4.7 Article

Docking and Linking of Fragments To Discover Jumonji Histone Demethylase Inhibitors

Journal

JOURNAL OF MEDICINAL CHEMISTRY
Volume 59, Issue 4, Pages 1580-1598

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jmedchem.5b01527

Keywords

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Funding

  1. Searle Scholar award
  2. V Foundation
  3. UCSF Prostate Cancer Developmental Research Program
  4. Arthritis Research UK [20522]
  5. NIHR Oxford Biomedical Research Unit
  6. Rosetrees Trust
  7. Abbvie
  8. Bayer Healthcare
  9. Boehringer Ingelheirn
  10. Canadian Institutes for Health Research
  11. Canadian Foundation for Innovation
  12. Eli Lilly and Company
  13. Genome Canada
  14. GlaxoSmithKline
  15. Ontario Ministry of Economic Development and Innovation
  16. Janssen
  17. Novartis Research Foundation
  18. Pfizer
  19. Takeda
  20. Wellcome Trust
  21. [GM59957]
  22. [GM71630]
  23. Engineering and Physical Sciences Research Council [1100667] Funding Source: researchfish
  24. Rosetrees Trust [M289-F1, M289] Funding Source: researchfish
  25. Versus Arthritis [20522] Funding Source: researchfish

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Development of tool molecules that inhibit Jumonji demethylases allows for the investigation of cancer-associated transcription. While scaffolds such as 2,4-pyridinedicarboxylic acid (2,4-PD CA) are potent inhibitors, they exhibit limited selectivity. To discover new inhibitors for the KDM4 demethylases, enzymes overexpressed in several cancers, we docked a library of 600 000 fragments into the high-resolution structure of KDM4A. Among the most interesting chemotypes were the 5-aminosalicylates, which docked in two distinct but overlapping orientations. Docking poses informed the design of covalently linked fragment compounds, which were further derivatized. This combined approach improved affinity by similar to 3 log-orders to yield compound 35 (K-i = 43 nM). Several hybrid inhibitors were selective for KDM4C over the related enzymes FIH, KDM2A, and KDM6B while lacking selectivity against the KDM3 and KDMS subfamilies. Cocrystal structures corroborated the docking predictions. This study extends the use of structure-based docking from fragment discovery to fragment linking optimization, yielding novel KDM4 inhibitors.

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