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Deep learning in target prediction and drug repositioning: Recent advances and challenges
Drug Discovery Today, 2022Guo-Bo Li, Qing-Qing Dai, Jun-Lin Yu
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Structure-based drug repositioning: Potential and limits
Seminars in Cancer Biology, 2021Daniele Parisi +2 more
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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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COVID-19 drugs and drug repositioning
2021Introduction: The COVID-19 pandemic is caused by SARS-CoV-2. Drug repositioning is a propitious field in the development and discovery of therapeutic agents that distinguishes new therapeutic options for existing drugs. There are repositioned drugs in COVID-19 treatment. Aim: We aimed to explore repositioned drugs for COVID-19 pharmacotherapy.
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Biomedical data and computational models for drug repositioning: a comprehensive review
Briefings in Bioinformatics, 2021Mengyun Yang, Fang-Xiang Wu
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Drug repositioning: Progress and challenges in drug discovery for various diseases
European Journal of Medicinal Chemistry, 2022Yadong Chen +2 more
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Topological network measures for drug repositioning
Briefings in Bioinformatics, 2021Thomas Sauter +2 more
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