• DocumentCode
    1600086
  • Title

    The Research on the Relationship Between Adrenergic Receptor Subtypes

  • Author

    Yu, Hailong ; Xu, Yan ; Xiao, Yun ; Li, Xia

  • Author_Institution
    Harbin Med. Univ., Harbin
  • Volume
    5
  • fYear
    2007
  • Firstpage
    233
  • Lastpage
    238
  • Abstract
    The adrenergic receptors, which control the regulation of blood pressure, energy homeostasis and metabolism of glucose and lipids within the body, are a class of G protein-coupled receptors and a class of the most important receptors within the body. Adrenergic receptors are grouped into three types, alpha1, alpha2 and beta. Within each type, Molecular biological studies revealed further subtypes, they are designated as alpha1A, alpha1B, alpha1D, alpha2D, beta1, beta2, beta3. Biological studies found that some subtypes interact with others in certain tissues, which means there are relations between these subtypes. Currently there have been fewer reports about the relationship between adrenergic receptor subtypes with a lack of selective agonists. Here we use bioinformatics tools and strategies to study the relationship between adrenergic receptor subtypes from three aspects, including molecular evolution, sequence similarity and protein-protein interaction. Finally we find that within the alpha1 three subtypes the evolution distance between alpha1A and alpha1B is relatively nearer, and their sequence similarity is higher; within the alpha2 three subtypes the evolution distance between alpha2A and alpha2C is relatively nearer, and their sequence similarity is higher. From the protein-protein aspect we find that alpha1A is directly interacting with beta1, the three subtypes of alpha1 as well as beta1 have more interacting proteins, and hence they are more active within the body.
  • Keywords
    biology computing; proteins; sequences; G protein-coupled receptors; adrenergic receptor subtypes; bioinformatics tools; molecular evolution; protein-protein interaction; sequence similarity; Biochemistry; Bioinformatics; Blood pressure; Databases; Evolution (biology); Humans; Lipidomics; Pressure control; Proteins; Sugar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.740
  • Filename
    4344844