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Drug Repositioning on the Cloud
2011 IEEE Third International Conference on Cloud Computing Technology and Science, 2011Market 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
Vassilis Virvilis +2 more
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Drug repositioning for Alzheimer's disease
Nature Reviews Drug Discovery, 2012Existing drugs for Alzheimer's disease provide symptomatic benefit for up to 12 months, but there are no approved disease-modifying therapies. Given the recent failures of various novel disease-modifying therapies in clinical trials, a complementary strategy based on repositioning drugs that are approved for other indications could be attractive ...
Anne Corbett +2 more
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Journal of Chemical Information and Modeling, 2020
Drug repositioning aims to reuse "old" drugs to treat diseases outside their approved indication(s). Composition-of-matter patents and FDA exclusivities can hinder the immediate availability of some drugs to be repositioned (repurposed). Here, we analyze data from the FDA Orange Book and use current on-market patent validity and exclusivities to ...
Sorin I. Avram +4 more
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Drug repositioning aims to reuse "old" drugs to treat diseases outside their approved indication(s). Composition-of-matter patents and FDA exclusivities can hinder the immediate availability of some drugs to be repositioned (repurposed). Here, we analyze data from the FDA Orange Book and use current on-market patent validity and exclusivities to ...
Sorin I. Avram +4 more
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Network-based drug repositioning
Molecular BioSystems, 2013Abstract Network-based computational biology, with the emphasis on biomolecular interactions and omics-data integration, has had success in drug development and created new directions such as drug repositioning and drug combination. Drug repositioning, i.e., revealing a drug's new roles, is increasingly attracting much attention from ...
Zikai, Wu, Yong, Wang, Luonan, Chen
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Network‐Based Approaches for Drug Repositioning
Molecular Informatics, 2021AbstractWith 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
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In Silico Drug Repositioning for Chagas Disease
Current Medicinal Chemistry, 2020: Chagas disease is an infectious tropical disease included within the group of neglected tropical diseases. Though historically endemic to Latin America, it has lately spread to high-income countries due to human migration. At present, there are only two available drugs, nifurtimox and benznidazole, approved for this treatment, both with considerable
Bellera, Carolina Leticia +3 more
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Current status of drug repositioning in hematology
Expert Review of Hematology, 2021Drug repositioning (DR) is defined as determining new therapeutic applications for existing drugs. This approach is advantageous over de novo drug discovery in accelerating clinical development, in terms of lower costs, a shortened development period, a well-known action mechanism, a feasible dosage, and an acceptable safety profile.This work was aimed
Akihiro Ohmoto, Shigeo Fuji
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Challenges and opportunities of drug repositioning
Trends in Pharmacological Sciences, 2013Drug 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.
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Repositioning Drugs: A Computational Approach
Current Drug Research ReviewsComputational 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. Various computational approaches have been developed, including targetbased, gene-expression-based, phenome-based,
Bhawna Sharma +5 more
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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
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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