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Effect of quercetin on the protein-substrate interactions in SIRT6: Insight from MD simulations.
- Source :
-
Journal of Molecular Graphics & Modelling . Jul2024, Vol. 130, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- SIRT6 is of interest for its promising effect in the treatment of aging-related diseases. Studies have shown quercetin (QUE) and its derivatives have varying degrees of effect on the catalytic effect of SIRT6. In the research, the effect of QUE on the protein-substrate interaction in the SIRT6-mediated mono-ADP ribosylation system was investigated by conventional molecular dynamics (MD) simulations combined with MM/PBSA binding free energy calculations. The results show that QUE can bind stably to SIRT6 with the binding energy of −22.8 kcal/mol and further affect the atomic interaction between SIRT6 and NAD+ (or H3K9), resulting in an increased affinity between SIRT6-NAD+ and decreased SIRT6-H3K9 binding capacity. At the same time, the binding of QUE can also alter some structural characteristics of the protein, with large shifts occurring in the residue regions involving the N-terminal (residues 1–27), Rossmann fold regions (residues 55–92), and ZBD (residues 164–179). Thus, QUE shows great potential as a scaffold for the design of novel potent SIRT6 modulators. The binding of Quercetin with SIRT6 affects the protein-ligand interaction in the SIRT6-mediated mono-ADP ribosylation system. [Display omitted] • Quercetin and its derivatives affect protein-substrate interactions in the SIRT6-mediated mono-ADP ribosylation reaction. • Quercetin has a binding energy of −22.8 kcal/mol and may attach to SIRT6 steadily. • Quercetin results in an increased affinity between SIRT6-NAD+ and decreased SIRT6-H3K9 binding capacity. • The binding of quercetin results in alterations to the structural characteristics of the SIRT6 protein. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10933263
- Volume :
- 130
- Database :
- Academic Search Index
- Journal :
- Journal of Molecular Graphics & Modelling
- Publication Type :
- Academic Journal
- Accession number :
- 177484467
- Full Text :
- https://doi.org/10.1016/j.jmgm.2024.108778