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Maxwell Tucker
North Carolina School of Science and Mathematics
DESIGN AND SYNTHESIS OF A NOVEL THIOLATE
HISTONE DEACETYLASE INHIBITOR
Introduction | Molecular Modeling | Synthesis | Conclusions
HISTONES AND HISTONE ACETYLATION
• Histones are a major component of chromatin, the skeleton upon which DNA is
stored
• Acetylation and deacetylation of histones affects gene expression
• A number of cancers show excess expression of class I HDACs1
Histone acetylation showing affect on gene expression
Transcriptionally active
Transcriptionally repressed
HAT HDAC
1Dokmanovic, M., Clarke, C., & Marks, P. a. (2007). Histone deacetylase inhibitors: overview and
perspectives. Molecular cancer research : MCR, 5(10), 981–9. 2
Introduction | Molecular Modeling | Synthesis | Conclusions
HISTONE DEACETYLASE INHIBITORS (HDACI)
• Competitive inhibitors
• Consist of 3 main groups: surface recognition, linker, and chelating
group
• Act by chelating the zinc ion within metal cofactor-dependent HDACs
3
Introduction | Molecular Modeling | Synthesis | Conclusions
HYDROXAMIC ACID INHIBITORS
• Hydroxamic acid inhibitors are among the most structurally simple histone
deacetylase inhibitors
• Suberoylanilide hydroxamic acid (vorinostat) is one of only 2 HDACis
currently approved by the FDA
• A host of side effects, including
fatigue, nausea, vomiting, and
anemia2
2Ma, X., Ezzeldin, H. H., & Diasio, R. B. (2009). Histone deacetylase inhibitors: current status and
overview of recent clinical trials. Drugs, 69(14), 1911–34. 4
Introduction | Molecular Modeling | Synthesis | Conclusions
DEPSIPEPTIDE/THIOLATE INHIBITORS
• Contain large depsipeptide macrocycles
• Prodrugs which form thiol active metabolite
• Highly selective
Romidepsin and largazole, 2
depsipeptide inhibitors and their
active metabolites3
3Cole, K. E., Dowling, D. P., Boone, M. A., Phillips, A. J., & Christianson, D. W. (2011). Structural basis of
the antiproliferative activity of largazole, a depsipeptide inhibitor of the histone deacetylases. Journal of
the American Chemical Society, (133), 12474–12477. 5
Introduction | Molecular Modeling | Synthesis | Conclusions
PROBLEMS WITH CURRENT INHIBITORS
• Hydroxamic acid inhibitors have a host of side affects
• Depsipeptide inhibitors are hard to synthesize and therefore costly
Retrosynthetic
Analysis for
romidepsin4
4Greshock, T., Johns, D., Noguchi, Y., & Williams, R. (2008). Improved total synthesis
of the potent HDAC inhibitor FK228 (FR-901228). Organic letters, 10(4), 613–616. 6
Introduction | Molecular Modeling | Synthesis | Conclusions
EXPERIMENTAL DESIGN AND PROJECT GOALS
• Design a synthetic inhibitor with simple synthesis and high anticipated
selectivity and activity
• Adapt simple surface recognition regions from hydroxamic acid
inhibitors
• Aliphatic linker
• Thiol chelating agent
7
Introduction | Molecular Modeling | Synthesis | Conclusions
MOLEGRO MOLECULAR DOCKING
• Moldock engine uses heuristics with a genetic algorithm for accurate
ligand-protein docking5
• Six novel ligands were tested alongside known hydroxamic acid inhibitors
– TSA and SAHA
5Thomsen, R., & Christensen, M. H. (2006). MolDock: a new technique for high-accuracy molecular docking.
Journal of Medicinal Chemistry, 49(11), 3315–21. 8
Introduction | Molecular Modeling | Synthesis | Conclusions
DOCKING RESULTS
9
Introduction | Molecular Modeling | Synthesis | Conclusions
SYNTHETIC TARGET
The active metabolite, top, and the
synthetic target, a disulfide dimer
• Molecular Weight of 253, 504 for
the dimer
• Few hydrogen bonding sites
• clogP between 3.2 and 3.6
10
Introduction | Molecular Modeling | Synthesis | Conclusions
SYNTHESIS
11
Introduction | Molecular Modeling | Synthesis | Conclusions
SYNTHESIS
12
Introduction | Molecular Modeling | Synthesis | Conclusions
PRODUCT VERIFICATION
• Intermediate products were verified using IR spectroscopy
• Final verification was done using proton and carbon-13 NMR
• C13 NMR shifts were predicted at the B3LYP/6-31G** level on a structure
optimized at the 6-31G* level
C-13 NMR
spectrum of
final product
13
Introduction | Molecular Modeling | Synthesis | Conclusions
Active metabolite IR spectrum
14
Introduction | Molecular Modeling | Synthesis | Conclusions
CONCLUSIONS
• Successfully designed and synthesized a novel thiolate histone
deacetylase inhibitor
• Molecule is predicted to have high selectivity and activity, based on
molecular modeling
• May one day prove to be effective for the treatment of cancers
15
Introduction | Molecular Modeling | Synthesis | Conclusions
FUTURE WORK
• Additional molecular modeling to verify selectivity
• Increased synthetic yields – better catalysis and optimized reaction
conditions
• Preliminary biological assays, first on enzyme samples in vitro, then
established cell lines
DMAP, a potential
catalyst for the
esterification
16
Introduction | Molecular Modeling | Synthesis | Conclusions
ACKNOWLEDGMENTS
Special Thanks to:
Dr. Myra Halpin
Dr. Darrell Spells
The Research in Chemistry Program and Students
The NCSSM Science Department
Dr. W. Andrew Tucker of Queens University
Additional Thanks to the Following:
Dr. Amy Sheck, NCSSM
Mr. John Woodmansee, NCSSM
Ms. Leslie Brinson, NCSSM
My Family
17

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Design and Synthesis of a Novel Thiolate Histone Deacetylase Inhibitor

  • 1. Maxwell Tucker North Carolina School of Science and Mathematics DESIGN AND SYNTHESIS OF A NOVEL THIOLATE HISTONE DEACETYLASE INHIBITOR
  • 2. Introduction | Molecular Modeling | Synthesis | Conclusions HISTONES AND HISTONE ACETYLATION • Histones are a major component of chromatin, the skeleton upon which DNA is stored • Acetylation and deacetylation of histones affects gene expression • A number of cancers show excess expression of class I HDACs1 Histone acetylation showing affect on gene expression Transcriptionally active Transcriptionally repressed HAT HDAC 1Dokmanovic, M., Clarke, C., & Marks, P. a. (2007). Histone deacetylase inhibitors: overview and perspectives. Molecular cancer research : MCR, 5(10), 981–9. 2
  • 3. Introduction | Molecular Modeling | Synthesis | Conclusions HISTONE DEACETYLASE INHIBITORS (HDACI) • Competitive inhibitors • Consist of 3 main groups: surface recognition, linker, and chelating group • Act by chelating the zinc ion within metal cofactor-dependent HDACs 3
  • 4. Introduction | Molecular Modeling | Synthesis | Conclusions HYDROXAMIC ACID INHIBITORS • Hydroxamic acid inhibitors are among the most structurally simple histone deacetylase inhibitors • Suberoylanilide hydroxamic acid (vorinostat) is one of only 2 HDACis currently approved by the FDA • A host of side effects, including fatigue, nausea, vomiting, and anemia2 2Ma, X., Ezzeldin, H. H., & Diasio, R. B. (2009). Histone deacetylase inhibitors: current status and overview of recent clinical trials. Drugs, 69(14), 1911–34. 4
  • 5. Introduction | Molecular Modeling | Synthesis | Conclusions DEPSIPEPTIDE/THIOLATE INHIBITORS • Contain large depsipeptide macrocycles • Prodrugs which form thiol active metabolite • Highly selective Romidepsin and largazole, 2 depsipeptide inhibitors and their active metabolites3 3Cole, K. E., Dowling, D. P., Boone, M. A., Phillips, A. J., & Christianson, D. W. (2011). Structural basis of the antiproliferative activity of largazole, a depsipeptide inhibitor of the histone deacetylases. Journal of the American Chemical Society, (133), 12474–12477. 5
  • 6. Introduction | Molecular Modeling | Synthesis | Conclusions PROBLEMS WITH CURRENT INHIBITORS • Hydroxamic acid inhibitors have a host of side affects • Depsipeptide inhibitors are hard to synthesize and therefore costly Retrosynthetic Analysis for romidepsin4 4Greshock, T., Johns, D., Noguchi, Y., & Williams, R. (2008). Improved total synthesis of the potent HDAC inhibitor FK228 (FR-901228). Organic letters, 10(4), 613–616. 6
  • 7. Introduction | Molecular Modeling | Synthesis | Conclusions EXPERIMENTAL DESIGN AND PROJECT GOALS • Design a synthetic inhibitor with simple synthesis and high anticipated selectivity and activity • Adapt simple surface recognition regions from hydroxamic acid inhibitors • Aliphatic linker • Thiol chelating agent 7
  • 8. Introduction | Molecular Modeling | Synthesis | Conclusions MOLEGRO MOLECULAR DOCKING • Moldock engine uses heuristics with a genetic algorithm for accurate ligand-protein docking5 • Six novel ligands were tested alongside known hydroxamic acid inhibitors – TSA and SAHA 5Thomsen, R., & Christensen, M. H. (2006). MolDock: a new technique for high-accuracy molecular docking. Journal of Medicinal Chemistry, 49(11), 3315–21. 8
  • 9. Introduction | Molecular Modeling | Synthesis | Conclusions DOCKING RESULTS 9
  • 10. Introduction | Molecular Modeling | Synthesis | Conclusions SYNTHETIC TARGET The active metabolite, top, and the synthetic target, a disulfide dimer • Molecular Weight of 253, 504 for the dimer • Few hydrogen bonding sites • clogP between 3.2 and 3.6 10
  • 11. Introduction | Molecular Modeling | Synthesis | Conclusions SYNTHESIS 11
  • 12. Introduction | Molecular Modeling | Synthesis | Conclusions SYNTHESIS 12
  • 13. Introduction | Molecular Modeling | Synthesis | Conclusions PRODUCT VERIFICATION • Intermediate products were verified using IR spectroscopy • Final verification was done using proton and carbon-13 NMR • C13 NMR shifts were predicted at the B3LYP/6-31G** level on a structure optimized at the 6-31G* level C-13 NMR spectrum of final product 13
  • 14. Introduction | Molecular Modeling | Synthesis | Conclusions Active metabolite IR spectrum 14
  • 15. Introduction | Molecular Modeling | Synthesis | Conclusions CONCLUSIONS • Successfully designed and synthesized a novel thiolate histone deacetylase inhibitor • Molecule is predicted to have high selectivity and activity, based on molecular modeling • May one day prove to be effective for the treatment of cancers 15
  • 16. Introduction | Molecular Modeling | Synthesis | Conclusions FUTURE WORK • Additional molecular modeling to verify selectivity • Increased synthetic yields – better catalysis and optimized reaction conditions • Preliminary biological assays, first on enzyme samples in vitro, then established cell lines DMAP, a potential catalyst for the esterification 16
  • 17. Introduction | Molecular Modeling | Synthesis | Conclusions ACKNOWLEDGMENTS Special Thanks to: Dr. Myra Halpin Dr. Darrell Spells The Research in Chemistry Program and Students The NCSSM Science Department Dr. W. Andrew Tucker of Queens University Additional Thanks to the Following: Dr. Amy Sheck, NCSSM Mr. John Woodmansee, NCSSM Ms. Leslie Brinson, NCSSM My Family 17

Editor's Notes

  1. WHY DOES TABLE MATTER-Talk about disulfide dimer
  2. WHY DOES TABLE MATTER-Talk about disulfide dimer