Literature DB >> 33229545

Therapeutic candidates for the Zika virus identified by a high-throughput screen for Zika protease inhibitors.

Rachel P M Abrams1, Adam Yasgar2, Tadahisa Teramoto3, Myoung-Hwa Lee1, Dorjbal Dorjsuren2, Richard T Eastman2, Nasir Malik1, Alexey V Zakharov2, Wenxue Li1, Muzna Bachani1, Kyle Brimacombe2, Joseph P Steiner1, Matthew D Hall2, Anuradha Balasubramanian3, Ajit Jadhav2, Radhakrishnan Padmanabhan4, Anton Simeonov5, Avindra Nath6.   

Abstract

When Zika virus emerged as a public health emergency there were no drugs or vaccines approved for its prevention or treatment. We used a high-throughput screen for Zika virus protease inhibitors to identify several inhibitors of Zika virus infection. We expressed the NS2B-NS3 Zika virus protease and conducted a biochemical screen for small-molecule inhibitors. A quantitative structure-activity relationship model was employed to virtually screen ∼138,000 compounds, which increased the identification of active compounds, while decreasing screening time and resources. Candidate inhibitors were validated in several viral infection assays. Small molecules with favorable clinical profiles, especially the five-lipoxygenase-activating protein inhibitor, MK-591, inhibited the Zika virus protease and infection in neural stem cells. Members of the tetracycline family of antibiotics were more potent inhibitors of Zika virus infection than the protease, suggesting they may have multiple mechanisms of action. The most potent tetracycline, methacycline, reduced the amount of Zika virus present in the brain and the severity of Zika virus-induced motor deficits in an immunocompetent mouse model. As Food and Drug Administration-approved drugs, the tetracyclines could be quickly translated to the clinic. The compounds identified through our screening paradigm have the potential to be used as prophylactics for patients traveling to endemic regions or for the treatment of the neurological complications of Zika virus infection.

Entities:  

Keywords:  Zika virus; encephalitis; flavivirus; high-throughput screening; serine protease

Mesh:

Substances:

Year:  2020        PMID: 33229545      PMCID: PMC7733812          DOI: 10.1073/pnas.2005463117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


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