Asari Tomo, Ikeyama Hiroaki, Taguchi Akihiro, Taniguchi Atsuhiko, Hayashi Yoshio, Takayama Kentaro
Department of Medicinal Chemistry, Tokyo University of Pharmacy and Life Sciences, Hachioji, Tokyo 192-0392, Japan.
Department of Medicinal Chemistry, Tokyo University of Pharmacy and Life Sciences, Hachioji, Tokyo 192-0392, Japan.
Bioorg Med Chem. 2021 Jun 15;40:116181. doi: 10.1016/j.bmc.2021.116181. Epub 2021 Apr 29.
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 prodomain 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 α-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 α-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.
抑制肌生成抑制素是治疗肌萎缩性疾病的一种有前景的策略。此前,我们鉴定出一段源自小鼠肌生成抑制素前体结构域21 - 43位的至少23个氨基酸的肽段,并通过丙氨酸扫描确定了有效抑制肌生成抑制素的九个关键残基。我们还报道了在32 - 36位附近倾向于形成α - 螺旋结构的23个氨基酸的肽段。在此,基于这些发现,我们进行了肽 - 肌生成抑制素相互作用的对接模拟。结果表明,通过对30 - 41主链进行α - 螺旋约束对接,我们获得了一种推测的结合模式,其中所有九个关键残基均与肌生成抑制素相互作用。通过分析四种推测对接模型的结合模式,我们确定了肌生成抑制素中六个在与肽相互作用中起重要作用的残基。这一结果为深入了解肌生成抑制素与肽相互作用位点之间的关系提供了有价值的见解,并可能有助于未来抑制剂的设计。