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Updated: May 26, 2026

Simultaneous Measurement of HDAC1 and HDAC6 Activity in HeLa Cells Using UHPLC-MS
Published on: August 10, 2017
Molecular dynamics simulation study explaining inhibitor selectivity in different class of histone deacetylases
Sundarapandian Thangapandian1, Shalini John, Keun Woo Lee
1Division of Applied Life Science (BK21 Program), Systems and Synthetic Agrobiotech Center (SSAC), Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Research Institute of Natural Science (RINS), Gyeongsang National University (GNU), 501 Jinju-daero, Gazha-dong, Jinju, Republic of Korea.
Abstract:
Histone deacetylases (HDACs) are key regulators of gene expression and thereby compelling targets in the treatment of various cancers. Class- and isoform-selective HDAC inhibitors targeting the particular isoform to treat cancers without affecting the normal expression of other isoforms are highly desirable. Molecular dynamics simulations were performed with the set of selective inhibitors and HDAC isoforms of three different classes. The results were compared both within and across the isoforms. The hydrogen bonds between protein and inhibitors are directly correlated with the selective experimental activity. The calculated distances between important amino acids and the metal binding part of inhibitors have disclosed the optimal distance to be maintained by a selective inhibitor. In addition, the calculated non-bonded interaction energies between inhibitor and catalytic residues revealed that the subtle difference in the amino acids at the highly conserved active sites of HDAC isoforms effectively scripts the selectivity story observed experimentally. The results of this study provide valuable information in designing highly selective HDAC inhibitors.
Insights
Designing selective histone deacetylase (HDAC) inhibitors for cancer therapy is crucial. Molecular dynamics simulations reveal key interactions that dictate inhibitor selectivity for specific HDAC isoforms, guiding future drug design.
Area of Science:
- Biochemistry
- Molecular Biology
- Pharmacology
Background:
- Histone deacetylases (HDACs) regulate gene expression and are cancer treatment targets.
- Developing isoform-selective HDAC inhibitors is essential to minimize side effects.
Purpose of the Study:
- To investigate the molecular mechanisms underlying the selectivity of HDAC inhibitors.
- To provide insights for designing more effective and selective HDAC-based cancer therapies.
Main Methods:
- Utilized molecular dynamics simulations to analyze interactions between selective inhibitors and HDAC isoforms.
- Compared simulation results within and across different HDAC classes and isoforms.
Main Results:
- Hydrogen bonds between protein and inhibitors directly correlate with selective activity.
- Optimal distances between amino acids and the inhibitor's metal-binding site were identified.
- Subtle amino acid differences in active sites explain observed experimental selectivity.
Conclusions:
- Molecular dynamics simulations effectively elucidate HDAC inhibitor selectivity.
- Findings offer valuable guidance for the rational design of highly selective HDAC inhibitors for cancer treatment.
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