Alaimo Salvatore, Pulvirenti Alfredo
Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Methods Mol Biol. 2019;1903:97-113. doi: 10.1007/978-1-4939-8955-3_6.
The wealth of knowledge and omic data available in drug research allowed the rising of several computational methods in drug discovery field yielding a novel and exciting application called drug repositioning. Several computational methods try to make a high-level integration of all the knowledge in order to discover unknown mechanisms. In this chapter we present an in-depth review of data resources and computational models for drug repositioning.
药物研究中可用的丰富知识和组学数据促使药物发现领域出现了多种计算方法，产生了一种名为药物重新定位的新颖且令人兴奋的应用。几种计算方法试图对所有知识进行高层次整合，以发现未知机制。在本章中，我们对药物重新定位的数据资源和计算模型进行了深入综述。
