmacology

Abstract: People worldwide are still threatened by various complex disease phenotypes, especially cancer which is usually caused by the accumulation of multi-factor-driven alterations. Although drugs achieve the therapeutic functions by targeting particular molecular, the therapies used nowadays against diseases are not effective enough due to the limitation of the knowledge about the drug-disease associations. The rapid increasing of the available experimental data and knowledge enable scientists to reveal drug-disease associations by the systematic integration and analysis. In this review, we show that several computational methods can help us to explain the underlying relationships between pharmacology and pathology. It is expected that newer computational methods will take advantage of heterogeneous and multi-dimensional data and increase the efficacy and safety of existing drugs for disease treatment.

Cite this article as:

Yeh Hsiang-Yuan, Lin Wei-Chih, Huang Yu-Fen and Soo Von-Wun, A Brief Survey on Computational Approaches to Reveal Drug and Disease Associations, Current Drug Discovery Technologies 2013; 10 (2) . https://dx.doi.org/10.2174/1570163811310020004