… of computational approaches for … drug repurposing in cancer, including the databases and
tools that are used for cancer research. Finally, we present case studies of drug repurposing, …

… computational approaches that are extensively used in drug … experimental models to validate
computational methods. Fourth… Drug repositioning is also known as drug repurposing, drug …

… To assess the predictive power of molecular docking for drug repurposing, we collected …
Thus, we can conclude that computational approaches used for drug repurposing are a vital …

… and focus on drug repurposing using computationally-efficient GNNs. We provide a
comparative analysis of several graph-based architectures for drug repurposing and showcase the …

… repurposing attempts. In this chapter, we present techniques for drug repurposing that are
both conventional and computational, talk about the difficulties faced by scientists who attempt …

… A powerful approach is to restrict the search to existing drugs through drug repurposing, …
set of currently used computational approaches to identify repurposable drugs for COVID-19…

… repurposing techniques that try to detect hidden benefits of the existing drugs in managing
COVID-19. Among the drug repurposing methods, computational approaches are more …

… Modern computational tools can boost identification and repurposing of known drugs targeting
RdRp. We here report the results regarding the screening of a database containing more …

… Drug repositioning utilizes the combined efforts of activity-based or experimental and in
silico -based or computational approaches to develop/identify the new uses of drug molecules …

… Computational approaches make use of machine learning and algorithms to model disease
… approaches and strategies used in drug repurposing. We will discuss how drug repurposing …