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Bioinformatics Analysis of G Protein-Coupled Receptors

Author: FanYi
Tutor: ChenXin
School: Zhejiang University
Course: Biochemistry and Molecular Biology
Keywords: G protein -coupled receptors GPCRs Comparative genomics Molecular modeling Silkworm CB1
CLC: Q51
Type: Master's thesis
Year: 2010
Downloads: 156
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Abstract

G protein-coupled receptors (G protein-coupled receptors, GPCRs) are the largest class of cell surface receptors. G protein-coupled receptor extracellular signaling molecules stimulate activation of intracellular signal transduction pathways, and ultimately induces cell response (for example: neurotransmission, growth, development, cell differentiation, inflammation, and immune response). Therefore, the formation of such receptors with a variety of diseases, the occurrence is closely related to, making it an important target for the development of new drugs and research. Traditional G protein-coupled receptors, however, there are some limitations, the paper combines interdisciplinary bioinformatics-depth study of the important topics of the G protein-coupled receptor function research areas breakthrough the limitations of traditional study. Consists of two main parts: the first part of the survey the new silkworm genome sequenced the G protein-coupled receptors (GPCRs). GPCRs involved in a large number of insect physiological and biochemical processes, such as growth and development. Model insects such as Drosophila and Anopheles G protein-coupled receptor has more depth, smaller individuals of both insects, many physiological and biochemical processes are difficult to observe. Silkworm as a representative of the insects of the Lepidoptera and economic well break through this bottleneck. However, current research in the field of silkworm G protein-coupled receptor is also less, so we used the method of comparative genomics detailed study and discuss the potential of G protein-coupled receptors in the silkworm genome, and specific discussion of the silkworm GPCRs other insect model the evolutionary relationships between the G protein-coupled receptors. The second part specifically study the molecular mechanism of a G protein-coupled receptors and Gα protein selectivity coupled. The selective coupling mechanisms of G protein-coupled receptor and Gα protein has been a function of G protein-coupled receptors is an important topic of study, but so far, the mechanism remains unknown. This thesis is a combination of structural biology and computational biology, the use of molecular modeling methods to simulate the bond between human cannabinoid receptors CB1 and Gα protein. The results found that CB1 receptor intracellular second loop-back structure, especially leucine 222 Ga protein selectively coupling has a significant contribution. The same time, the results to explain the results of a series of point mutations observed causes and mechanisms. Finally, innovation proposed a higher confidence the Gα protein selectively coupled the dihedral angles theoretical assumptions.

Bioinformatics Analysis of G Protein-Coupled Receptors

Abstract

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