[HTML][HTML] Network-based approach to prediction and population-based validation of in silico drug repurposing
Here we identify hundreds of new drug-disease associations for over 900 FDA-approved
drugs by quantifying the network proximity of disease genes and drug targets in the human …
drugs by quantifying the network proximity of disease genes and drug targets in the human …
Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing
Motivation Mining drug–disease association and related interactions are essential for
developing in silico drug repurposing (DR) methods and understanding underlying …
developing in silico drug repurposing (DR) methods and understanding underlying …
In silico methods for drug repurposing and pharmacology
Data in the biological, chemical, and clinical domains are accumulating at ever‐increasing
rates and have the potential to accelerate and inform drug development in new ways …
rates and have the potential to accelerate and inform drug development in new ways …
[HTML][HTML] Computer-aided drug repurposing for cancer therapy: approaches and opportunities to challenge anticancer targets
Despite huge efforts made in academic and pharmaceutical worldwide research, current
anticancer therapies achieve effective treatment in a limited number of neoplasia cases only …
anticancer therapies achieve effective treatment in a limited number of neoplasia cases only …
deepDR: a network-based deep learning approach to in silico drug repositioning
Motivation Traditional drug discovery and development are often time-consuming and high
risk. Repurposing/repositioning of approved drugs offers a relatively low-cost and high …
risk. Repurposing/repositioning of approved drugs offers a relatively low-cost and high …
Computational drug repurposing: current trends
Biomedical discovery has been reshaped upon the exploding digitization of data which can
be retrieved from a number of sources, ranging from clinical pharmacology to …
be retrieved from a number of sources, ranging from clinical pharmacology to …
[HTML][HTML] Computational drug repositioning through heterogeneous network clustering
Background Given the costly and time consuming process and high attrition rates in drug
discovery and development, drug repositioning or drug repurposing is considered as a …
discovery and development, drug repositioning or drug repurposing is considered as a …
Drug repositioning based on the heterogeneous information fusion graph convolutional network
In silico reuse of old drugs (also known as drug repositioning) to treat common and rare
diseases is increasingly becoming an attractive proposition because it involves the use of de …
diseases is increasingly becoming an attractive proposition because it involves the use of de …
A novel computational approach for drug repurposing using systems biology
Motivation Identification of novel therapeutic effects for existing US Food and Drug
Administration (FDA)-approved drugs, drug repurposing, is an approach aimed to …
Administration (FDA)-approved drugs, drug repurposing, is an approach aimed to …
[HTML][HTML] On the Integration of In Silico Drug Design Methods for Drug Repurposing
E March-Vila, L Pinzi, N Sturm, A Tinivella… - Frontiers in …, 2017 - frontiersin.org
Drug repurposing has become an important branch of drug discovery. Several
computational approaches that help to uncover new repurposing opportunities and aid the …
computational approaches that help to uncover new repurposing opportunities and aid the …