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Protein three-dimensional structure predicting method and predicting cloud platform build by same

A three-dimensional structure and protein technology, applied in the application field of the method and cloud platform, can solve the problems of high cost, complicated use and installation, and inability to intuitively display the three-dimensional structure changes of the relevant positions of the variant protein.

Active Publication Date: 2019-02-01
国家卫生健康委科学技术研究所
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (1) When predicting the three-dimensional structure of a protein, relevant prediction software needs to be installed. This type of software in the prior art is a scientific computing library, and its use and installation are extremely complicated;
[0008] (2) This type of software in the prior art often needs powerful hardware support, and the cost required for each user is very high;
[0009] (3) Existing databases cannot visually display the three-dimensional structural changes of the relevant positions of the mutant protein

Method used

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  • Protein three-dimensional structure predicting method and predicting cloud platform build by same
  • Protein three-dimensional structure predicting method and predicting cloud platform build by same
  • Protein three-dimensional structure predicting method and predicting cloud platform build by same

Examples

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Embodiment

[0068] Example Method for predicting protein three-dimensional structure and a cloud platform for protein three-dimensional structure prediction constructed according to the method and its usage

[0069] This example exemplarily describes a process of predicting the three-dimensional structure of a disease-related protein using the protein three-dimensional structure prediction method of the present invention, as shown in the attached figure 1 As shown, the method includes the following six steps:

[0070] (1) Retrieve the structure related to the target sequence: search the sequence related to the target sequence in the protein database of known structure as an alternative template;

[0071] (2) Select a template: from the alternative templates in step (1), select a template according to the requirements of modeling;

[0072] (3) Align the target sequence with the template structure: by means of alignment, establish a structural equivalence list between the residues of t...

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Abstract

The invention provides a protein three-dimensional structure predicting method. The method comprises the following steps: (1) a structure related to a target sequence is retrieved; (2) a template is selected; (3) the target sequence is aligned with the template structure; (4) a model is built; (5) the model is evaluated; and (6) spatial alignment processing is carried out. The invention also provides a protein three-dimensional structure predicting cloud platform, which comprises a task collection and retrieval module, a template selection module, a target sequence and structure alignment module, a model building module, an evaluation module and a spatial alignment module. The protein three-dimensional structure predicting cloud platform is built on a cloud server. The invention also provides application of the cloud platform.

Description

technical field [0001] The invention relates to a method for predicting the three-dimensional structure of proteins, a prediction cloud platform constructed by using the method, and applications of the method and the cloud platform. Background technique [0002] Protein is an important component of organisms and has important biological functions, such as serving as a biocatalyst, regulating metabolism, immune protection, transport and storage of substances, and intercellular signal transmission. Various proteins can perform specific biological functions, which are related to their unique structures. The so-called protein structure refers to the unique spatial structure or three-dimensional structure of each protein. Protein molecules are covalent polypeptide chains formed by the condensation of amino acids, but natural protein molecules are not random loose polypeptide chains. Every natural protein has its own unique spatial structure or three-dimensional structure. This ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B10/00G16B20/30G16B50/00
Inventor 马旭路建波
Owner 国家卫生健康委科学技术研究所