Explore chapters and articles related to this topic
Using artificial intelligence methods to speed up drug discovery
Published in Expert Opinion on Drug Discovery, 2019
Óscar Álvarez-Machancoses, Juan Luis Fernández-Martínez
Fernández-Martínez et al. [54] have recently shown that it is possible to perform drug repositioning in Inclusion Body Myositis via AI methods and robust sampling of the altered pathways. The list of novel drugs found can be easily applied in preclinical and clinical studies to treat Myopathies. This analysis served to reposition novel drugs such as chlormezanone, which is a muscle relaxant; Thapsigargin which is an inhibitor of the sarco-/endoplasmic reticulum Ca2+ ATPase and inhibits the fusion of autophagosomes with lysosomes in the autophagic process; and Felodipine which is a calcium channel blocker, used to treat high blood pressure. These drugs have been found using CMAP [55] and could be easily pre-clinically tested and clinically validated. Other approaches can be also followed to propose plausible targets and solutions, by using the knowledge provided by the robust pathways analysis [55]. In conclusion, a robust pathway analysis is crucial to reposition new compounds.