Identification method of superclass of G-protein-coupled receptors and Web service system thereof

A technology of coupling receptors and recognition methods, which is applied in the field of protein classification, can solve the problems that the sequence characteristics of G protein-coupled receptors cannot be fully expressed, the effect of protein recognition is affected, and the method lacks practicability, etc.

Inactive Publication Date: 2011-01-12
DONGHUA UNIV
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Problems solved by technology

[0004] (1) The digital method of sequence cannot fully represent the sequence characteristics of G protein-coupled receptors
[0005] (2) The classification system is too simple to affect the recognition effect of proteins
[0006] (3) The algorithm is not made into an online realizable system, so that the method lacks practicality

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  • Identification method of superclass of G-protein-coupled receptors and Web service system thereof
  • Identification method of superclass of G-protein-coupled receptors and Web service system thereof
  • Identification method of superclass of G-protein-coupled receptors and Web service system thereof

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Embodiment Construction

[0040] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0041] figure 1 What is described is a classification model of G protein-coupled receptors based on intelligent calculation. Specific steps are as follows:

[0042] (1) figure 1 The test samples in the test are collected from the authoritative G protein-coupled receptor database (GPCRDB), and the sequence of G protein-coupled receptors is extracted through a computer program, and the target is an unknown protein sequence.

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Abstract

The invention relates to an identification method of superclass of G-protein-coupled receptors (GPCRs) and a Web service system thereof; in the method, first order signature modules of samples of the GPCRs are adopted to express the samples of the GPCRs; a discrete binary particle swarm algorithm is adopted to extract the effective characteristics of the samples of the GPCRs; an integrated classifier model based on a fuzzy neural network is adopted to complete the classification of the GPCRs. The invention has the characteristics of high classification precision, fast speed and the like. The Web service system comprises the following steps: loading an identification model by a predictor; inputting the G-protein-coupled receptors sequence submitted by a Web client into a data transmitter; outputting the predicted results of the GPCRs classification; returning to the Web client by a Servlet component, The invention can predict the classification of the G protein-coupled receptor based on a common Web user.

Description

technical field [0001] The invention belongs to the technical field of protein classification, and in particular relates to a method for identifying superclasses of G protein-coupled receptors and a Web service system thereof. Background technique [0002] G-protein-coupled receptors (GPCRs), known as seven α-helices transmembrane segment receptors (7TM receptors), are the largest protein family in the human body. GPCRs are named for their ability to bind and regulate the activity of G proteins. According to the similarity of their protein sequences and their binding to ligands, GPCRs are divided into five superfamilies: Family A——rhodopsinlike receptors , Family B—secretinlike receptors, Family C—metabotrophic / glutamate / pheromone receptors, Family D—fungal pheromone receptors body and family E - cAMP receptors. Human genome sequencing has shown that there are about 720 genes involved in the synthesis of GPCRs, and the dysfunction of GPCRs can lead to many diseases, such a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G06N3/02G06F19/24
Inventor 丁永生顾全
Owner DONGHUA UNIV
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