Through a network-based drug repurposing approach, several effective drug candidates are identified for treating COVID-19 patients in different clinical stages. The proposed approach takes advantage of computational prediction methods by integrating publicly available clinical transcriptome and experimental data.
Feb 24, 2023
Jul 20, 2021 · This work utilizes a powerful heterogeneous network-based deep learning method, which may be beneficial to quickly identify candidate repurposable drugs.
In summary, this work utilizes a powerful heterogeneous network-based deep learning method, which may be beneficial to quickly identify candidate repurposable ...
Mar 16, 2020 · In this study, we present an integrative, antiviral drug repurposing methodology implementing a systems pharmacology-based network medicine platform.
This review describes a drug repurposing process that is based on a new data-driven approach: we put forward five information paths that associate COVID-19- ...
Sep 6, 2024 · In summary, this work utilizes a powerful heterogeneous network-based deep learning method, which may be beneficial to quickly identify ...
We built a SARS-CoV-2 knowledge graph based on the interactions among virus baits, host genes, pathways, drugs, and phenotypes. A deep graph neural network ...
We prioritized 13 approved drugs (eg, alitretinoin, clocortolone, terazosin, doconexent, and pergolide) that could potentially be repurposed for the treatment ...
Apr 27, 2021 · Network-Based Drug Repurposing. We found that 208 of the 332 viral targets form a large connected component (hereafter denoted the COVID-19 ...
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AI on network-based drug repurposing in Covid-19. Network-based approaches play very important role in drug repurposing studies and few of the recent studies ...