Journal
BIOORGANIC & MEDICINAL CHEMISTRY
Volume 40, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.bmc.2021.116181
Keywords
alpha-helix; Computer modeling; Docking study; Myostatin; Peptide
Funding
- Japan Society for the Promotion of Sciences (JSPS) KAKENHI [15H04658]
- MEXT-supported Program for the Strategic Research Foundation at Private Universities
- Intramural Research Grant for Neurological and Psychiatric Disorders on NCNP [29-4]
- Grants-in-Aid for Scientific Research [15H04658] Funding Source: KAKEN
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Inhibition of myostatin is a promising approach for treating muscle wasting disorders. Through docking simulations of a 23-mer peptide with myostatin, key residues and interaction sites were identified, providing insights for future inhibitor design.
Inhibition of myostatin is a promising strategy for the treatment of amyotrophic disorders. Previously, we identified a minimum 23-mer peptide spanning positions 21-43 of a mouse myostatin precursor-derived pro domain and identified the nine key residues for effective myostatin inhibition through Ala scanning. We also reported the 23-mer peptides that show the propensity to form an alpha-helical structure around positions 32-36. Here, based on these findings, we conducted a docking simulation of a peptide-myostatin interaction. The results showed that by alpha-helix restraint docking of the 30-41 main chain, we obtained a proposed binding mode in which all nine of the key residues interact with myostatin. By analyzing the binding mode of four proposed docking models, we identified six of the myostatin residues that play an important role in the interaction with the peptide. This result provides a valuable insight into the relationship between myostatin and peptide interaction sites and may help in the design of future inhibitors.
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