novobiocin and Zika-Virus-Infection

Zika virus is an emerging flavivirus that causes the neurodevelopmental congenital Zika syndrome and that has been linked to the neuroinflammatory Guillain-Barré syndrome. The absence of a vaccine or a clinically approved drug to treat the disease combined with the likelihood that another outbreak will occur in the future defines an unmet medical need. Several promising drug candidate molecules have been reported via repurposing studies, high-throughput compound library screening, and de novo design in the short span of a few years. Intense research activity in this area has occurred in response to the World Health Organization declaration of a Public Health Emergency of International Concern on February 1, 2016. In this Perspective, the authors review the emergence of Zika virus, the biology of its replication, targets for therapeutic intervention, target product profile, and current drug development initiatives.

Topics: Animals; Antiviral Agents; Drug Development; Drug Discovery; Humans; Viral Vaccines; Zika Virus; Zika Virus Infection

In recent years, the Zika virus has emerged from a neglected flavivirus to a health-threatening pathogen that causes epidemic outbreaks associated with neurological disorders and congenital malformations. In addition to vaccine development, the discovery of specific antiviral agents has been pursued intensely. The Zika virus protease NS2B-NS3 catalyses the processing of the viral precursor polyprotein as an essential step during viral replication. Since the epidemic Zika virus outbreak in the Americas, several inhibitors of this protease have been reported. Substrate-derived peptides revealed important structural information about the active site, whilst more drug-like small molecules have been discovered as allosteric inhibitors.

Topics: Animals; Antiviral Agents; Drug Discovery; Drug Repositioning; Humans; Serine Endopeptidases; Serine Proteinase Inhibitors; Viral Proteins; Zika Virus; Zika Virus Infection

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.

Topics: Animals; Antiviral Agents; Artificial Intelligence; Chlorocebus aethiops; Disease Models, Animal; Drug Evaluation, Preclinical; High-Throughput Screening Assays; Immunocompetence; Inhibitory Concentration 50; Methacycline; Mice, Inbred C57BL; Protease Inhibitors; Quantitative Structure-Activity Relationship; Small Molecule Libraries; Vero Cells; Zika Virus; Zika Virus Infection

Zika virus (ZIKV) infection may be associated with severe complications in fetuses and adults, but treatment options are limited. We performed an in silico structure-based screening of a large chemical library to identify potential ZIKV NS2B-NS3 protease inhibitors. Clinically approved drugs belonging to different drug classes were selected among the 100 primary hit compounds with the highest predicted binding affinities to ZIKV NS2B-NS3-protease for validation studies. ZIKV NS2B-NS3 protease inhibitory activity was validated in most of the selected drugs and in vitro anti-ZIKV activity was identified in two of them (novobiocin and lopinavir-ritonavir). Molecular docking and molecular dynamics simulations predicted that novobiocin bound to ZIKV NS2B-NS3-protease with high stability. Dexamethasone-immunosuppressed mice with disseminated ZIKV infection and novobiocin treatment had significantly (P < 0.05) higher survival rate (100% vs 0%), lower mean blood and tissue viral loads, and less severe histopathological changes than untreated controls. This structure-based drug discovery platform should facilitate the identification of additional enzyme inhibitors of ZIKV.

Topics: Animals; Antiviral Agents; Computer Simulation; Drug Discovery; Humans; Mice; Models, Molecular; Molecular Docking Simulation; Novobiocin; Protease Inhibitors; Protein Binding; Protein Conformation; Small Molecule Libraries; Viral Load; Virus Replication; Zika Virus; Zika Virus Infection