کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5521069 | 1401246 | 2017 | 13 صفحه PDF | دانلود رایگان |
- Conceptual foundations of the drug repurposing paradigm are reviewed.
- Description of the technological trends behind the raise of in silico repurposing.
- The different classes of in silico repurposing algorithms are reviewed.
- A modular description of the key steps of the in silico repurposing is presented.
Here, we provide a comprehensive overview of the current status of in silico repurposing methods by establishing links between current technological trends, data availability and characteristics of the algorithms used in these methods. Using the case of the computational repurposing of fasudil as an alternative autophagy enhancer, we suggest a generic modular organization of a repurposing workflow. We also review 3D structure-based, similarity-based, inference-based and machine learning (ML)-based methods. We summarize the advantages and disadvantages of these methods to emphasize three current technical challenges. We finish by discussing current directions of research, including possibilities offered by new methods, such as deep learning.
Journal: Drug Discovery Today - Volume 22, Issue 2, February 2017, Pages 210-222