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Network‐Based Approaches for Drug Repositioning

Molecular Informatics, 2021
AbstractWith deep learning creeping up into the ranks of big data, new models based on deep learning and massive data have made great leaps forward rapidly in the field of drug repositioning. However, there is no relevant review to summarize the transformations and development process of models and their data in the field of drug repositioning.
Tao Song   +5 more
openaire   +2 more sources

Drug Repositioning on the Cloud

2011 IEEE Third International Conference on Cloud Computing Technology and Science, 2011
Market pressures have driven pharmaceutical companies to reassess their current drug development model and reach out to new innovative business models such as drug repositioning. Various techniques that are used in drug repositioning lend themselves to the distributed computing model. The \cloud is one such computing model that optimizes resource usage
Virvilis V., Sharma A., Koutsokeras M.
openaire   +1 more source

Drug Repositioning Through Network Pharmacology

Current Topics in Medicinal Chemistry, 2016
Low drug productivity has been a significant problem of the pharmaceutical industry for several decades even though numerous novel technologies were introduced during this period. Currently pharmacologic dogma, "single drug, single target, single disease", is at the root of the lack of drug productivity.
Hao, Ye   +4 more
openaire   +2 more sources

Systematic Drug Repositioning

2017
This chapter focuses on the basic elements of computational drug repositioning and overviews the various in silico, in vivo, and in vitro approaches. It describes the use of Systematic Drug Repositioning (SDR) technologies to predict hitherto unknown adverse drug reactions (ADRs), or to derive mechanistic explanations of known ADRs.
Spyros N. Deftereos   +5 more
openaire   +1 more source

Repositioning Drugs: A Computational Approach

Current Drug Research Reviews
Abstract: Computational drug repositioning has emerged as an efficient approach to discovering new indications for existing drugs, offering lower risk and cost compared to traditional drug discovery methods.
Bhawna Sharma   +5 more
openaire   +2 more sources

[Drug repositioning].

La Revue du praticien
DRUG REPOSITIONING. Developing new therapeutic agents ("de novo") for human diseases is an increasingly lengthy and costly process, aimed at ensuring patient safety and drug efficacy. An alternative approach, drug repurposing or repositioning, involves using already commercialized or advanced molecules.
Clémence, Réda   +2 more
openaire   +1 more source

Computational Drug Repositioning for Cancer Therapeutics

Current Topics in Medicinal Chemistry, 2015
Due to ever-increasing failure rates, high cost, unsatisfactory safety profile, and limited efficacy associated with anticancer drug development, the repositioning of established non-cancer drugs for new oncology indications has emerged as an increasingly attractive approach to addressing the unmet cancer-related medical need.
Mingkun, Jiao   +3 more
openaire   +2 more sources

Challenges and opportunities of drug repositioning

Trends in Pharmacological Sciences, 2013
Drug repositioning is an innovation stream of pharmaceutical development that offers advantages for drug developers along with safer medicines for patients. Several drugs have been successfully repositioned to a new indication, with the most prominent of them being viagra and thalidomide, which have generated historically high revenues.
openaire   +2 more sources

Drug Repositioning Using Computer-aided Drug Design (CADD)

Current Pharmaceutical Biotechnology
Abstract: Drug repositioning is a method of using authorized drugs for other unusually complex diseases. Compared to new drug development, this method is fast, low in cost, and effective. Through the use of outstanding bioinformatics tools, such as computer-aided drug design (CADD), computer strategies play a vital role in the re-transformation of ...
Sona, Rawat   +12 more
openaire   +2 more sources

Repositioning Drugs

Asian Journal of Pharmaceutical Research, 2019
T. Naga Ravi Kiran   +3 more
openaire   +1 more source

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