trv130 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

The concept of "ligand bias" at G protein coupled receptors has been introduced to describe ligands which preferentially stimulate one intracellular signaling pathway over another. There is growing interest in developing biased G protein coupled receptor ligands to yield safer, better tolerated, and more efficacious drugs. The classical μ opioid morphine elicited increased efficacy and duration of analgesic response with reduced side effects in β-arrestin-2 knockout mice compared to wild-type mice, suggesting that G protein biased μ opioid receptor agonists would be more efficacious with reduced adverse events. Here we describe our efforts to identify a potent, selective, and G protein biased μ opioid receptor agonist, TRV130 ((R)-30). This novel molecule demonstrated an improved therapeutic index (analgesia vs adverse effects) in rodent models and characteristics appropriate for clinical development. It is currently being evaluated in human clinical trials for the treatment of acute severe pain.

Topics: Acute Pain; Analgesics; Animals; Disease Models, Animal; Drug Discovery; GTP-Binding Proteins; HEK293 Cells; Humans; Mice; Models, Chemical; Molecular Structure; Rats; Receptors, Opioid, mu; Severity of Illness Index; Spiro Compounds; Structure-Activity Relationship; Thiophenes