کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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5521217 | 1545233 | 2016 | 7 صفحه PDF | دانلود رایگان |
While computational approaches based on chemical structures have been extensively used in drug discovery, drug induced transcriptional responses provide a complementary view of their effects. Network visualizations facilitate the exploration of the chemical space in a comprehensive, integrated view. Systematic approaches can be particularly useful for repositioning drugs acting on the CNS, where polypharmacology, targets promiscuity and pharmacokinetic properties must be finely tuned. Here we present a review of the most recently developed methodologies for comparative structure-based and transcriptomics analyses together with applications to the field of Drug Repositioning. We also show an application example in which we searched for drugs and perturbagens inducing cellular autophagy, a suitable strategy to improve phenotype of neurological diseases.
Journal: Drug Discovery Today: Disease Models - Volume 19, Spring 2016, Pages 11-17