Method for recognizing antioxidant protein based on interaction of amino acid composition and protein

An antioxidant protein and amino acid technology, applied in the field of medicine, can solve the problems of low accuracy of antioxidant protein identification, protein secondary structure error, etc., and achieve the effects of increasing model identification efficiency, improving work efficiency, and optimizing the identification effect.

Active Publication Date: 2021-11-05
NORTHEAST FORESTRY UNIVERSITY +1
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Problems solved by technology

[0003] The purpose of the present invention is: for the secondary structure predicted according to sequence information in the prior art, when using tools such as PSI-PRED to extract the characteristics of protein secondary structure information, there are errors in the predicted protein secondary structure, which in turn leads to Identify the problem of low accuracy and propose a method to identify antioxidant proteins based on amino acid composition and protein interaction

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  • Method for recognizing antioxidant protein based on interaction of amino acid composition and protein
  • Method for recognizing antioxidant protein based on interaction of amino acid composition and protein
  • Method for recognizing antioxidant protein based on interaction of amino acid composition and protein

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specific Embodiment approach 1

[0050] Specific implementation mode one: refer to figure 1 Specifically explaining this embodiment, the method for identifying antioxidant proteins based on amino acid composition and protein interaction described in this embodiment includes the following steps:

[0051] S1. Download the antioxidant protein sequence data, obtain the original antioxidant protein data set to be processed, randomly select a part of the data as the test set by stratified sampling, and use the rest of the data as the training set.

[0052] S2. Using CKSAAP and CT features to extract the vector features of the antioxidant protein data set to obtain two feature files, and splicing the two feature files to obtain a complete feature set.

[0053] S3. Use a variety of unbalanced processing algorithms to perform unbalanced processing on the training set data, so that the data set reaches a balanced state;

[0054] S4. Using the MRMD algorithm to perform feature selection on the feature set to obtain fea...

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Abstract

The invention discloses a method for recognizing antioxidant protein based on amino acid composition and protein interaction and relates to the technical field of medicine. Aiming at solving the problem that in the prior art, when a secondary structure is predicted according to sequence information and features of protein secondary structure information are extracted through tools such as PSI-PRED, errors exist in the predicted protein secondary structure, and then the accuracy of antioxidant protein recognition is low, the invention proposes a brand-new antioxidant protein recognition method: the characteristics of the antioxidant protein sequence are expressed through the protein-protein interaction characteristics and the amino acid composition, so the accurate recognition of the antioxidant protein can be achieved, and a theoretical basis is provided for corresponding protein positioning, disease analysis and drug research. According to the method, multiple unbalanced data processing methods are introduced when unbalanced antioxidant protein data are processed, finally, the model obtained by processing the data through the SMOTE algorithm is optimal, and the recognition effect of the antioxidant protein is optimized.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a method for identifying antioxidant proteins based on amino acid composition and protein interaction. Background technique [0002] Reactive oxygen species (ROS) are products of metabolic processes. Excessive ROS concentration will generate too many oxygen free radicals, and the antioxidant system in the organism cannot eliminate ROS fast enough, resulting in oxidative stress. Excessive oxidative stress can affect the destruction of macromolecular structures and even lead to cell death, which leads to aging and triggers genetic diseases such as cancer, acute and chronic kidney disease, neurodegenerative diseases, cardiovascular diseases, diabetes and atherosclerosis hardening. Antioxidant proteins can balance this oxidative stress response and prevent excessive concentrations of ROS from causing cell damage. However, traditional methods for identifying antioxidant proteins, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B15/20G06K9/62G06F17/16
CPCG16B15/20G06F17/16G06F18/214G06F18/24323
Inventor 汪国华翟祎笑邹权
Owner NORTHEAST FORESTRY UNIVERSITY
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