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Antiviral Evaluation of Dispirotripiperazines against Hepatitis B Virus.
Jones, Thane; Tavis, John E; Li, Qilan; Riabova, Olga; Monakhova, Natalia; Bradley, Daniel P; Lane, Thomas R; Makarov, Vadim; Ekins, Sean.
Affiliation
  • Jones T; Collaborations Pharmaceuticals Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States.
  • Tavis JE; Saint Louis University School of Medicine, 1100 S. Grand Blvd., St. Louis, Missouri 63104, United States.
  • Li Q; Saint Louis University School of Medicine, 1100 S. Grand Blvd., St. Louis, Missouri 63104, United States.
  • Riabova O; Research Center of Biotechnology RAS, Leninsky Prospekt 33-2, 119071 Moscow, Russia.
  • Monakhova N; Research Center of Biotechnology RAS, Leninsky Prospekt 33-2, 119071 Moscow, Russia.
  • Bradley DP; Saint Louis University School of Medicine, 1100 S. Grand Blvd., St. Louis, Missouri 63104, United States.
  • Lane TR; Collaborations Pharmaceuticals Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States.
  • Makarov V; Research Center of Biotechnology RAS, Leninsky Prospekt 33-2, 119071 Moscow, Russia.
  • Ekins S; Collaborations Pharmaceuticals Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States.
J Med Chem ; 66(17): 12459-12467, 2023 09 14.
Article in En | MEDLINE | ID: mdl-37611244
Hepatitis B virus (HBV) is a hepatotropic DNA virus that replicates by reverse transcription. It chronically infects >296 million people worldwide, including ∼850,000 in the USA, and kills 820,000 annually worldwide. Current nucleos(t)ide analogue (NA) or pegylated interferon α therapies do not eradicate the virus and would benefit from a complementary antiviral drug. We performed a preliminary screen of 28 dispirotripiperazines against HBV, identifying 9 hits with EC50 of 0.7-25 µM. Compound 11826096 displays the most potent activity and represents a promising lead for future optimization. While the mechanism of action is unknown, preliminary assays limit possible targets to activities involved in RNA accumulation, translation, capsid assembly, and/or capsid stability. In addition, we built machine learning models to determine if they were able to predict the activity of this series of compounds. The novelty of these molecules indicated they were outside of the applicability domain of these models.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Antiviral Agents / Hepatitis B virus Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Med Chem Journal subject: QUIMICA Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Antiviral Agents / Hepatitis B virus Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Med Chem Journal subject: QUIMICA Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States