Department of Physics and Astronomy, University of Catania, Catania, Italy.
Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy.
Adv Exp Med Biol. 2022;1361:119-141. doi: 10.1007/978-3-030-91836-1_7.
The wealth of knowledge and multi-omics data available in drug research has allowed the rise of several computational methods in the drug discovery field, resulting in a novel and exciting strategy called drug repurposing. Drug repurposing consists in finding new applications for existing drugs. Numerous computational methods perform a high-level integration of different knowledge sources to facilitate the discovery of unknown mechanisms. In this chapter, we present a survey of data resources and computational tools available for drug repositioning.
药物研究中丰富的知识和多组学数据使得几种计算方法在药物发现领域兴起，产生了一种新颖而令人兴奋的策略，称为药物再利用。药物再利用是指为现有药物寻找新的应用。许多计算方法对不同的知识源进行高级别的整合，以促进未知机制的发现。在本章中，我们对可用于药物重定位的现有数据资源和计算工具进行了综述。
