ArticleiScience2021
A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Feasibility of the inhibitor development for SARS-CoV-2: a systematic approach for drug design.Journal of molecular modeling · 2025Article
- Host centric drug repurposing for viral diseases.PLoS computational biology · 2025Article
- Rational drug repositioning for coronavirus-associated diseases using directional mapping and side-effect inference.iScience · 2022Article
- Network for network concept offers new insights into host- SARS-CoV-2 protein interactions and potential novel targets for developing antiviral drugs.Computers in biology and medicine · 2022Review
- Where all the Roads Meet? A Crossover Perspective on Host Factors Regulating SARS-CoV-2 infection.Journal of molecular biology · 2022Review
- Review
- A Systematic Review on the Contribution of Artificial Intelligence in the Development of Medicines for COVID-2019.Journal of personalized medicine · 2021Review
- AnSTAR protocols · 2021Article
- Artificial intelligence to deep learning: machine intelligence approach for drug discovery.Molecular diversity · 2021Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA viruses are responsible for many zoonotic diseases that post great challenges for public health. Effective therapeutics against these viral infections remain limited. Here, we deployed a computational framework for host-based drug repositioning to predict potential antiviral drugs from 2,352 approved drugs and 1,062 natural compounds embedded in herbs of traditional Chinese medicine. By systematically interrogating public genetic screening data, we comprehensively cataloged host dependency genes (HDGs) that are indispensable for successful viral infection corresponding to 10 families and 29 species of RNA viruses. We then utilized these HDGs as potential drug targets and interrogated extensive drug-target interactions through database retrieval, literature mining, and
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Registered trials
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