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Molecular Modeling Study on Tunnel Behavior in Different Histone Deacetylase Isoforms

Overview of attention for article published in PLOS ONE, November 2012
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Title
Molecular Modeling Study on Tunnel Behavior in Different Histone Deacetylase Isoforms
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049327
Pubmed ID
Authors

Sundarapandian Thangapandian, Shalini John, Yuno Lee, Venkatesh Arulalapperumal, Keun Woo Lee

Abstract

Histone deacetylases (HDACs) have emerged as effective therapeutic targets in the treatment of various diseases including cancers as these enzymes directly involved in the epigenetic regulation of genes. However the development of isoform-selective HDAC inhibitors has been a challenge till date since all HDAC enzymes possess conserved tunnel-like active site. In this study, using molecular dynamics simulation we have analyzed the behavior of tunnels present in HDAC8, 10, and 11 enzymes of class I, II, and IV, respectively. We have identified the equivalent tunnel forming amino acids in these three isoforms and found that they are very much conserved with subtle differences to be utilized in selective inhibitor development. One amino acid, methionine of HDAC8, among six tunnel forming residues is different in isoforms of other classes (glutamic acid (E) in HDAC10 and leucine (L) in HDAC 11) based on which mutations were introduced in HDAC11, the less studied HDAC isoform, to observe the effects of this change. The HDAC8-like (L268M) mutation in the tunnel forming residues has almost maintained the deep and narrow tunnel as present in HDAC8 whereas HDAC10-like (L268E) mutation has changed the tunnel wider and shallow as observed in HDAC10. These results explained the importance of the single change in the tunnel formation in different isoforms. The observations from this study can be utilized in the development of isoform-selective HDAC inhibitors.

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Geographical breakdown

Country Count As %
Indonesia 2 3%
United Kingdom 1 2%
United States 1 2%
Taiwan 1 2%
Unknown 55 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Student > Master 11 18%
Researcher 7 12%
Professor > Associate Professor 5 8%
Student > Bachelor 4 7%
Other 10 17%
Unknown 10 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 30%
Agricultural and Biological Sciences 13 22%
Chemistry 9 15%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Medicine and Dentistry 3 5%
Other 3 5%
Unknown 10 17%