Derivation of Self-inhibitory Helical Peptides to Target Rho-kinase Dimerization in Cerebrovascular Malformation: Structural Bioinformatics Analysis and Peptide Binding Assay.

MOLECULAR INFORMATICS(2016)

引用 3|浏览18
暂无评分
摘要
Rho-kinase dimerization is essential for its kinase activity and biological function; disruption of the dimerization has recently been established as a new and promising therapeutics strategy for cerebrovascular malformation (CM). Based on Rho-kinase dimer crystal structure we herein combined in silico analysis and in vitro assay to rationally derive self-inhibitory peptides from the dimerization interface. Three peptides namely Hlp1, Hlp2 and Hlp3 were successfully designed that have potential capability to rebind at the dimerization domain of Rho-kinase. Molecular dynamics (MD) simulations revealed that these peptides are helically structured when bound to Rho-kinase, but exhibit partially intrinsic disorder in unbound state. Binding free energy (BFE) analysis suggested that the peptides have a satisfactory energetic profile to interact with Rho-kinase. The computational findings were then substantiated by fluorescence anisotropy assays, conforming that the helical peptides can bind tightly to Rho-kinase with affinity K-D at micromolar level. These designed peptides are considered as lead molecular entities that can be further modified and optimized to obtain more potent peptidomimetics as self-competitors to disrupt Rho-kinase dimerization in CM.
更多
查看译文
关键词
Rho-kinase,dimerization,self-inhibitory peptide,cerebrovascular malformation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要