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
Link To Document :
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