Structural and energetic basis for the inhibitory selectivity of both catalytic domains of dimeric HDAC6

Yudibeth Sixto-López1, Martiniano Bello1, José Correa-Basurto1

  • 1Laboratorio de Desarrollo de Nuevos Fármacos e Innovación Biotecnológica (Laboratory of Drug Development and Biotechnology Innovation), Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional , Mexico City , Mexico.

Insights

This study models the human HDAC6 protein structure to investigate its interactions with inhibitors and substrates. Findings reveal HDAC6

Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Chemistry

Background:

  • Histone deacetylase 6 (HDAC6) is implicated in cancer, neurodegenerative diseases, and inflammatory disorders.
  • The complete 3D structure of human HDAC6 remains unelucidated, hindering drug development.
  • Existing experimental structures of homologs provide templates for modeling.

Purpose of the Study:

  • To computationally model the full 3D structure of human HDAC6, including its catalytic domains and linker region.
  • To analyze the binding affinities and stability of HDAC6-ligand complexes using molecular modeling techniques.
  • To explore the molecular recognition mechanisms of HDAC6 inhibitors and its selective substrate.

Main Methods:

  • Molecular modeling to construct the 3D structure of human HDAC6.
  • Docking and molecular dynamics (MD) simulations.
  • Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) for binding free energy calculations.
  • Principal Component Analysis (PCA) and per-residue decomposition analysis.

Main Results:

  • The study successfully modeled the 3D structure of human HDAC6.
  • Ligand affinity analysis indicated a preference for the DD2 catalytic domain for inhibitors like CAY10603 and Tubacin.
  • The 9-peptide substrate showed higher affinity for the DD1 catalytic domain, consistent with experimental data.
  • PCA and residue analysis identified key residues involved in molecular binding and structural dynamics.

Conclusions:

  • The developed HDAC6 model provides insights into its structural and energetic properties.
  • Understanding these interactions can guide the rational design of novel HDAC6-targeting drugs.
  • Computational approaches are valuable for elucidating protein structures and their interactions with ligands.

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