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.
Abstract:
HDAC6 is a protein involved in cancer, neurodegenerative disease and inflammatory disorders. To date, the full three-dimensional (3D) structure of human HDAC6 has not been elucidated; however, there are some experimental 3D structural homologs to HDAC6 that can be used as templates. In this work, we utilized molecular modeling procedures to model both of the catalytic domains of HDAC6 connected by the linker region where DMB region is placed. Once the 3D structure of human HDAC6 was obtained, it was structurally evaluated and submitted to docking and molecular dynamic (MD) simulations along with Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) method to explore the stability and the binding free energy properties of the HDAC6-ligand complexes. In addition, its structural and energetic behavior was explored with each one of the catalytic domains in the molecular recognition of six selective HDAC6 inhibitors, HPOB, CAY10603, Nexturastat, Rocilinostat, Tubacin and Tubastatin A for DD2, and with the so-called 9-peptide which is DD1-HDAC6 selective substrate. The use of the whole system (DD1-DMB-DD2) showed a tendency toward the ligand affinity of DD2, CAY10603> Tubacin > Rocilinostat > Nexturastat > HPOB > Tubastatin > 9-peptide, which is in line with experimental reports. However, 9-peptide showed a higher affinity for DD1, which agrees with experimental reports elsewhere. Principal component analysis provided important information about the structural changes linked to the molecular recognition process, whereas per-residue decomposition analysis revealed the energetic contribution of the key residues in the molecular binding and structural characteristics that could assist in drug design.
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