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A structural topology-based method for predicting the three-dimensional structure of the transmembrane helix of G protein-coupled receptors

A transmembrane helix and receptor-coupled technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve difficult problems such as the conservation of transmembrane helix structures and the balance of local diversity, and achieve optimization The effect of clipping the sampling space and optimizing the evaluation criteria

Active Publication Date: 2016-11-30
SUZHOU UNIV
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Problems solved by technology

The above-mentioned methods essentially encountered the same problem: it was difficult to achieve a balance between the conservation and local diversity of the seven transmembrane helical structures, and the essence was that the two were not unified into a system model

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  • A structural topology-based method for predicting the three-dimensional structure of the transmembrane helix of G protein-coupled receptors
  • A structural topology-based method for predicting the three-dimensional structure of the transmembrane helix of G protein-coupled receptors
  • A structural topology-based method for predicting the three-dimensional structure of the transmembrane helix of G protein-coupled receptors

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings.

[0034] A method for predicting the three-dimensional structure of the transmembrane helix of G protein-coupled receptors based on structural topology, including:

[0035] (1) Construction of the structural topology model of the transmembrane helix

[0036] The structural topology referred to in the method of the present invention is different from the topology in computer graph theory. In the method of the present invention, the structural topology refers to the topology of the three-dimensional structure of the GPCR, which is referred to here as structural topology.

[0037] Most GPCRs have a similar structural topology: seven α-transmembrane helices (TMH, TransMembraneHelix), one N-terminal, three intracellular loops (ICL, IntraCellular Loop), three extracellular loops (ECL, ExtraCellular Loop) and a C-terminal. Among them, the helix bundle composed of seven α-tran...

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Abstract

The present invention provides a method for predicting the three-dimensional structure of the transmembrane helix of a G protein-coupled receptor based on structural topology, including: (1) constructing a structural topology model of the transmembrane helix: first constructing seven transmembrane helices of the G protein-coupled receptor (2) Predict the structural topology model of the transmembrane helix, which is divided into four stages: (21) The first stage is to identify the transmembrane helix region; (22) The second stage is to optimize the transmembrane helix region. The relative position between membrane helices; (23) The third stage is to optimize the rotation orientation of each helix in the membrane; (24) The fourth stage is to optimize the inclination angle of each helix and membrane; (3) Loop reconstruction: use Loop The fragments were inserted to link 7 helices, and finally the overall structure was slightly optimized. According to the spatial structure characteristics of the transmembrane helix, the method of the present invention establishes a structural topology model that takes into account both conservation and diversity, and uses the model to form a four-stage structure optimization method, trying to obtain a balance between sampling breadth and depth.

Description

technical field [0001] The invention relates to the technical field of G protein-coupled receptor structure prediction, in particular to a method for predicting the three-dimensional structure of the G protein-coupled receptor transmembrane helix based on structural topology. Background technique [0002] In 2012, two American scientists won the Nobel Prize in Chemistry for their outstanding research on G-protein-coupled receptors (GPCRs). The main significance of studying GPCR is that it is the largest superfamily of signal transduction proteins in the human body, which can interact with small molecules such as hormones, neurotransmitters, light, and odor molecules, and play an important role in cell signal transmission. The occurrence of major human diseases is often related to GPCR dysfunction. According to statistics, more than 10% of the world's top 200 best-selling drugs currently target GPCRs. GPCR is a special type of membrane protein embedded in biological membran...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/16
Inventor 吕强吴宏杰权丽君李海鸥
Owner SUZHOU UNIV
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