Drug repositioning through integration of prior knowledge and projections of drugs and diseases

P Xuan, Y Cao, T Zhang, X Wang, S Pan… - Bioinformatics, 2019 - academic.oup.com
drug development. Compared to developing a drug de novo, drug repositioning may
reduce the drug development period to 6.5 years and the cost for repositioning a drug is $300 …

A Multimodal Framework for Improving in Silico Drug Repositioning With the Prior Knowledge From Knowledge Graphs

Z Xiong, F Huang, Z Wang, S Liu… - IEEE/ACM Transactions …, 2021 - ieeexplore.ieee.org
… (Graph-based Prior Knowledge) for improving in silico drug repositioning via using the prior
… (2) We propose a multimodal framework that combines the prior knowledge with two types …

[HTML][HTML] Toward better drug repositioning: prioritizing and integrating existing methods into efficient pipelines

G Jin, STC Wong - Drug discovery today, 2014 - Elsevier
… not need prior knowledge, and the repositioned drugs are just … knowledge about the targets,
such as 3D protein structures, whereas knowledge-based methods require the knowledge

[HTML][HTML] Review of drug repositioning approaches and resources

H Xue, J Li, H Xie, Y Wang - International journal of biological …, 2018 - ncbi.nlm.nih.gov
… The authors used a Bayesian statistics approach to rank drug-disease relationships according
to prior knowledge. Then, they integrated ranked relationships with other biological entity …

Investigating drug repositioning opportunities in FDA drug labels through topic modeling

H Bisgin, Z Liu, R Kelly, H Fang, X Xu, W Tong - BMC bioinformatics, 2012 - Springer
… The safety information in the drug labels is usually obtained in the clinical trial and augmented
with the observations in the post-market use of the drug. Therefore, our drug repositioning

Exploiting drug–disease relationships for computational drug repositioning

JT Dudley, T Deshpande, AJ Butte - Briefings in bioinformatics, 2011 - academic.oup.com
prior knowledge that enable repositioning of drugs through clinical trials, these occurrences
are often serendipitous and rare. One challenge in drug repositioning, … for a drug of interest. …

Drug repositioning: current approaches and their implications in the precision medicine era

A Talevi - Expert Review of Precision Medicine and Drug …, 2018 - Taylor & Francis
… Under this new light, I believe that the interest on drug repositioning will continue to grow
vigorously in the short- and mid-term, as known drugs are repurposed for particular subtypes of …

A geometric deep learning framework for drug repositioning over heterogeneous information networks

BW Zhao, XR Su, PW Hu, YP Ma… - Briefings in …, 2022 - academic.oup.com
… In summary, the geometric prior knowledge of HIN is of benefit for DDAGDL to correctly
capture its full complexity and structural richness in a non-Euclidean domain, and the proposed …

Drug repositioning: a machine-learning approach through data integration

F Napolitano, Y Zhao, VM Moreira, R Tagliaferri… - Journal of …, 2013 - Springer
… cell lines after treatment, or on drug-to-disease relationships, … Here we focused on a
drug-centered approach by predicting … approach to predict drug repositioning based on …

Drug repositioning by applying 'expression profiles' generated by integrating chemical structure similarity and gene semantic similarity

F Tan, R Yang, X Xu, X Chen, Y Wang, H Ma… - Molecular …, 2014 - pubs.rsc.org
drugs. One significant advantage of drug repositioning over traditional drug development
is that … First, our approach requires some prior knowledge about the drugs, eg, its chemical …