Biomedical data and computational models for drug repositioning: a comprehensive review
Drug repositioning can drastically decrease the cost and duration taken by traditional drug
research and development while avoiding the occurrence of unforeseen adverse events …
research and development while avoiding the occurrence of unforeseen adverse events …
Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational models
L Wang, Y Tan, X Yang, L Kuang… - Briefings in …, 2022 - academic.oup.com
In recent years, with the rapid development of techniques in bioinformatics and life science,
a considerable quantity of biomedical data has been accumulated, based on which …
a considerable quantity of biomedical data has been accumulated, based on which …
A heterogeneous network-based method with attentive meta-path extraction for predicting drug–target interactions
Predicting drug–target interactions (DTIs) is crucial at many phases of drug discovery and
repositioning. Many computational methods based on heterogeneous networks (HNs) have …
repositioning. Many computational methods based on heterogeneous networks (HNs) have …
A network-based drug repurposing method via non-negative matrix factorization
Motivation Drug repurposing is a potential alternative to the traditional drug discovery
process. Drug repurposing can be formulated as a recommender system that recommends …
process. Drug repurposing can be formulated as a recommender system that recommends …
[HTML][HTML] An explainable framework for drug repositioning from disease information network
Exploring efficient and high-accuracy computational drug repositioning methods has
become a popular and attractive topic in drug development. This technology can …
become a popular and attractive topic in drug development. This technology can …
Drug-pathway association prediction: from experimental results to computational models
Effective drugs are urgently needed to overcome human complex diseases. However, the
research and development of novel drug would take long time and cost much money …
research and development of novel drug would take long time and cost much money …
Drug repurposing using biological networks
FJ Somolinos, C León, S Guerrero-Aspizua - Processes, 2021 - mdpi.com
Drug repositioning is a strategy to identify new uses for existing, approved, or research
drugs that are outside the scope of its original medical indication. Drug repurposing is based …
drugs that are outside the scope of its original medical indication. Drug repurposing is based …
An analytical review of computational drug repurposing
SS Sadeghi, MR Keyvanpour - IEEE/ACM transactions on …, 2019 - ieeexplore.ieee.org
Drug repurposing is a vital function in pharmaceutical fields and has gained popularity in
recent years in both the pharmaceutical industry and research community. It refers to the …
recent years in both the pharmaceutical industry and research community. It refers to the …
[HTML][HTML] Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential
Enabling precision medicine requires developing robust patient stratification methods as
well as drugs tailored to homogeneous subgroups of patients from a heterogeneous …
well as drugs tailored to homogeneous subgroups of patients from a heterogeneous …
A heterogeneous label propagation approach to explore the potential associations between miRNA and disease
Abstract Background Research on microRNAs (miRNAs) has attracted increasingly
worldwide attention over recent years as growing experimental results have made clear that …
worldwide attention over recent years as growing experimental results have made clear that …