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Selectivity mechanism of phosphodiesterase isoform inhibitor through in silico investigations.
- Source :
-
Journal of molecular modeling [J Mol Model] 2021 Dec 14; Vol. 28 (1), pp. 9. Date of Electronic Publication: 2021 Dec 14. - Publication Year :
- 2021
-
Abstract
- Understanding the selectivity mechanism of inhibitors towards homology proteins helps to design selective candidates. Phosphodiesterase (PDE) family members act in the degradation of cAMP and cGMP, among which some isoforms such as PDE9A are attracting interest for Alzheimer's disease treatment, while PDE10A is used as target for treating schizophrenia. In this study, computational methods were used to investigate the major features of PDE9A/10A, with the purpose to provide deep understanding of the molecular mechanism of selective inhibition towards these two isoforms. Our result revealed that two conserved residues Gln453 and Phe456 were proven to be crucial for the binding affinity and inhibitory selectivity of PDE9A inhibitors. In addition, the high-affinity PDE9A inhibitors always interact with the conservative hydrophobic pocket as well as Tyr424 and Ala452 of PDE9A, while PDE10A selective inhibitors need to have two hydrophobic groups and two hydrogen bond donors to interact with the conservative Tyr693, Gln726, and Phe729 of PDE10A. This study provides valuable insights into the underlying mechanism of selective inhibition targeting PDE9A and PDE10A, for further search for potent and highly selective PDE9A/10A inhibitors.<br /> (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
- Subjects :
- Algorithms
Amino Acid Sequence
Catalytic Domain
Humans
Isoenzymes antagonists & inhibitors
Molecular Conformation
Molecular Structure
Protein Binding
Structure-Activity Relationship
Isoenzymes chemistry
Models, Molecular
Phosphodiesterase Inhibitors chemistry
Phosphodiesterase Inhibitors pharmacology
Phosphoric Diester Hydrolases chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 0948-5023
- Volume :
- 28
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of molecular modeling
- Publication Type :
- Academic Journal
- Accession number :
- 34907481
- Full Text :
- https://doi.org/10.1007/s00894-021-04934-7