Results 61 to 70 of about 1,936,479 (187)
Representation Learning of Drug and Disease Terms for Drug Repositioning [PDF]
2017 3rd IEEE International Conference on Cybernetics (CYBCONF), 2017 Accepted to appear in 3rd IEEE International Conference on Cybernetics (Spl Session: Deep Learning for Prediction and Estimation)
Sahil Manchanda, Ashish Anand
openaire +3 more sources
Expanding the Computational Drug Repositioning Toolbox
, 2019 Repositioning of previously approved drugs is a promising methodology because it lowers the cost and duration of the drug development pipeline and reduces the likelihood of unforeseen adverse events.
Brown, Adam Samuel
core +2 more sources
Heter-LP: A Heterogeneous Label Propagation Method for Drug Repositioning
, 2018 Using existing drugs for diseases which are not developed for their treating (drug repositioning) provides a new approach to developing drugs at a lower cost, faster, and more secured.
Green, James R. +5 more
core +1 more source
Benchmarking methods for drug repositioning based on heterogeneous networks
, 2023 This repository contains all the datasets used for benchmarking drug repositioning methods, including drug-drug similarity, disease-disease similarity, and drug-disease associations.
yinqi yang, yinghong li
core +1 more source
AI3SD Video: Drug Repositioning for COVID-19
, 2020 Pandemics, such as Covid-19. are by definition essentially unanticipatable and rapid onset. Features unfortunately incompatible with current industry capabilities in drug discovery.
Overington, John
core +1 more source
A Review of Current In Silico Methods for Repositioning Drugs and Chemical Compounds
Frontiers in Oncology, 2021 Drug repositioning is a new way of applying the existing therapeutics to new disease indications. Due to the exorbitant cost and high failure rate in developing new drugs, the continued use of existing drugs for treatment, especially anti-tumor drugs ...
Binsheng He +5 more
doaj +1 more source
GREP: genome for REPositioning drugs
Bioinformatics, 2019 Abstract Summary Making use of accumulated genetic knowledge for clinical practice is our next goal in human genetics. Here we introduce GREP (Genome for REPositioning drugs), a standalone python software to quantify an enrichment of the user-defined set of genes in the target of clinical indication ...
Saori Sakaue, Yukinori Okada
openaire +3 more sources
Predicting Drug-Disease Association Based on Ensemble Strategy
Frontiers in Genetics, 2021 Drug repositioning is used to find new uses for existing drugs, effectively shortening the drug research and development cycle and reducing costs and risks. A new model of drug repositioning based on ensemble learning is proposed.
Jianlin Wang +4 more
doaj +1 more source
Drug Repositioning for COVID-19
Colombia Medica, 2020 Drug repositioning is a strategy that identifies new uses of approved drugs, to treat conditions different from their original purpose. With the advance of COVID-19 and the declaration of a pandemic; It has become the closest alternative to slow the advance of the virus. Antimalarial, antiviral drugs, antibiotics, glucocorticoids, monoclonal antibodies,
openaire +4 more sources
Computational and Practical Aspects of Drug Repositioning [PDF]
ASSAY and Drug Development Technologies, 2015 The concept of the hypothesis-driven or observational-based expansion of the therapeutic application of drugs is very seductive. This is due to a number of factors, such as lower cost of development, higher probability of success, near-term clinical potential, patient and societal benefit, and also the ability to apply the approach to rare, orphan, and
Tudor I, Oprea, John P, Overington
openaire +2 more sources