Results 161 to 170 of about 1,936,479 (187)
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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
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
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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
A Review of Computational Drug Repositioning Approaches
Combinatorial Chemistry & High Throughput Screening, 2018Computational drug repositioning emerges as a new idea of drug discovery and development. Contrary to conventional routines, computational drug repositioning encompasses low risk and high safety. Some successful cases demonstrated its advantage. Therefore, a large number of computational drug repositioning approaches have been developed over the past ...
Guohua, Huang +3 more
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Deep learning in target prediction and drug repositioning: Recent advances and challenges
Drug Discovery Today, 2022Guo-Bo Li, Jun-Lin Yu
exaly
In Silico Oncology Drug Repositioning and Polypharmacology
2018Network-aided in silico approaches have been widely used for prediction of drug-target interactions and evaluation of drug safety to increase the clinical efficiency and productivity during drug discovery and development. Here we review the advances and new progress in this field and summarize the translational applications of several new network-aided
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Biomedical data and computational models for drug repositioning: a comprehensive review
Briefings in Bioinformatics, 2021Mengyun Yang, Fang-Xiang Wu
exaly
Drug repositioning: Progress and challenges in drug discovery for various diseases
European Journal of Medicinal Chemistry, 2022Yadong Chen, Yanmin Zhang, Haichun Liu
exaly