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Identification of Potent ADCK3 Inhibitors through Structure-Based Virtual Screening.
Gao, Peng; Tambe, Mitali; Chen, Catherine Z; Huang, Wenwei; Tawa, Gregory J; Hirschhorn, Tal; Stockwell, Brent R; Zheng, Wei; Shen, Min.
Afiliación
  • Gao P; Therapeutics Development Branch, Division of Preclinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, Maryland 20850, United States.
  • Tambe M; Therapeutics Development Branch, Division of Preclinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, Maryland 20850, United States.
  • Chen CZ; Therapeutics Development Branch, Division of Preclinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, Maryland 20850, United States.
  • Huang W; Therapeutics Development Branch, Division of Preclinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, Maryland 20850, United States.
  • Tawa GJ; Therapeutics Development Branch, Division of Preclinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, Maryland 20850, United States.
  • Hirschhorn T; Department of Biological Sciences, Department of Chemistry and Department of Pathology and Cell Biology, Columbia University, 550 West 120th Street MC 4846, 1208 Northwest Corner Building, New York, New York 10027, United States.
  • Stockwell BR; Department of Biological Sciences, Department of Chemistry and Department of Pathology and Cell Biology, Columbia University, 550 West 120th Street MC 4846, 1208 Northwest Corner Building, New York, New York 10027, United States.
  • Zheng W; Therapeutics Development Branch, Division of Preclinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, Maryland 20850, United States.
  • Shen M; Early Translation Branch, Division of Preclinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, Maryland 20850, United States.
J Chem Inf Model ; 64(15): 6072-6080, 2024 Aug 12.
Article en En | MEDLINE | ID: mdl-39025788
ABSTRACT
ADCK3 is a member of the UbiB family of atypical protein kinases in humans, with homologues in archaea, bacteria, and eukaryotes. In lieu of protein kinase activity, ADCK3 plays a role in the biosynthesis of coenzyme Q10 (CoQ10), and inactivating mutations can cause a CoQ10 deficiency and ataxia. However, the exact functions of ADCK3 are still unclear, and small-molecule inhibitors could be useful as chemical probes to elucidate its molecular mechanisms. In this study, we applied structure-based virtual screening (VS) to discover a novel chemical series of ADCK3 inhibitors. Through extensive structural analysis of the active-site residues, we developed a pharmacophore model and applied it to a large-scale VS. Out of ∼170,000 compounds virtually screened, 800 top-ranking candidate compounds were selected and tested in both ADCK3 and p38 biochemical assays for hit validation. In total, 129 compounds were confirmed as ADCK3 inhibitors, and among them, 114 compounds are selective against p38, which was used as a counter-target. Molecular dynamics (MD) simulations were then conducted to predict the binding modes of the most potent compounds within the ADCK3 active site. Through metadynamics analysis, we successfully detected the key amino acid residues that govern intermolecular interactions. The findings provided in this study can serve as a promising starting point for drug development.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inhibidores de Proteínas Quinasas / Evaluación Preclínica de Medicamentos Límite: Humans Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inhibidores de Proteínas Quinasas / Evaluación Preclínica de Medicamentos Límite: Humans Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos