A Targeted Computational Screen of the SWEETLEAD Database Reveals FDA-Approved Compounds with Anti-Dengue Viral Activity

Author:

Moshiri Jasmine1,Constant David A.123,Liu Bowen4,Mateo Roberto12,Kearnes Steven4,Novick Paul4,Prasad Ritika4,Nagamine Claude5,Pande Vijay4,Kirkegaard Karla12

Affiliation:

1. Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA

2. Department of Genetics, Stanford University School of Medicine, Stanford, California, USA

3. Department of Biology, Stanford University, Stanford, California, USA

4. Department of Chemistry, Stanford University, Stanford, California, USA

5. Department of Comparative Medicine, Stanford University School of Medicine, Stanford, California, USA

Abstract

No antiviral therapeutics are currently available for dengue virus infections. By computationally overlaying the three-dimensional (3D) chemical structures of compounds known to inhibit dengue virus over those of compounds known to be safe in humans, we identified three FDA-approved compounds that are attractive candidates for repurposing as antivirals. We identified targets for two previously identified antiviral compounds and revealed a previously unknown potential anti-dengue compound, vandetanib. This computational approach to analyze a highly curated library of structures has the benefits of speed and cost efficiency. It also leverages mechanistic work with query compounds used in biomedical research to provide strong hypotheses for the antiviral mechanisms of the safer hit compounds. This workflow to identify compounds with known safety profiles can be expanded to any biological activity for which a small-molecule query compound has been identified, potentially expediting the translation of basic research to clinical interventions.

Funder

HHS | National Institutes of Health

SU | School of Medicine, Stanford University

Publisher

American Society for Microbiology

Subject

Virology,Microbiology

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