ver-52296 and Disease-Models--Animal

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

Invasion and metastasis are responsible for 90% of cancer-related mortality. Herein, we report on our quest for novel, clinically relevant inhibitors of local invasion, based on a broad screen of natural products in a phenotypic assay. Starting from micromolar chalcone hits, a predictive QSAR model for diaryl propenones was developed, and synthetic analogues with a 100-fold increase in potency were obtained. Two nanomolar hits underwent efficacy validation and eADMET profiling; one compound was shown to increase the survival time in an artificial metastasis model in nude mice. Although the molecular mechanism(s) by which these substances mediate efficacy remain(s) unrevealed, we were able to eliminate the major targets commonly associated with antineoplastic chalcones.

Topics: Animals; Antineoplastic Agents, Phytogenic; Biological Products; Cell Line, Tumor; Cell Movement; Cell Survival; Chalcones; Chick Embryo; Disease Models, Animal; Dose-Response Relationship, Drug; Drug Discovery; Female; Humans; Mice; Mice, Nude; Molecular Structure; Myocardium; Neoplasm Invasiveness; Neoplasm Metastasis; Quantitative Structure-Activity Relationship