Results 31 to 40 of about 59,924 (341)

Drug Repositioning: New Approaches and Future Prospects for Life-Debilitating Diseases and the COVID-19 Pandemic Outbreak

open access: yesViruses, 2020
Traditionally, drug discovery utilises a de novo design approach, which requires high cost and many years of drug development before it reaches the market.
Zheng Yao Low   +2 more
doaj   +1 more source

An in silico drug repositioning workflow for host-based antivirals

open access: yesSTAR Protocols, 2021
Summary: Drug repositioning represents a cost- and time-efficient strategy for drug development. Artificial intelligence-based algorithms have been applied in drug repositioning by predicting drug-target interactions in an efficient and high throughput ...
Zexu Li   +4 more
doaj   +1 more source

Drug repositioning for personalized medicine [PDF]

open access: yesGenome Medicine, 2012
Human diseases can be caused by complex mechanisms involving aberrations in numerous proteins and pathways. With recent advances in genomics, elucidating the molecular basis of disease on a personalized level has become an attainable goal. In many cases, relevant molecular targets will be identified for which approved drugs already exist, and the ...
Li, Yvonne Y, Jones, Steven JM
openaire   +2 more sources

Repositioning Natural Products in Drug Discovery [PDF]

open access: yesMolecules, 2020
Drug repositioning (o repurposing) has become one of the most popular and successful strategies to reduce failures typically associated with drug discovery [...]
Rastelli, G.   +3 more
openaire   +4 more sources

A Systematic Approach to Identifying Protein-Ligand Binding Profiles on a Proteome Scale [PDF]

open access: yes, 2008
Identification of protein-ligand interaction networks on a proteome scale is crucial to address a wide range of biological problems such as correlating molecular functions to physiological processes and designing safe and efficient therapeutics.
Lei Xie   +3 more
core   +2 more sources

A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration

open access: yesBMC Bioinformatics, 2018
Background Drug repositioning is the process of identifying new uses for existing drugs. Computational drug repositioning methods can reduce the time, costs and risks of drug development by automating the analysis of the relationships in pharmacology ...
Pathima Nusrath Hameed   +3 more
doaj   +1 more source

RepCOOL: computational drug repositioning via integrating heterogeneous biological networks

open access: yesJournal of Translational Medicine, 2020
Background It often takes more than 10 years and costs more than 1 billion dollars to develop a new drug for a particular disease and bring it to the market. Drug repositioning can significantly reduce costs and time in drug development.
Ghazale Fahimian   +3 more
doaj   +1 more source

In silico drug repositioning based on the integration of chemical, genomic and pharmacological spaces

open access: yesBMC Bioinformatics, 2021
Background Drug repositioning refers to the identification of new indications for existing drugs. Drug-based inference methods for drug repositioning apply some unique features of drugs for new indication prediction. Complementary information is provided
Hailin Chen, Zuping Zhang, Jingpu Zhang
doaj   +1 more source

Recent computational drug repositioning strategies against SARS-CoV-2

open access: yesComputational and Structural Biotechnology Journal, 2022
Since COVID-19 emerged in 2019, significant levels of suffering and disruption have been caused on a global scale. Although vaccines have become widely used, the virus has shown its potential for evading immunities or acquiring other novel ...
Lu Lu   +6 more
doaj   +1 more source

Repositioning of Verrucosidin, a purported inhibitor of chaperone protein GRP78, as an inhibitor of mitochondrial electron transport chain complex I. [PDF]

open access: yes, 2013
Verrucosidin (VCD) belongs to a group of fungal metabolites that were identified in screening programs to detect molecules that preferentially kill cancer cells under glucose-deprived conditions.
Chen, Thomas C   +8 more
core   +2 more sources

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